Repository of Reproducible Computations

Free Statistics

of Irreproducible Research!

Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_surveyscores.wasp

Title produced by software

Survey Scores

Date of computation

Mon, 05 Apr 2010 13:16:15 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Apr/05/t1270473420yuhs2t83pn49hzj.htm/, Retrieved Sat, 20 Apr 2024 10:16:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=74595, Retrieved Sat, 20 Apr 2024 10:16:51 +0000

QR Codes:

Paste this QR Code to cite your computation.

Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

354

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Survey Scores] [E-Learn 2008 table 1] [2008-09-07 11:33:54] [b98453cac15ba1066b407e146608df68]
F RM D    [Survey Scores] [CSUQ++] [2010-04-05 13:16:15] [d76b387543b13b5e3afd8ff9e5fdc89f] [Current]

Feedback Forum

2010-04-11 19:31:03 [8326296a4a969e220946fc6855491489] [reply] 
U1 : --Overall, I am satisfied with how easy it is to use this website  
U2 : --Overall, I am satisfied with how easy it is to use this website  
U3 : --It was simple to use this website  
U4 : --I can effectively complete my work using this website  
U5 : --I am able to complete my work quickly using this website  
U6 : --I am able to efficiently complete my work using this website  
U7 : --I feel comfortable using this website  
U8 : --It was easy to learn to use this website  
U9 : --I believe I became productive quickly using this website  
U10 : --The website gives error messages that clearly tell me how to fix problems  
U11 : --Whenever I make a mistake using the website, I recover easily and quickly  
U12 : --The information (such as online help, on-page messages, and other documentation) provided with this website is clear  
U13 : --It is easy to find the information I need  
U14 : --The information provided by the website is easy to understand  
U15 : --The information is effective in helping me complete the tasks and scenarios  
U16 : --The organization of information on the website pages is clear  
U17 : --The interface of this website is pleasant  
U18 : --I like using the interface of this website  
U19 : --This website has all the functions and capabilities I expect it to have  
U20 : --Overall, I am satisfied with this website  
U21 : --Learning Statistics with this website is more effective than with a traditional handbook  
U22 : --Overall, the website was helpful in learning statistics  
U23 : --I intend to use this website when I need to apply statistics in the future  
U24 : --I would recommend this website to friends  
U25 : --The website contains sufficient hyperlinks to navigate  
U26 : --Using the scrollbar was not frustrating  
U27 : --Overall, I found that the website was able to quickly perform statistical computations  
U28 : --To learn statistics, this website is better than the statistical courses I have had so far  
U29 : --Next year, I will probably use the website/software again if I have to do statistical assignments  
U30 : --The content of the website meets my expectations  
U31 : --Performing tasks on this website is straightforward  
U32 : --It is easy to move from one page to another  
U33 : --Overall, the website reacts quickly and I don't have to wait too long to go to a new page or to download information  
U34 : --The software is stable and doesn't crash regularly  
U35 : --The fact that I can reproduce computations of others is beneficial for my learning  
U36 : --Papers that make use of reproducible computations are easier to assess  
U37 : --Reproducible computing helps me to communicate about statistics  
U38 : --Reproducible computing helps me to collaborate with other students  
U39 : --I don't need to understand error messages because my computational problems are more quickly resolved by sending the link of the archived computation to someone who understands them  
U40 : --My learning improves because the website allows me to reproduce and reuse the computations of others  
U41 : --I have a deeper understanding (of statistics) because the website's technology allows me to evaluate the work of other students  
U42 : --Sending feedback messages to other students encourages me to explore and learn  
U43 : --Receiving feedback messages from other students encourages me to explore and learn  
U44 : --Without reproducible computing it would be more difficult to collaborate with other students  

Post a new message

Dataseries X:

Download CSV

Histogram

Boxplots

4	4	3	4	3	4	4	4	4	2	3	4	5	4	3	4	2	4	4	4	4	4	4	4	5	4	5	3	4	5	3	2	3	4	5	3	3	4	2	3	5	4	5	5
3	3	2	4	2	2	3	2	2	3	1	1	1	1	2	3	2	2	3	2	1	1	2	2	4	2	5	1	4	2	2	4	4	4	5	4	5	5	3	4	4	4	4	4
5	5	5	5	5	5	4	4	5	2	2	2	4	3	4	3	3	3	5	4	3	4	5	5	4	4	5	3	5	4	5	5	5	5	5	5	5	4	3	5	5	5	5	5
4	4	4	4	4	4	3	4	4	2	2	3	3	4	4	4	2	2	4	4	2	4	4	3	4	4	4	2	5	4	4	4	3	4	4	4	4	4	5	4	4	3	3	4
3	3	2	4	4	4	3	3	4	5	2	5	4	2	2	2	3	3	4	4	2	2	4	1	4	3	4	2	4	4	2	4	4	4	4	4	4	4	3	4	4	4	4	4
4	4	4	4	4	4	4	3	4	3	3	4	2	2	4	4	3	3	4	4	3	4	4	4	4	3	4	4	4	4	4	4	4	5	4	4	4	4	3	4	4	4	4	3
5	5	4	5	4	4	4	5	4	5	4	3	4	3	3	4	5	5	4	4	5	5	4	3	4	4	4	5	5	4	4	3	4	5	5	5	4	4	2	4	4	5	4	4
4	4	3	4	3	3	4	3	4	3	3	4	4	2	3	4	2	3	3	4	5	4	4	4	4	4	5	4	4	3	4	4	4	4	4	3	3	5	3	5	5	3	5	5
4	4	3	4	4	4	2	2	4	2	3	3	3	2	4	3	2	2	4	3	2	3	3	3	2	3	4	2	2	3	4	3	4	4	4	4	4	4	4	3	4	4	5	4
2	2	2	2	2	2	2	4	2	4	2	4	1	2	2	2	4	4	4	2	2	2	3	2	4	4	5	2	3	2	4	4	4	4	4	4	4	4	3	4	4	4	4	4
5	5	5	5	5	4	4	4	3	3	2	4	4	4	4	4	5	4	4	4	5	4	4	3	4	4	4	5	3	4	4	3	5	5	3	3	3	3	4	4	4	5	4	3
5	4	4	5	5	5	5	4	4	3	4	4	4	4	4	4	4	4	5	5	5	4	4	5	4	4	4	5	5	5	4	5	5	4	5	5	4	4	3	4	5	5	4	4
4	4	4	3	4	4	4	4	3	4	4	3	4	3	4	4	3	3	3	4	4	4	4	3	4	3	4	3	4	4	4	4	4	4	5	4	5	4	4	5	5	4	4	5
3	3	2	3	3	3	4	3	3	2	3	3	4	3	4	3	3	3	3	2	4	4	3	3	3	4	3	4	3	3	3	4	1	2	3	3	3	3	3	4	4	4	4	3
4	4	4	4	4	4	3	3	4	1	3	2	2	3	4	4	4	3	4	4	4	3	2	2	4	3	5	4	2	4	4	4	3	4	4	4	4	4	1	3	3	2	1	3
4	4	4	4	3	4	4	5	3	2	3	3	4	3	4	4	3	2	5	3	5	3	4	3	4	4	3	4	5	4	4	4	4	5	4	5	4	4	4	NA	4	3	5	3
4	4	4	4	3	3	4	4	4	1	3	4	4	4	4	4	4	4	4	4	5	5	4	4	4	5	4	4	4	4	4	2	3	4	5	4	4	3	4	4	4	4	4	4
4	4	3	4	4	4	3	4	4	1	2	4	3	2	4	4	2	4	2	4	4	4	4	3	4	4	4	4	4	2	3	4	4	3	4	4	4	4	2	4	4	4	4	4
4	4	4	4	4	4	4	4	3	3	3	4	3	3	3	4	3	3	4	4	4	4	3	3	4	3	4	4	4	4	4	3	4	NA	4	3	3	3	2	3	4	4	4	3
5	5	4	5	5	5	5	5	5	4	4	4	4	4	4	5	4	5	4	4	5	5	5	5	5	5	5	5	5	5	4	4	5	5	5	5	5	5	2	4	5	4	5	1
5	5	4	4	5	5	5	5	5	4	2	4	4	5	5	5	5	5	5	5	5	4	5	4	5	3	4	5	5	4	4	3	5	4	5	5	2	4	3	4	5	5	4	1
4	4	4	4	4	4	3	3	4	1	2	1	3	3	4	3	4	4	4	4	4	4	5	5	4	4	4	5	5	4	4	4	4	3	4	4	4	4	2	4	4	4	4	4
3	3	2	4	3	3	3	4	3	4	3	3	2	2	3	2	3	3	4	4	3	4	4	4	3	3	4	2	4	4	4	4	4	4	4	4	4	4	2	4	4	4	4	4
2	2	2	2	2	2	1	1	2	2	3	3	1	2	2	3	3	2	2	2	1	2	2	2	2	4	3	2	3	3	3	4	3	4	4	3	4	3	3	2	2	2	2	3
2	2	2	3	3	3	3	3	3	2	2	4	2	2	4	3	4	4	2	3	3	2	3	2	4	4	4	3	3	2	4	2	2	2	4	5	4	4	2	3	3	4	4	4
3	3	3	2	2	2	4	2	3	3	4	4	3	3	3	4	3	3	4	3	4	4	4	2	4	4	5	3	3	3	4	4	4	5	5	5	5	5	NA	5	2	4	4	5
3	3	4	4	4	4	3	4	4	2	3	3	4	3	4	4	3	3	3	4	2	4	4	3	4	5	4	2	4	4	4	3	5	5	5	3	4	4	3	4	4	4	5	4
4	4	3	4	4	3	4	3	4	1	2	2	2	3	4	2	2	3	4	4	3	2	3	4	4	1	1	4	3	2	3	4	2	1	4	5	3	5	2	3	4	4	4	5
4	4	4	4	4	4	4	4	5	3	3	4	4	3	4	4	4	4	4	4	5	5	4	4	4	4	4	4	3	4	4	2	4	4	4	4	4	4	5	4	4	5	4	3
5	5	5	5	5	5	5	5	5	3	4	4	2	3	4	4	4	4	3	5	4	5	4	4	4	3	4	3	5	4	4	4	3	5	4	4	4	4	3	4	3	5	2	4
4	4	3	4	3	4	3	3	4	3	4	3	4	4	4	4	3	4	4	4	3	4	4	NA	4	3	4	3	4	3	4	4	4	4	4	3	4	4	3	4	3	4	4	3
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3
5	5	5	5	5	5	5	5	4	4	4	4	4	4	4	4	4	4	5	4	5	5	3	4	4	4	4	4	4	4	4	4	4	5	5	5	5	5	5	5	5	5	5	5
4	4	4	4	4	4	4	4	4	3	3	3	2	2	2	2	3	3	3	4	4	4	2	2	3	3	4	3	3	3	4	2	4	4	2	4	4	2	2	2	2	2	1	4
5	5	5	5	5	5	5	4	4	3	4	4	3	3	4	3	4	4	5	5	5	5	5	5	4	4	4	5	5	4	4	4	4	5	5	5	4	4	3	4	4	4	4	5
4	4	4	4	5	5	4	4	5	2	2	2	2	2	2	2	4	4	4	4	2	2	4	4	4	2	4	2	4	2	4	2	4	4	4	4	2	2	4	2	2	2	2	2
2	2	2	4	2	4	4	4	2	2	2	2	3	4	3	3	2	2	3	4	4	4	4	2	4	4	4	2	4	4	3	2	4	4	4	4	4	4	3	4	4	4	2	2
4	4	4	4	4	5	3	4	5	2	3	3	4	3	3	4	4	3	4	5	5	5	4	4	5	5	4	5	5	3	4	3	4	5	5	5	3	3	5	4	5	4	4	5
4	4	4	5	4	4	5	4	4	2	2	3	3	2	2	2	3	3	2	4	5	5	4	5	2	1	5	5	4	4	4	2	3	3	5	5	4	5	3	5	5	5	5	5
4	4	3	4	3	4	4	4	4	3	4	4	4	4	4	4	4	4	3	4	3	4	4	4	4	4	5	4	4	4	4	4	4	4	5	4	4	4	3	NA	4	4	4	4
5	5	5	5	5	5	5	5	5	1	3	3	5	5	5	5	5	3	5	5	5	5	3	3	4	5	5	3	4	4	5	2	5	5	5	5	5	5	2	4	4	3	3	3
2	2	2	2	4	2	2	1	3	4	2	3	5	1	4	4	4	4	4	2	1	2	2	2	4	1	5	3	4	3	3	NA	5	5	4	4	4	3	3	4	3	1	1	5
4	4	4	4	4	4	4	3	5	2	2	4	3	3	4	4	4	4	4	4	5	4	4	3	4	3	4	4	5	4	4	5	3	3	4	5	4	4	4	4	5	5	5	5
4	4	4	3	3	3	4	4	3	1	3	3	4	4	4	4	2	2	3	4	4	5	5	5	3	2	5	1	4	2	3	5	2	2	4	4	4	3	3	4	4	5	5	3
5	5	4	5	4	4	5	3	4	4	4	4	2	4	4	4	5	4	4	5	4	5	4	4	4	4	4	4	3	4	3	4	4	5	2	2	2	1	2	3	4	4	4	5
5	5	4	4	4	4	4	3	3	3	3	2	2	4	4	4	2	2	4	4	5	5	3	2	4	4	5	5	4	4	4	4	4	3	5	5	4	4	4	4	4	4	3	4
4	4	4	4	4	4	3	2	4	2	4	4	4	2	4	4	4	2	4	4	1	2	4	2	4	4	4	1	4	4	3	4	4	4	3	4	4	4	2	NA	2	3	3	4
2	2	2	2	2	2	2	3	3	2	2	2	2	2	2	2	2	2	2	2	1	1	3	2	2	2	4	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2
2	2	3	4	2	4	3	3	2	2	3	5	3	4	3	5	4	3	2	3	3	4	2	2	2	4	4	3	3	2	4	4	5	5	4	4	4	4	4	4	4	4	2	4
4	4	3	4	4	4	4	2	4	3	4	3	4	2	2	4	3	3	4	4	2	3	2	3	4	3	5	3	3	4	4	4	5	4	5	4	4	3	3	3	5	4	4	4
4	4	2	4	3	3	2	2	2	3	4	3	2	2	2	4	4	4	4	4	4	4	4	4	2	1	5	3	5	5	2	1	5	4	5	5	5	4	1	2	5	5	4	5
4	4	4	4	2	2	3	2	2	2	4	3	2	3	2	4	3	3	5	4	4	5	5	4	1	1	5	3	5	5	2	1	5	4	5	5	5	5	3	5	5	5	4	5
4	4	3	2	2	2	4	2	4	1	1	2	2	2	NA	4	4	4	3	4	3	4	4	4	3	4	5	4	3	2	4	2	5	5	4	4	4	4	1	2	4	3	4	4
5	5	5	5	4	5	4	4	5	2	3	4	5	5	5	5	4	4	4	4	4	4	4	3	4	5	5	3	4	4	3	4	2	3	4	4	4	3	4	4	4	5	2	4
3	3	3	4	4	4	3	4	3	2	NA	3	2	3	3	2	3	3	3	4	4	4	3	3	3	3	3	4	4	3	3	4	2	2	3	3	2	2	3	2	3	2	2	4
4	4	4	4	4	4	4	4	4	2	4	4	4	4	4	4	3	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4
4	4	4	4	4	4	2	4	2	3	3	4	3	4	4	4	4	2	3	3	3	3	4	2	4	1	4	3	4	3	4	3	4	4	5	4	4	4	3	3	3	4	4	4
5	5	5	5	5	5	5	5	4	3	3	4	5	5	5	5	5	5	3	5	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	5	4	4	4	5	5
5	5	5	5	4	4	4	5	4	4	4	5	4	4	4	4	5	4	4	5	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	3	4	4	4	4
4	4	4	4	4	3	4	4	3	3	3	3	4	4	4	4	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	3	3	3	3	4	3	3	3
5	4	3	4	5	4	4	4	4	2	3	4	3	3	3	4	5	4	3	3	4	3	4	5	4	5	3	4	5	4	3	4	4	5	4	3	4	4	2	3	3	3	4	4
4	3	3	3	2	2	3	2	3	2	2	4	2	3	2	3	3	3	4	3	4	4	3	3	3	4	3	4	3	3	3	3	4	4	4	4	3	4	2	4	4	4	4	4
4	4	4	4	4	4	3	2	4	2	3	4	3	3	4	3	3	2	4	4	4	4	2	3	4	4	4	4	4	3	4	4	4	4	4	4	4	3	4	4	3	3	4	4
4	4	4	4	4	4	4	4	4	3	3	4	4	3	4	4	4	3	3	4	4	4	4	4	3	3	4	4	4	4	4	3	3	4	4	4	4	4	4	4	4	4	4	4
3	3	3	4	4	4	4	2	4	2	2	4	3	4	4	4	3	3	4	4	5	5	4	3	4	4	4	5	4	4	4	3	4	5	5	2	4	4	3	5	4	4	5	5
5	5	5	4	5	5	5	5	5	4	4	3	4	4	4	5	1	1	3	4	5	5	5	4	4	4	4	4	4	4	4	5	4	5	4	4	5	5	5	5	4	4	4	4
4	4	4	4	4	4	4	3	4	3	4	4	4	3	4	4	4	4	4	4	5	4	4	4	4	4	4	4	4	4	4	3	3	4	4	4	4	4	4	5	4	5	5	4
4	4	4	4	4	4	4	2	4	1	1	2	4	4	4	4	4	4	2	4	2	4	4	4	4	4	4	2	4	4	4	2	4	4	5	5	5	4	2	4	4	4	4	5
4	4	5	4	3	3	4	3	4	4	4	4	3	2	3	4	4	4	4	5	3	4	3	3	4	3	4	3	3	4	4	4	3	5	3	4	4	4	4	4	4	3	5	4
4	4	4	5	5	5	4	4	4	3	3	4	5	5	5	4	5	4	5	5	3	5	5	5	5	4	5	4	5	5	5	5	5	5	5	5	5	5	3	4	5	5	3	5
4	4	4	4	4	3	4	3	4	3	4	4	4	3	3	4	4	4	4	4	5	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	4	4
4	4	4	4	3	4	5	4	4	1	3	3	4	2	4	4	3	3	3	4	4	5	5	5	4	4	5	4	5	3	4	3	4	4	4	5	4	4	3	4	5	4	4	5
4	4	4	3	3	4	4	2	3	1	2	4	3	2	4	4	4	4	3	4	5	4	3	3	4	5	5	4	3	3	4	4	4	5	5	3	4	4	3	5	4	3	4	3
4	4	3	4	2	4	4	4	2	2	2	2	4	4	2	4	4	4	5	4	2	4	4	4	5	2	5	4	4	4	2	5	5	5	4	3	4	4	5	3	4	2	4	4
3	3	2	3	3	3	3	2	4	4	4	3	3	3	3	3	4	4	3	3	3	3	3	3	3	3	4	3	4	3	4	4	3	2	4	3	3	4	1	4	4	3	1	5
3	2	3	4	3	3	4	3	3	2	3	3	4	3	3	3	2	3	3	4	3	2	3	3	3	4	2	4	3	3	4	3	2	3	4	3	4	3	3	2	3	2	3	3
4	4	3	3	2	2	3	4	3	2	3	3	3	2	3	3	3	3	3	3	4	4	4	4	3	2	4	4	4	3	3	3	4	5	4	4	4	4	2	3	3	4	4	4
4	4	4	4	4	4	4	3	4	2	2	4	4	4	4	4	4	4	4	4	3	4	3	3	4	1	4	3	3	4	3	3	4	4	4	4	4	3	3	4	4	5	4	3
3	3	2	3	3	3	3	3	4	4	3	3	3	3	3	3	3	3	4	4	3	3	5	4	4	5	5	3	4	5	5	4	5	2	5	3	4	4	1	4	4	3	2	5
4	4	4	4	4	4	4	3	4	3	4	4	3	3	4	3	3	3	4	4	3	4	4	3	3	2	4	3	5	4	4	4	3	4	4	4	3	3	4	4	3	3	3	4
4	4	4	4	4	4	3	3	3	2	2	4	3	3	4	4	3	3	3	4	4	4	3	3	4	2	3	4	2	3	3	3	4	3	4	3	3	3	3	3	3	3	4	2
4	4	4	4	3	4	4	4	4	2	2	3	4	2	3	3	2	2	4	4	1	1	1	1	2	1	5	1	1	3	3	4	5	2	4	4	4	4	4	4	4	1	4	4
4	4	4	4	4	4	3	2	4	1	3	4	3	3	5	5	5	4	4	4	4	4	3	2	4	4	5	3	5	5	5	4	5	5	5	5	3	5	1	5	3	4	2	4
2	2	3	3	4	4	2	1	2	3	2	3	2	3	3	3	3	3	3	3	1	2	2	1	2	3	4	1	1	2	1	2	2	3	3	3	3	3	3	3	3	3	3	3
4	4	4	4	4	4	4	3	4	3	4	4	4	3	4	4	4	4	4	4	2	2	3	4	4	4	4	2	3	4	4	3	4	4	4	3	3	3	2	4	4	4	4	4
3	3	3	3	4	2	2	5	3	2	3	4	4	3	2	2	2	2	3	4	3	2	4	3	4	2	5	2	3	4	3	3	5	5	4	4	4	3	3	3	3	NA	3	4
4	4	4	4	4	4	4	4	4	2	2	3	4	4	3	4	2	2	3	3	4	4	4	3	4	4	4	4	4	3	NA	2	2	3	3	3	3	3	3	4	3	4	4	3
4	4	4	4	4	4	3	4	4	3	4	3	3	3	4	4	4	4	4	4	5	4	5	4	4	4	5	4	5	4	4	4	5	5	5	5	5	5	4	4	4	5	4	5
2	2	2	2	2	2	2	2	2	3	3	4	3	3	3	4	4	3	2	2	3	3	2	3	3	3	3	2	4	3	4	4	4	4	4	4	4	4	4	4	3	4	4	4
3	3	2	4	3	4	4	4	4	1	3	4	2	3	3	2	3	3	3	4	4	4	3	3	4	4	4	4	3	3	3	4	4	5	3	3	3	4	3	4	4	4	4	3
4	4	3	2	4	3	3	4	4	2	2	2	2	3	3	4	3	3	3	3	4	4	3	3	4	4	5	4	3	3	3	4	4	4	5	4	4	4	3	4	4	4	4	4
NA	4	4	4	4	4	4	4	4	2	3	4	4	4	4	4	4	4	4	4	3	3	3	3	4	4	4	3	4	3	4	4	4	4	4	3	4	4	3	4	4	4	4	4
4	4	4	5	4	5	5	4	5	4	4	4	4	3	4	4	5	5	5	5	5	5	5	4	5	3	5	5	5	5	5	4	5	4	5	5	5	5	4	5	5	4	4	4
4	4	4	4	3	4	3	5	4	2	3	2	2	3	4	4	4	4	3	4	5	4	4	4	5	5	5	5	5	5	4	4	4	5	5	5	5	5	4	4	4	3	3	5
2	2	2	3	4	4	2	2	4	1	2	2	2	2	3	4	2	2	3	2	2	2	4	1	4	3	5	2	3	2	4	4	4	4	5	5	5	5	4	5	5	4	4	4
2	2	2	3	4	4	2	2	4	1	2	2	2	2	3	4	2	2	3	2	2	2	4	1	4	3	5	2	3	2	4	4	4	4	5	5	5	5	4	5	5	4	4	4
4	4	4	4	4	4	3	4	4	2	4	3	3	2	2	2	4	4	4	4	4	5	5	5	5	4	5	4	5	3	4	4	4	4	5	5	5	5	4	5	4	3	2	5
4	4	4	4	4	4	4	4	4	2	3	3	2	2	2	3	4	4	4	3	3	4	3	3	NA	4	4	3	3	3	3	4	4	4	5	5	3	4	3	4	4	4	4	4
3	3	2	4	3	4	2	3	3	3	3	2	3	3	4	4	4	3	4	4	3	3	3	3	4	3	4	3	4	4	4	2	4	3	5	4	4	3	3	4	2	4	3	4
4	4	4	4	3	4	4	4	4	3	3	3	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	5	5	4	4	5	4	4	5	5	5	4
4	3	2	4	4	4	3	2	3	3	3	4	5	4	4	4	2	2	4	4	5	5	4	4	4	2	3	4	4	5	4	2	4	3	4	4	4	3	4	3	4	4	4	5
5	5	4	4	4	4	4	3	4	2	3	4	4	2	4	4	4	4	4	4	3	4	3	4	4	2	4	3	4	4	4	4	4	4	5	5	5	5	3	4	4	4	4	4
5	5	5	5	5	5	5	5	5	1	1	4	3	5	5	5	5	5	5	5	5	5	5	3	5	1	5	5	5	5	5	5	4	5	5	5	5	1	5	5	5	5	5	3
5	5	5	5	5	5	5	5	5	1	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	1	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5
4	4	4	4	4	4	4	4	4	2	2	3	4	4	4	4	4	4	4	4	3	4	4	4	4	2	3	3	4	4	4	3	3	2	4	4	4	4	3	4	4	4	4	4
4	4	4	5	4	4	4	4	4	3	3	4	4	3	4	4	4	4	4	4	5	5	5	5	4	4	4	5	5	5	5	4	4	5	5	5	4	5	3	5	5	5	5	5
4	4	4	4	5	5	4	4	5	2	2	2	2	2	2	2	4	4	4	4	2	2	4	4	4	2	4	2	4	2	4	2	4	4	4	4	2	2	4	2	2	2	2	2
4	4	4	4	4	4	3	2	4	2	4	4	4	2	4	4	4	2	4	4	1	2	4	2	4	4	4	1	4	4	3	4	4	4	3	4	4	4	2	NA	2	3	3	4
4	4	4	4	3	3	4	4	2	3	2	4	3	2	2	4	3	3	3	4	3	4	2	3	4	2	5	3	4	4	3	4	4	3	4	3	3	4	3	4	4	4	4	4
4	4	4	4	4	4	5	3	3	3	2	3	4	3	3	4	3	3	5	4	3	4	4	4	4	4	5	3	4	3	4	4	4	5	3	4	4	4	4	3	3	3	4	4
3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	4	4	2	3	3	2	4	3	2	3	4	3	3	4	3	5	4	4	4
5	5	5	4	5	4	5	5	4	3	4	3	4	4	4	4	4	4	4	5	5	5	4	5	5	5	4	4	4	5	5	5	4	4	5	5	5	5	3	4	4	3	3	4
2	2	3	2	2	2	2	2	3	2	3	3	2	1	1	2	2	3	4	2	3	2	2	2	3	4	2	3	3	3	2	3	4	4	3	3	3	3	2	3	3	3	4	3
4	4	4	2	3	3	4	4	2	2	2	1	1	1	2	3	3	3	3	3	4	4	4	4	4	3	4	3	4	3	4	4	4	4	5	5	5	4	4	4	3	4	4	4
3	3	3	4	4	4	4	2	4	3	3	2	2	2	4	3	2	4	3	4	5	5	4	3	4	3	4	5	4	3	4	4	4	4	4	4	4	4	3	4	3	4	4	4
4	4	3	3	2	3	3	2	2	2	2	3	4	3	2	3	2	2	3	4	3	3	2	2	3	4	4	3	2	3	3	4	4	4	4	4	4	4	3	3	3	2	2	4
2	2	2	3	1	1	3	1	1	1	2	3	2	2	3	3	3	3	3	4	1	3	1	2	1	5	3	2	3	3	3	4	4	5	4	3	2	3	1	4	2	4	4	1
2	2	2	4	2	2	2	4	3	1	3	2	1	3	2	2	2	2	3	2	1	4	2	1	3	2	4	1	4	3	3	4	3	3	4	3	4	4	3	4	4	4	4	5
2	2	3	4	4	4	4	3	4	1	5	1	2	1	2	2	4	4	3	4	5	5	4	4	3	4	5	4	4	3	4	4	4	4	4	4	3	3	4	4	4	4	2	4
4	4	4	3	3	3	4	3	3	3	2	2	2	3	2	2	4	3	2	2	1	2	2	2	3	4	4	2	3	2	2	3	4	4	4	4	3	3	1	4	2	3	4	4
5	5	5	5	5	5	5	5	3	1	4	5	5	5	4	5	5	5	5	5	5	5	3	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	4	5	5	5	5	5
3	3	2	3	3	3	2	2	3	4	3	3	3	3	3	2	3	3	3	2	2	3	2	2	3	2	2	2	3	3	3	2	2	5	4	3	4	3	2	4	4	4	3	5
3	3	3	4	3	3	2	3	3	2	2	2	2	1	1	2	3	2	2	2	2	2	3	3	3	2	4	2	4	2	3	3	3	4	3	3	3	2	3	2	2	2	2	3
4	4	4	4	2	2	4	5	3	3	2	4	4	4	3	4	4	4	4	4	3	4	5	4	4	4	4	3	4	4	3	3	4	4	4	4	4	4	4	5	5	5	4	5
2	2	2	4	3	3	3	4	4	3	2	4	3	3	3	3	2	2	3	2	1	2	1	1	3	3	4	1	1	2	3	4	4	4	4	4	4	4	3	3	3	3	3	5
5	5	4	4	4	4	4	4	4	3	3	4	4	3	4	3	3	4	4	4	4	4	3	3	4	3	5	4	3	4	4	4	3	4	4	4	4	4	2	4	4	4	4	5
4	4	4	4	4	4	4	5	4	4	4	4	4	4	4	4	4	4	4	4	5	4	4	4	4	4	4	5	5	4	4	4	4	4	5	5	5	5	2	5	5	4	4	4
4	4	4	5	4	4	3	5	4	1	2	3	4	3	2	5	3	3	3	4	3	2	3	3	4	4	4	3	5	3	3	4	3	4	5	4	4	4	2	4	5	5	2	5
3	3	4	4	4	3	3	4	3	2	2	4	4	3	4	4	4	3	3	4	3	4	3	3	4	4	4	3	3	3	4	4	4	4	5	4	4	4	3	4	3	3	3	4
4	4	2	4	2	2	3	4	4	1	4	4	4	2	4	4	2	3	3	4	4	4	4	4	4	2	4	2	4	3	4	3	4	4	4	4	4	4	4	4	4	4	2	4
4	4	3	5	4	5	4	2	4	2	3	4	4	4	4	3	4	3	4	4	5	5	5	5	5	4	4	3	5	4	5	2	4	4	5	2	5	4	4	5	5	4	5	4
4	4	3	4	3	4	4	4	4	2	3	3	4	3	5	4	4	3	4	5	4	4	3	3	4	4	5	3	4	4	4	4	4	4	5	3	4	4	4	4	4	4	4	4
4	4	4	4	4	4	4	4	4	3	4	3	3	2	3	4	4	4	4	4	5	5	5	5	5	4	4	5	5	4	4	4	4	4	4	4	4	4	5	3	5	5	5	5
4	4	4	4	4	4	4	5	4	2	2	3	2	2	4	2	2	3	3	4	2	4	3	3	4	4	5	4	4	4	4	3	4	4	2	3	2	4	2	2	3	4	4	4
3	4	4	4	3	3	4	4	4	2	2	3	4	4	4	4	4	5	3	4	4	3	3	3	4	4	4	4	4	3	3	2	4	4	4	4	3	3	3	4	4	3	5	4
3	3	3	4	3	3	4	2	4	1	3	3	2	3	3	4	3	3	4	3	4	4	4	4	2	4	4	4	4	3	4	4	3	3	4	4	4	4	5	5	5	5	5	4
4	4	4	4	4	4	4	4	4	4	4	3	4	3	4	4	4	4	4	4	5	4	4	4	4	4	5	5	4	4	4	4	5	5	4	4	4	4	3	4	4	5	5	4
4	4	4	4	4	4	5	5	4	3	4	3	4	4	4	4	NA	4	4	4	5	5	3	4	5	4	5	4	5	5	4	4	5	5	5	4	4	3	3	4	4	5	5	5
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4
2	2	2	4	4	4	2	2	3	1	4	1	3	3	4	3	3	2	3	4	4	3	3	2	3	3	2	3	3	2	4	4	3	4	2	2	3	4	4	2	3	3	2	2
2	2	2	3	3	3	3	2	2	3	3	2	1	3	2	2	3	3	4	3	1	3	4	3	3	5	5	3	4	4	2	4	5	5	2	1	1	4	3	3	4	3	4	4
3	3	3	3	2	2	3	3	2	4	3	4	2	3	3	2	3	3	3	3	3	3	3	2	3	3	3	3	3	3	3	4	4	4	4	4	4	4	2	4	4	4	4	4
4	4	4	4	4	4	4	4	4	2	2	3	3	2	2	4	NA	4	4	4	3	3	3	4	3	3	4	4	4	4	3	3	4	4	4	4	4	3	2	4	4	5	5	3
5	4	4	5	3	2	3	4	4	4	3	2	4	4	4	4	3	3	3	4	3	4	4	4	3	2	4	4	4	4	4	4	5	4	4	3	3	4	3	3	2	4	4	4
4	4	4	4	4	4	4	2	3	3	3	3	2	2	2	2	2	2	3	4	2	3	2	2	3	4	4	2	2	3	3	4	4	4	3	4	3	3	4	4	3	3	4	4
2	2	3	4	3	2	3	4	2	2	3	2	4	2	3	4	3	3	4	3	2	2	2	2	4	4	3	1	3	2	4	4	4	4	4	4	2	4	3	3	2	3	4	4
3	3	4	4	3	3	3	4	4	4	4	4	4	4	3	4	2	2	4	3	3	4	4	4	4	3	3	2	4	4	4	2	2	4	4	4	4	4	4	4	4	4	4	4
4	4	4	4	4	4	4	4	4	3	3	4	4	4	4	4	4	4	4	4	5	4	5	5	4	4	4	5	5	5	4	4	4	4	5	5	4	4	4	4	4	5	4	5
4	4	4	4	3	4	4	5	1	2	5	3	3	3	4	2	2	2	4	4	3	4	1	2	4	2	5	4	3	3	4	3	4	4	4	4	4	3	3	3	3	3	3	3
3	3	3	4	3	3	1	2	3	1	2	3	4	3	NA	3	3	2	3	3	4	3	3	2	NA	3	3	2	3	3	3	2	3	2	1	2	3	2	3	3	2	2	3	3
4	4	4	4	4	4	4	4	4	2	3	2	4	4	4	4	4	4	4	4	5	5	5	5	5	5	5	5	5	5	4	5	5	4	5	5	5	5	5	5	5	5	5	5
5	5	5	5	5	5	4	5	5	4	4	4	4	4	4	3	4	4	4	4	5	5	4	4	4	3	4	4	4	4	4	4	4	4	5	4	4	4	4	4	4	4	4	4
3	3	3	3	2	2	3	2	2	3	2	1	1	2	2	2	4	3	1	2	2	2	2	2	3	4	4	1	2	2	3	3	4	5	3	4	4	4	4	NA	3	3	2	3
4	3	4	4	4	4	4	3	3	3	3	3	4	3	3	3	3	3	4	4	4	4	4	4	4	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	4	4	3
4	4	4	4	4	4	4	4	4	3	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	4	5	5	4	5	5	5	5	3	4	4	5	4	5
3	4	4	4	4	4	4	2	3	1	1	2	2	4	4	3	3	3	2	3	2	4	3	2	3	2	5	2	4	4	4	4	4	5	5	4	3	3	2	2	5	5	4	2
3	3	2	2	3	3	3	3	3	3	4	3	2	4	4	3	4	4	4	3	3	4	4	4	3	5	4	2	4	3	5	3	5	5	5	5	4	5	2	5	5	5	5	5
4	4	4	4	4	4	3	4	3	2	2	3	4	3	3	4	3	3	4	4	5	5	5	4	3	4	5	5	4	4	4	3	4	4	3	4	3	3	3	3	4	4	4	3
4	4	3	3	2	2	3	4	2	2	4	3	3	4	3	4	2	2	4	3	4	4	4	3	4	2	4	3	4	2	3	2	3	2	4	4	4	4	3	4	4	4	4	4
4	4	4	4	4	4	4	4	3	1	1	3	3	2	4	2	3	3	4	4	1	1	4	3	4	4	4	1	4	4	4	4	4	4	4	3	1	1	1	1	1	1	1	1
3	3	2	4	2	2	4	4	2	2	3	4	2	2	2	2	3	3	3	2	2	4	4	4	3	2	4	3	3	3	4	3	5	5	5	5	3	3	2	4	2	4	1	5
4	4	4	4	4	4	4	2	2	1	1	2	2	3	3	4	2	3	4	3	5	2	3	3	NA	2	2	4	5	4	3	3	4	4	3	NA	2	2	4	2	2	2	2	4
2	2	2	3	3	3	2	4	4	3	3	4	3	4	3	1	1	1	2	2	4	4	3	3	4	1	4	4	3	2	3	4	4	4	5	4	5	5	3	5	4	4	5	5
4	3	3	3	4	4	3	2	4	4	5	4	2	4	4	3	4	4	4	4	3	4	4	3	4	4	4	2	4	4	4	3	5	5	5	4	3	4	3	4	4	5	5	4
3	3	3	3	4	4	3	2	2	3	3	2	3	2	3	3	3	2	3	3	3	4	3	3	2	5	3	4	3	3	3	2	3	4	3	4	3	4	3	3	4	3	3	3
2	2	1	2	3	3	2	1	2	2	2	3	3	3	3	3	3	2	3	2	1	4	3	2	3	2	3	2	4	3	3	3	4	4	4	4	3	3	2	3	3	4	4	3
1	1	2	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
4	3	3	4	4	4	4	4	3	4	4	4	4	3	3	4	4	4	3	4	3	4	4	4	4	3	4	3	4	4	4	3	4	4	4	4	4	4	3	4	3	4	3	4
4	4	3	4	4	3	3	5	4	2	2	3	2	1	2	2	3	3	3	3	4	4	3	3	4	2	5	5	5	3	3	4	4	4	5	4	3	3	1	3	3	4	5	3
4	4	3	4	4	4	4	3	4	2	3	3	3	3	4	4	4	4	5	4	4	4	4	5	5	5	5	5	5	4	4	3	4	5	4	5	5	4	4	4	4	3	4	5
4	4	4	2	2	2	1	3	2	2	2	4	3	3	2	4	4	1	5	3	2	2	3	1	3	2	3	2	3	3	2	2	2	5	4	4	4	4	3	3	2	4	4	5
5	5	5	5	5	5	4	4	4	2	3	3	3	3	4	4	4	4	4	4	5	5	5	5	5	4	5	5	5	5	5	4	5	5	5	5	4	4	3	5	5	5	5	5
4	4	3	4	3	4	4	4	4	2	2	2	2	4	3	3	3	2	4	4	4	4	4	4	3	2	4	4	4	4	4	4	4	4	4	4	3	3	4	4	4	3	4	4
5	5	5	5	5	5	5	5	5	1	1	5	5	2	5	5	5	5	2	4	3	3	4	4	5	5	4	3	4	4	5	5	3	3	4	5	4	4	4	3	2	4	4	4
4	4	4	4	4	4	4	4	4	2	4	4	4	4	4	4	1	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	4	4	4
1	1	1	2	2	2	1	1	2	3	3	2	1	2	2	2	1	1	2	1	1	1	3	1	3	4	4	1	3	3	1	1	2	4	4	2	2	2	4	3	2	2	2	3
5	5	5	5	5	5	5	5	4	1	3	3	4	5	3	3	5	5	4	5	3	3	3	3	5	5	5	3	5	5	3	1	5	5	5	5	3	5	3	4	1	5	5	3
4	4	3	4	3	2	3	2	4	2	3	2	4	5	4	2	2	3	2	3	1	5	4	2	3	3	2	1	2	5	4	4	3	3	5	4	2	2	3	2	5	2	3	1
4	4	3	3	3	4	4	4	4	4	3	3	4	4	4	4	4	3	4	4	1	3	3	3	4	3	3	3	3	3	4	3	3	5	4	3	3	3	3	3	3	3	3	3
4	4	4	4	4	4	4	4	3	2	3	3	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	3	3	4	4	4	3
4	3	4	3	4	4	3	4	3	4	4	4	3	4	4	3	4	3	4	3	4	3	3	4	4	3	4	3	4	4	4	3	3	4	3	4	4	4	3	3	3	4	4	4
4	4	4	4	4	3	4	3	4	4	3	4	3	5	4	3	4	4	3	4	3	4	3	4	3	3	3	4	4	3	4	3	4	4	3	3	4	4	3	3	3	3	4	3
2	3	2	3	3	4	3	NA	3	3	4	3	3	4	3	3	4	3	3	2	3	4	3	3	2	2	2	1	2	3	3	4	3	2	3	3	4	3	3	2	3	5	2	3
1	1	2	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3
2	2	2	2	2	2	2	2	2	2	2	2	4	4	3	4	2	2	3	2	1	1	4	1	3	3	4	1	2	4	3	4	3	4	4	3	3	3	3	1	1	3	3	3
4	4	4	4	4	4	4	4	4	2	2	2	3	2	2	2	2	2	2	4	5	4	4	3	4	4	4	5	3	4	4	2	4	4	4	4	4	4	2	4	4	5	5	5
4	4	4	4	4	4	4	2	4	2	2	4	4	4	3	4	3	3	3	4	4	4	4	5	5	4	4	2	5	4	4	NA	4	3	5	5	4	4	3	5	4	4	5	4
3	3	3	3	4	4	4	2	4	2	2	2	3	2	2	2	2	2	4	3	3	4	4	3	3	3	3	3	3	4	2	4	2	4	3	2	4	4	4	3	2	3	4	2
4	4	4	4	4	4	4	4	4	3	4	3	4	3	4	4	3	3	4	4	5	5	4	4	4	4	5	5	5	5	5	4	4	5	3	4	4	4	2	3	3	4	4	5
3	3	4	4	4	4	3	4	4	3	4	5	4	5	5	5	4	3	4	5	5	5	4	4	5	3	5	5	4	3	3	5	5	5	5	5	4	5	3	5	3	4	5	3
3	3	3	4	3	4	3	3	3	2	2	2	2	2	3	3	2	2	3	3	3	2	3	2	4	4	4	2	3	3	3	3	2	4	4	4	3	4	3	3	3	4	4	4
4	4	4	4	4	4	3	4	4	4	3	4	4	4	4	4	4	4	4	4	5	4	4	4	4	3	4	4	4	4	4	4	5	5	5	3	4	4	2	4	4	4	4	3
5	5	5	5	5	5	5	3	5	4	2	4	5	5	5	4	2	5	3	5	5	5	2	2	4	5	5	5	5	5	5	4	5	5	5	5	3	5	5	4	5	4	5	5
2	2	2	2	2	2	3	3	2	1	1	2	4	4	2	4	2	2	2	3	4	4	2	2	4	4	4	3	3	4	4	4	4	2	4	4	4	4	2	4	4	3	3	4
5	5	5	5	5	5	5	5	4	3	3	2	4	4	4	4	3	3	3	4	5	5	5	5	5	5	5	5	5	5	4	5	5	5	5	5	5	5	5	5	4	4	5	5
4	4	4	3	2	4	3	2	2	2	4	4	2	2	2	4	3	3	4	4	2	4	4	2	4	4	4	2	4	4	4	3	4	4	4	4	4	4	2	4	3	2	3	4
4	4	4	5	4	4	4	5	3	3	2	3	5	4	4	4	4	4	4	4	3	4	4	4	4	2	4	4	4	3	4	4	2	4	4	4	3	2	2	1	4	3	4	4
4	4	4	4	3	4	4	3	3	3	3	3	3	4	4	4	3	3	4	4	4	4	4	4	4	3	4	4	4	3	4	4	4	4	4	4	4	4	3	4	4	4	4	4
4	4	4	5	5	4	4	3	4	4	4	5	4	4	5	4	5	4	5	4	5	5	5	4	4	5	4	4	5	5	4	3	4	5	5	5	5	5	5	4	4	4	4	3
1	1	1	1	1	1	1	1	1	2	1	2	3	2	3	1	NA	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1	1
4	4	3	4	4	4	3	4	4	4	4	4	4	3	3	4	4	3	4	4	4	4	3	3	4	3	4	4	3	4	4	4	4	4	5	5	4	4	2	4	4	3	4	4
4	4	3	3	3	3	4	3	3	3	3	3	3	4	4	4	4	NA	4	4	5	5	5	5	5	4	4	4	4	4	4	5	3	4	4	4	4	4	3	4	4	4	4	5
3	3	3	4	4	3	3	1	3	2	1	3	2	2	5	3	4	4	4	3	5	4	1	1	2	2	2	5	2	2	2	1	5	5	5	NA	5	5	2	5	3	4	5	5
4	4	4	4	2	2	3	3	3	2	3	2	2	2	3	3	3	2	2	3	4	3	3	3	3	4	3	2	3	3	3	1	4	4	5	4	5	5	3	3	4	2	2	4
2	2	2	3	3	3	2	2	2	2	2	4	2	2	2	3	2	2	2	2	4	4	4	2	3	2	4	4	4	3	3	2	2	4	4	4	3	3	4	4	3	4	4	3
4	4	4	5	4	4	4	3	3	3	4	2	4	3	4	4	3	3	4	4	3	4	3	3	4	4	5	4	3	4	4	5	5	5	5	5	5	5	4	4	4	3	4	4
3	3	2	4	3	4	2	3	3	2	3	3	4	2	3	4	4	3	4	3	2	4	2	3	4	4	5	3	4	3	3	4	4	5	4	4	4	4	4	4	4	4	4	4
4	4	4	4	4	4	4	4	3	3	3	4	3	3	4	3	4	4	3	4	3	4	4	4	4	3	4	3	4	3	4	4	4	5	4	4	3	4	3	3	4	3	4	4
4	4	4	4	4	4	4	4	3	3	3	4	3	3	4	3	4	4	3	4	3	4	4	4	4	3	4	3	4	3	4	4	4	5	4	4	3	4	3	3	4	3	4	4
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	5	5	4	4	4	4	4	5	5	5	5	4	5	4	4	4	4	4	4	4	5	4	4
4	4	3	4	2	3	3	2	4	2	4	4	2	3	4	3	4	3	4	4	5	5	5	5	5	4	4	3	5	3	4	2	1	5	5	5	4	5	2	4	4	5	5	4
3	3	3	3	3	3	2	3	4	2	2	4	3	1	1	2	3	3	3	3	4	4	3	3	4	4	4	4	4	3	4	2	3	2	3	4	4	4	3	4	4	4	4	4
3	3	3	2	2	2	2	2	2	2	1	2	2	2	2	2	1	1	2	2	2	2	2	2	2	2	2	2	2	2	2	1	2	2	2	4	4	4	2	2	2	2	2	2
4	4	4	5	5	4	1	5	5	2	3	4	2	4	4	2	4	4	3	4	5	5	5	5	4	3	5	5	5	4	4	5	5	4	5	5	5	4	3	5	5	4	5	4
3	3	3	4	4	4	4	3	3	4	4	4	4	3	4	4	3	3	4	4	3	3	3	4	4	3	5	3	4	4	4	4	5	5	5	4	4	4	3	4	4	3	3	4
3	3	3	4	4	4	4	3	3	4	4	4	4	3	4	4	3	3	4	4	3	3	3	4	4	3	5	3	4	4	4	4	5	5	5	4	4	4	3	4	4	3	3	4
2	2	2	4	5	3	3	1	5	2	2	2	2	1	1	2	2	2	2	4	5	5	3	4	4	4	4	5	3	3	3	2	3	3	5	4	5	4	3	3	3	3	2	3
1	1	2	3	2	2	3	3	4	1	2	2	2	3	3	3	3	3	3	2	3	3	2	3	4	4	5	4	3	2	3	3	3	3	5	5	5	5	5	4	5	4	4	5
4	4	4	4	3	3	4	3	4	2	4	4	4	3	4	4	3	3	4	4	5	5	4	3	5	5	5	5	5	4	4	5	5	5	4	4	4	4	3	3	4	3	4	3
4	4	4	4	4	4	4	4	5	2	2	4	4	4	4	4	3	3	4	4	5	4	4	2	4	4	4	3	5	4	4	4	4	5	4	4	4	4	4	4	4	4	5	2
3	3	3	4	4	4	4	2	4	3	3	3	4	4	4	4	4	4	4	3	4	4	1	2	4	4	4	4	4	4	3	3	3	3	3	3	3	3	2	2	2	4	4	4
4	4	4	4	4	4	4	3	4	4	4	4	4	3	4	4	3	3	4	4	5	5	4	4	4	4	4	4	4	4	4	4	4	5	5	4	4	3	3	4	5	5	5	5
5	5	5	5	5	5	5	5	5	4	4	4	4	3	4	4	4	4	4	4	4	4	4	3	4	4	4	4	3	4	4	4	4	4	4	3	4	4	4	4	4	4	4	3
5	5	5	5	5	5	5	4	5	2	4	3	4	4	4	5	5	5	4	5	5	4	5	5	4	4	5	5	5	5	3	5	5	5	4	5	5	5	3	5	5	5	5	5
4	4	4	4	4	4	3	4	4	3	3	4	4	3	4	4	3	3	4	4	5	5	3	4	4	4	4	4	4	4	5	3	4	5	5	4	4	4	2	4	5	4	2	3
4	4	3	4	4	4	4	3	3	4	3	4	3	4	4	4	4	4	4	4	5	4	5	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	3
2	3	3	2	4	5	5	2	2	2	3	3	3	2	1	5	5	5	3	3	4	2	3	1	1	4	4	4	3	2	4	4	3	5	5	4	3	3	2	2	2	3	3	2
3	3	3	4	4	4	2	2	4	3	3	4	3	4	4	4	4	4	4	4	1	2	4	3	3	4	4	3	4	3	3	4	4	4	4	3	4	4	3	4	3	2	2	4
4	4	4	4	4	4	4	3	3	4	3	4	4	4	4	4	4	4	4	3	5	4	4	3	4	3	5	5	4	4	4	4	3	4	4	4	5	3	3	4	4	4	3	4
4	4	4	4	5	4	4	4	4	3	4	3	3	4	4	3	4	4	3	4	5	4	5	5	4	4	5	5	5	5	4	4	4	5	5	4	4	4	4	4	5	4	4	4
5	5	5	5	5	5	5	5	5	2	5	3	2	3	3	2	4	4	3	5	5	5	4	5	4	3	4	5	5	5	4	4	5	5	5	3	4	5	4	5	3	4	4	4
4	4	4	4	4	4	4	4	4	4	3	4	5	4	3	4	4	3	5	4	5	4	3	4	5	4	5	5	4	3	4	4	4	4	3	4	5	4	4	4	3	3	4	4
4	4	4	4	4	4	4	3	4	4	4	4	3	3	4	4	4	3	3	4	4	4	3	4	4	4	5	3	4	3	4	4	5	5	5	5	3	4	2	4	4	5	5	4
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	5	4	4	4	4	4	4	5	4	4	4	4	4	4	4	4	4	2	4	4	4	4	4
4	4	4	4	4	4	3	5	2	2	2	3	3	2	3	3	4	3	3	4	4	4	4	3	3	5	5	3	5	3	4	3	5	4	5	4	3	4	3	4	4	3	4	3
3	4	4	4	4	3	4	4	4	2	3	3	3	2	3	2	4	2	5	2	3	3	3	4	4	3	4	3	4	3	2	4	3	2	3	5	3	3	2	3	3	3	4	4
4	4	3	4	4	5	4	4	5	4	4	3	4	4	3	5	4	4	4	5	4	3	4	5	4	4	4	4	5	4	3	4	4	5	4	4	5	4	4	5	3	4	4	4
4	4	4	4	4	4	4	2	4	2	3	4	4	4	4	4	4	4	3	4	3	4	4	4	4	4	4	3	4	3	4	4	4	4	4	4	4	4	4	4	5	4	5	4
3	3	2	3	3	3	2	3	4	3	4	4	3	2	3	3	4	4	4	4	3	4	4	3	4	4	4	3	4	3	4	4	4	4	4	4	4	4	3	4	4	4	5	4
5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	3	4	3	4	4	4	4	3	5	5	4	3	NA	4	3	3	5
3	3	3	2	4	NA	1	5	NA	3	2	3	4	3	3	3	4	2	1	1	1	NA	2	2	3	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
3	3	3	2	2	2	3	4	3	3	1	3	3	3	3	3	3	3	4	3	1	2	2	2	2	3	2	1	1	4	2	2	2	2	2	2	2	2	2	1	1	2	2	2
3	3	3	3	4	4	4	4	3	4	4	3	4	3	4	4	4	4	3	4	4	4	3	4	4	3	4	3	4	5	2	3	3	4	3	4	3	3	3	3	4	4	3	4
4	4	2	4	4	4	5	5	5	5	4	5	2	4	4	4	4	4	5	5	5	4	4	4	4	4	4	5	4	4	4	4	4	4	5	5	4	4	4	NA	3	5	5	4
4	4	4	4	4	NA	3	2	3	4	3	2	3	4	5	3	2	3	2	3	NA	2	3	3	2	3	4	3	3	3	2	2	2	3	2	3	4	3	2	4	3	2	3	4
4	4	4	4	4	5	4	4	4	4	4	4	4	4	4	3	3	1	4	4	5	5	5	5	5	4	5	5	5	4	4	4	3	4	5	5	5	5	2	4	4	4	4	4
4	4	4	4	5	5	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	5	4	4	4	4	4	4	5	5	4	3	4	4	5	4	4
3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3
3	5	5	4	4	5	4	5	4	4	4	4	5	5	4	4	5	2	3	5	4	4	3	3	4	4	5	4	4	3	3	4	3	4	5	4	4	5	4	4	4	4	5	5
2	2	3	2	2	2	2	2	3	3	3	3	4	2	4	4	3	2	3	2	3	3	4	3	4	4	3	3	3	3	3	4	4	4	4	4	4	4	2	4	3	4	4	4
4	4	4	4	4	4	4	4	4	2	3	3	4	4	4	4	1	4	5	5	5	5	5	2	3	5	5	5	5	5	5	4	5	5	5	5	5	5	1	5	4	3	1	4
2	2	3	3	2	3	3	NA	2	4	4	3	3	3	3	3	2	2	2	2	3	3	3	3	3	4	4	3	3	3	3	4	4	4	4	4	4	4	4	3	3	4	4	4
3	3	3	3	3	3	3	3	3	3	4	4	2	3	4	4	4	4	3	4	5	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	3	4
2	2	3	2	1	2	1	4	2	1	1	2	2	3	3	2	2	2	2	2	4	5	4	3	3	4	3	4	4	2	3	1	1	3	2	2	4	4	4	3	3	4	3	4
4	4	5	4	3	3	4	4	4	4	5	4	3	3	4	3	3	3	2	4	3	4	3	3	4	2	5	5	5	4	3	2	2	4	5	5	4	4	3	4	3	3	4	4
5	5	4	4	4	4	4	4	4	2	3	3	4	4	4	4	3	3	4	4	5	5	5	5	5	4	5	3	5	5	5	5	5	4	5	5	5	5	2	5	5	4	4	5
4	4	4	5	3	4	4	4	3	3	2	3	4	3	3	4	4	4	4	4	3	4	5	3	3	4	4	4	4	4	3	4	4	3	4	5	4	3	4	4	5	5	4	4
4	4	4	4	2	4	3	1	2	1	2	2	4	2	3	4	3	3	5	4	3	3	4	4	4	2	5	3	4	3	4	3	5	5	4	5	3	4	5	5	3	4	4	4
4	3	4	3	4	4	3	4	3	4	4	4	4	4	4	4	2	2	4	3	3	4	3	3	3	2	4	3	4	4	4	2	2	4	4	4	4	4	3	3	4	3	4	4
4	4	3	4	3	4	3	3	4	3	4	3	3	3	4	4	4	4	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	5	3	4	4	4	4	4	4	4	3	4
3	4	3	4	4	3	3	4	NA	1	2	3	4	3	4	4	3	3	3	4	4	4	5	3	3	2	4	4	4	4	3	2	2	4	4	4	4	5	3	4	4	4	5	3
2	2	2	2	2	2	2	2	2	2	2	2	2	3	2	2	3	2	2	2	2	2	2	2	2	2	2	1	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2	2
4	4	4	4	4	4	4	3	4	3	3	4	4	3	4	3	3	3	4	4	4	4	4	4	4	3	4	4	4	4	4	4	4	4	5	5	5	5	4	5	4	4	4	5
4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	5	5	4	5	5	4	4	5	3	5	5	4	4	4	4	5	4	4	4	4	5	5	4	4	4
5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5
4	4	4	5	5	4	4	4	4	3	4	3	4	4	4	4	4	4	4	4	4	4	3	3	4	4	4	4	3	4	4	4	4	4	5	5	5	5	3	3	3	3	4	4
4	4	4	4	4	4	4	3	3	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	4	4	4	4	4	4	4	4	4
4	5	4	4	4	4	4	3	4	3	4	4	4	3	3	4	4	4	4	4	5	4	5	5	4	3	3	3	4	4	4	4	3	4	3	3	3	3	3	3	3	3	3	3
4	4	4	4	3	3	4	4	3	1	3	3	2	3	3	4	1	2	3	4	4	4	4	4	3	4	4	4	4	3	4	2	4	4	4	4	3	3	3	3	4	4	4	4
3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4
4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	4	4	4	5	5	4	5	5	4	4	5	3	5	5	4	4	4	4	5	4	4	4	4	5	5	4	4	4
2	1	2	1	1	1	1	2	1	1	1	2	1	1	1	2	3	1	3	1	1	1	4	3	2	4	4	1	4	2	2	3	4	2	4	3	3	4	1	2	1	1	3	3

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	24 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 24 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74595&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]24 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74595&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74595&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	24 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	0.66	221	42	0.68	185	37	0.67
2	0.65	219	42	0.68	184	36	0.67
3	0.51	187	48	0.59	159	45	0.56
4	0.79	245	29	0.79	205	26	0.77
5	0.59	207	46	0.64	171	41	0.61
6	0.65	218	42	0.68	182	38	0.65
7	0.52	191	48	0.6	161	38	0.62
8	0.41	183	73	0.43	146	62	0.4
9	0.52	188	46	0.61	160	41	0.59
10	-0.39	65	172	-0.45	60	133	-0.38
11	-0.02	96	101	-0.03	88	85	0.02
12	0.27	134	61	0.37	123	54	0.39
13	0.27	150	77	0.32	134	67	0.33
14	0.12	116	82	0.17	100	71	0.17
15	0.43	170	53	0.52	153	46	0.54
16	0.51	186	47	0.6	167	44	0.58
17	0.37	159	59	0.46	137	51	0.46
18	0.24	133	67	0.33	117	58	0.34
19	0.54	182	34	0.69	157	30	0.68
20	0.67	222	39	0.7	192	34	0.7
21	0.57	230	76	0.5	153	51	0.5
22	0.74	250	50	0.67	193	41	0.65
23	0.59	204	43	0.65	161	35	0.64
24	0.36	168	71	0.41	131	57	0.39
25	0.72	222	27	0.78	190	22	0.79
26	0.45	187	64	0.49	159	51	0.51
27	1.07	309	17	0.9	228	14	0.88
28	0.39	183	76	0.41	137	56	0.42
29	0.84	253	25	0.82	190	19	0.82
30	0.58	190	33	0.7	153	31	0.66
31	0.63	199	28	0.75	177	24	0.76
32	0.5	191	57	0.54	167	47	0.56
33	0.79	248	34	0.76	196	29	0.74
34	1	298	26	0.84	218	23	0.81
35	1.11	319	17	0.9	221	14	0.88
36	0.97	278	17	0.88	207	14	0.87
37	0.81	242	22	0.83	192	18	0.83
38	0.82	245	23	0.83	196	18	0.83
39	0.1	110	82	0.15	92	68	0.15
40	0.71	220	33	0.74	177	27	0.74
41	0.69	226	39	0.71	176	32	0.69
42	0.72	229	34	0.74	180	28	0.73
43	0.72	244	47	0.68	192	38	0.67
44	0.85	258	27	0.81	198	20	0.82

\begin{tabular}{lllllllll}
\hline
Summary of survey scores (median of Likert score was subtracted) \tabularnewline
Question & mean & Sum ofpositives (Ps) & Sum ofnegatives (Ns) & (Ps-Ns)/(Ps+Ns) & Count ofpositives (Pc) & Count ofnegatives (Nc) & (Pc-Nc)/(Pc+Nc) \tabularnewline
1 & 0.66 & 221 & 42 & 0.68 & 185 & 37 & 0.67 \tabularnewline
2 & 0.65 & 219 & 42 & 0.68 & 184 & 36 & 0.67 \tabularnewline
3 & 0.51 & 187 & 48 & 0.59 & 159 & 45 & 0.56 \tabularnewline
4 & 0.79 & 245 & 29 & 0.79 & 205 & 26 & 0.77 \tabularnewline
5 & 0.59 & 207 & 46 & 0.64 & 171 & 41 & 0.61 \tabularnewline
6 & 0.65 & 218 & 42 & 0.68 & 182 & 38 & 0.65 \tabularnewline
7 & 0.52 & 191 & 48 & 0.6 & 161 & 38 & 0.62 \tabularnewline
8 & 0.41 & 183 & 73 & 0.43 & 146 & 62 & 0.4 \tabularnewline
9 & 0.52 & 188 & 46 & 0.61 & 160 & 41 & 0.59 \tabularnewline
10 & -0.39 & 65 & 172 & -0.45 & 60 & 133 & -0.38 \tabularnewline
11 & -0.02 & 96 & 101 & -0.03 & 88 & 85 & 0.02 \tabularnewline
12 & 0.27 & 134 & 61 & 0.37 & 123 & 54 & 0.39 \tabularnewline
13 & 0.27 & 150 & 77 & 0.32 & 134 & 67 & 0.33 \tabularnewline
14 & 0.12 & 116 & 82 & 0.17 & 100 & 71 & 0.17 \tabularnewline
15 & 0.43 & 170 & 53 & 0.52 & 153 & 46 & 0.54 \tabularnewline
16 & 0.51 & 186 & 47 & 0.6 & 167 & 44 & 0.58 \tabularnewline
17 & 0.37 & 159 & 59 & 0.46 & 137 & 51 & 0.46 \tabularnewline
18 & 0.24 & 133 & 67 & 0.33 & 117 & 58 & 0.34 \tabularnewline
19 & 0.54 & 182 & 34 & 0.69 & 157 & 30 & 0.68 \tabularnewline
20 & 0.67 & 222 & 39 & 0.7 & 192 & 34 & 0.7 \tabularnewline
21 & 0.57 & 230 & 76 & 0.5 & 153 & 51 & 0.5 \tabularnewline
22 & 0.74 & 250 & 50 & 0.67 & 193 & 41 & 0.65 \tabularnewline
23 & 0.59 & 204 & 43 & 0.65 & 161 & 35 & 0.64 \tabularnewline
24 & 0.36 & 168 & 71 & 0.41 & 131 & 57 & 0.39 \tabularnewline
25 & 0.72 & 222 & 27 & 0.78 & 190 & 22 & 0.79 \tabularnewline
26 & 0.45 & 187 & 64 & 0.49 & 159 & 51 & 0.51 \tabularnewline
27 & 1.07 & 309 & 17 & 0.9 & 228 & 14 & 0.88 \tabularnewline
28 & 0.39 & 183 & 76 & 0.41 & 137 & 56 & 0.42 \tabularnewline
29 & 0.84 & 253 & 25 & 0.82 & 190 & 19 & 0.82 \tabularnewline
30 & 0.58 & 190 & 33 & 0.7 & 153 & 31 & 0.66 \tabularnewline
31 & 0.63 & 199 & 28 & 0.75 & 177 & 24 & 0.76 \tabularnewline
32 & 0.5 & 191 & 57 & 0.54 & 167 & 47 & 0.56 \tabularnewline
33 & 0.79 & 248 & 34 & 0.76 & 196 & 29 & 0.74 \tabularnewline
34 & 1 & 298 & 26 & 0.84 & 218 & 23 & 0.81 \tabularnewline
35 & 1.11 & 319 & 17 & 0.9 & 221 & 14 & 0.88 \tabularnewline
36 & 0.97 & 278 & 17 & 0.88 & 207 & 14 & 0.87 \tabularnewline
37 & 0.81 & 242 & 22 & 0.83 & 192 & 18 & 0.83 \tabularnewline
38 & 0.82 & 245 & 23 & 0.83 & 196 & 18 & 0.83 \tabularnewline
39 & 0.1 & 110 & 82 & 0.15 & 92 & 68 & 0.15 \tabularnewline
40 & 0.71 & 220 & 33 & 0.74 & 177 & 27 & 0.74 \tabularnewline
41 & 0.69 & 226 & 39 & 0.71 & 176 & 32 & 0.69 \tabularnewline
42 & 0.72 & 229 & 34 & 0.74 & 180 & 28 & 0.73 \tabularnewline
43 & 0.72 & 244 & 47 & 0.68 & 192 & 38 & 0.67 \tabularnewline
44 & 0.85 & 258 & 27 & 0.81 & 198 & 20 & 0.82 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74595&T=1

[TABLE]
[ROW][C]Summary of survey scores (median of Likert score was subtracted)[/C][/ROW]
[ROW][C]Question[/C][C]mean[/C][C]Sum ofpositives (Ps)[/C][C]Sum ofnegatives (Ns)[/C][C](Ps-Ns)/(Ps+Ns)[/C][C]Count ofpositives (Pc)[/C][C]Count ofnegatives (Nc)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]1[/C][C]0.66[/C][C]221[/C][C]42[/C][C]0.68[/C][C]185[/C][C]37[/C][C]0.67[/C][/ROW]
[ROW][C]2[/C][C]0.65[/C][C]219[/C][C]42[/C][C]0.68[/C][C]184[/C][C]36[/C][C]0.67[/C][/ROW]
[ROW][C]3[/C][C]0.51[/C][C]187[/C][C]48[/C][C]0.59[/C][C]159[/C][C]45[/C][C]0.56[/C][/ROW]
[ROW][C]4[/C][C]0.79[/C][C]245[/C][C]29[/C][C]0.79[/C][C]205[/C][C]26[/C][C]0.77[/C][/ROW]
[ROW][C]5[/C][C]0.59[/C][C]207[/C][C]46[/C][C]0.64[/C][C]171[/C][C]41[/C][C]0.61[/C][/ROW]
[ROW][C]6[/C][C]0.65[/C][C]218[/C][C]42[/C][C]0.68[/C][C]182[/C][C]38[/C][C]0.65[/C][/ROW]
[ROW][C]7[/C][C]0.52[/C][C]191[/C][C]48[/C][C]0.6[/C][C]161[/C][C]38[/C][C]0.62[/C][/ROW]
[ROW][C]8[/C][C]0.41[/C][C]183[/C][C]73[/C][C]0.43[/C][C]146[/C][C]62[/C][C]0.4[/C][/ROW]
[ROW][C]9[/C][C]0.52[/C][C]188[/C][C]46[/C][C]0.61[/C][C]160[/C][C]41[/C][C]0.59[/C][/ROW]
[ROW][C]10[/C][C]-0.39[/C][C]65[/C][C]172[/C][C]-0.45[/C][C]60[/C][C]133[/C][C]-0.38[/C][/ROW]
[ROW][C]11[/C][C]-0.02[/C][C]96[/C][C]101[/C][C]-0.03[/C][C]88[/C][C]85[/C][C]0.02[/C][/ROW]
[ROW][C]12[/C][C]0.27[/C][C]134[/C][C]61[/C][C]0.37[/C][C]123[/C][C]54[/C][C]0.39[/C][/ROW]
[ROW][C]13[/C][C]0.27[/C][C]150[/C][C]77[/C][C]0.32[/C][C]134[/C][C]67[/C][C]0.33[/C][/ROW]
[ROW][C]14[/C][C]0.12[/C][C]116[/C][C]82[/C][C]0.17[/C][C]100[/C][C]71[/C][C]0.17[/C][/ROW]
[ROW][C]15[/C][C]0.43[/C][C]170[/C][C]53[/C][C]0.52[/C][C]153[/C][C]46[/C][C]0.54[/C][/ROW]
[ROW][C]16[/C][C]0.51[/C][C]186[/C][C]47[/C][C]0.6[/C][C]167[/C][C]44[/C][C]0.58[/C][/ROW]
[ROW][C]17[/C][C]0.37[/C][C]159[/C][C]59[/C][C]0.46[/C][C]137[/C][C]51[/C][C]0.46[/C][/ROW]
[ROW][C]18[/C][C]0.24[/C][C]133[/C][C]67[/C][C]0.33[/C][C]117[/C][C]58[/C][C]0.34[/C][/ROW]
[ROW][C]19[/C][C]0.54[/C][C]182[/C][C]34[/C][C]0.69[/C][C]157[/C][C]30[/C][C]0.68[/C][/ROW]
[ROW][C]20[/C][C]0.67[/C][C]222[/C][C]39[/C][C]0.7[/C][C]192[/C][C]34[/C][C]0.7[/C][/ROW]
[ROW][C]21[/C][C]0.57[/C][C]230[/C][C]76[/C][C]0.5[/C][C]153[/C][C]51[/C][C]0.5[/C][/ROW]
[ROW][C]22[/C][C]0.74[/C][C]250[/C][C]50[/C][C]0.67[/C][C]193[/C][C]41[/C][C]0.65[/C][/ROW]
[ROW][C]23[/C][C]0.59[/C][C]204[/C][C]43[/C][C]0.65[/C][C]161[/C][C]35[/C][C]0.64[/C][/ROW]
[ROW][C]24[/C][C]0.36[/C][C]168[/C][C]71[/C][C]0.41[/C][C]131[/C][C]57[/C][C]0.39[/C][/ROW]
[ROW][C]25[/C][C]0.72[/C][C]222[/C][C]27[/C][C]0.78[/C][C]190[/C][C]22[/C][C]0.79[/C][/ROW]
[ROW][C]26[/C][C]0.45[/C][C]187[/C][C]64[/C][C]0.49[/C][C]159[/C][C]51[/C][C]0.51[/C][/ROW]
[ROW][C]27[/C][C]1.07[/C][C]309[/C][C]17[/C][C]0.9[/C][C]228[/C][C]14[/C][C]0.88[/C][/ROW]
[ROW][C]28[/C][C]0.39[/C][C]183[/C][C]76[/C][C]0.41[/C][C]137[/C][C]56[/C][C]0.42[/C][/ROW]
[ROW][C]29[/C][C]0.84[/C][C]253[/C][C]25[/C][C]0.82[/C][C]190[/C][C]19[/C][C]0.82[/C][/ROW]
[ROW][C]30[/C][C]0.58[/C][C]190[/C][C]33[/C][C]0.7[/C][C]153[/C][C]31[/C][C]0.66[/C][/ROW]
[ROW][C]31[/C][C]0.63[/C][C]199[/C][C]28[/C][C]0.75[/C][C]177[/C][C]24[/C][C]0.76[/C][/ROW]
[ROW][C]32[/C][C]0.5[/C][C]191[/C][C]57[/C][C]0.54[/C][C]167[/C][C]47[/C][C]0.56[/C][/ROW]
[ROW][C]33[/C][C]0.79[/C][C]248[/C][C]34[/C][C]0.76[/C][C]196[/C][C]29[/C][C]0.74[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]298[/C][C]26[/C][C]0.84[/C][C]218[/C][C]23[/C][C]0.81[/C][/ROW]
[ROW][C]35[/C][C]1.11[/C][C]319[/C][C]17[/C][C]0.9[/C][C]221[/C][C]14[/C][C]0.88[/C][/ROW]
[ROW][C]36[/C][C]0.97[/C][C]278[/C][C]17[/C][C]0.88[/C][C]207[/C][C]14[/C][C]0.87[/C][/ROW]
[ROW][C]37[/C][C]0.81[/C][C]242[/C][C]22[/C][C]0.83[/C][C]192[/C][C]18[/C][C]0.83[/C][/ROW]
[ROW][C]38[/C][C]0.82[/C][C]245[/C][C]23[/C][C]0.83[/C][C]196[/C][C]18[/C][C]0.83[/C][/ROW]
[ROW][C]39[/C][C]0.1[/C][C]110[/C][C]82[/C][C]0.15[/C][C]92[/C][C]68[/C][C]0.15[/C][/ROW]
[ROW][C]40[/C][C]0.71[/C][C]220[/C][C]33[/C][C]0.74[/C][C]177[/C][C]27[/C][C]0.74[/C][/ROW]
[ROW][C]41[/C][C]0.69[/C][C]226[/C][C]39[/C][C]0.71[/C][C]176[/C][C]32[/C][C]0.69[/C][/ROW]
[ROW][C]42[/C][C]0.72[/C][C]229[/C][C]34[/C][C]0.74[/C][C]180[/C][C]28[/C][C]0.73[/C][/ROW]
[ROW][C]43[/C][C]0.72[/C][C]244[/C][C]47[/C][C]0.68[/C][C]192[/C][C]38[/C][C]0.67[/C][/ROW]
[ROW][C]44[/C][C]0.85[/C][C]258[/C][C]27[/C][C]0.81[/C][C]198[/C][C]20[/C][C]0.82[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74595&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74595&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of survey scores (median of Likert score was subtracted)
Question	mean	Sum ofpositives (Ps)	Sum ofnegatives (Ns)	(Ps-Ns)/(Ps+Ns)	Count ofpositives (Pc)	Count ofnegatives (Nc)	(Pc-Nc)/(Pc+Nc)
1	0.66	221	42	0.68	185	37	0.67
2	0.65	219	42	0.68	184	36	0.67
3	0.51	187	48	0.59	159	45	0.56
4	0.79	245	29	0.79	205	26	0.77
5	0.59	207	46	0.64	171	41	0.61
6	0.65	218	42	0.68	182	38	0.65
7	0.52	191	48	0.6	161	38	0.62
8	0.41	183	73	0.43	146	62	0.4
9	0.52	188	46	0.61	160	41	0.59
10	-0.39	65	172	-0.45	60	133	-0.38
11	-0.02	96	101	-0.03	88	85	0.02
12	0.27	134	61	0.37	123	54	0.39
13	0.27	150	77	0.32	134	67	0.33
14	0.12	116	82	0.17	100	71	0.17
15	0.43	170	53	0.52	153	46	0.54
16	0.51	186	47	0.6	167	44	0.58
17	0.37	159	59	0.46	137	51	0.46
18	0.24	133	67	0.33	117	58	0.34
19	0.54	182	34	0.69	157	30	0.68
20	0.67	222	39	0.7	192	34	0.7
21	0.57	230	76	0.5	153	51	0.5
22	0.74	250	50	0.67	193	41	0.65
23	0.59	204	43	0.65	161	35	0.64
24	0.36	168	71	0.41	131	57	0.39
25	0.72	222	27	0.78	190	22	0.79
26	0.45	187	64	0.49	159	51	0.51
27	1.07	309	17	0.9	228	14	0.88
28	0.39	183	76	0.41	137	56	0.42
29	0.84	253	25	0.82	190	19	0.82
30	0.58	190	33	0.7	153	31	0.66
31	0.63	199	28	0.75	177	24	0.76
32	0.5	191	57	0.54	167	47	0.56
33	0.79	248	34	0.76	196	29	0.74
34	1	298	26	0.84	218	23	0.81
35	1.11	319	17	0.9	221	14	0.88
36	0.97	278	17	0.88	207	14	0.87
37	0.81	242	22	0.83	192	18	0.83
38	0.82	245	23	0.83	196	18	0.83
39	0.1	110	82	0.15	92	68	0.15
40	0.71	220	33	0.74	177	27	0.74
41	0.69	226	39	0.71	176	32	0.69
42	0.72	229	34	0.74	180	28	0.73
43	0.72	244	47	0.68	192	38	0.67
44	0.85	258	27	0.81	198	20	0.82

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.966 (0)	0.965 (0)
(Ps-Ns)/(Ps+Ns)	0.966 (0)	1 (0)	0.998 (0)
(Pc-Nc)/(Pc+Nc)	0.965 (0)	0.998 (0)	1 (0)

\begin{tabular}{lllllllll}
\hline
Pearson correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.966 (0) & 0.965 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.966 (0) & 1 (0) & 0.998 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.965 (0) & 0.998 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74595&T=2

[TABLE]
[ROW][C]Pearson correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.966 (0)[/C][C]0.965 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.966 (0)[/C][C]1 (0)[/C][C]0.998 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.965 (0)[/C][C]0.998 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74595&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74595&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Pearson correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.966 (0)	0.965 (0)
(Ps-Ns)/(Ps+Ns)	0.966 (0)	1 (0)	0.998 (0)
(Pc-Nc)/(Pc+Nc)	0.965 (0)	0.998 (0)	1 (0)

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.877 (0)	0.862 (0)
(Ps-Ns)/(Ps+Ns)	0.877 (0)	1 (0)	0.961 (0)
(Pc-Nc)/(Pc+Nc)	0.862 (0)	0.961 (0)	1 (0)

\begin{tabular}{lllllllll}
\hline
Kendall tau rank correlations of survey scores (and p-values) \tabularnewline
 & mean & (Ps-Ns)/(Ps+Ns) & (Pc-Nc)/(Pc+Nc) \tabularnewline
mean & 1 (0) & 0.877 (0) & 0.862 (0) \tabularnewline
(Ps-Ns)/(Ps+Ns) & 0.877 (0) & 1 (0) & 0.961 (0) \tabularnewline
(Pc-Nc)/(Pc+Nc) & 0.862 (0) & 0.961 (0) & 1 (0) \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=74595&T=3

[TABLE]
[ROW][C]Kendall tau rank correlations of survey scores (and p-values)[/C][/ROW]
[ROW][C][/C][C]mean[/C][C](Ps-Ns)/(Ps+Ns)[/C][C](Pc-Nc)/(Pc+Nc)[/C][/ROW]
[ROW][C]mean[/C][C]1 (0)[/C][C]0.877 (0)[/C][C]0.862 (0)[/C][/ROW]
[ROW][C](Ps-Ns)/(Ps+Ns)[/C][C]0.877 (0)[/C][C]1 (0)[/C][C]0.961 (0)[/C][/ROW]
[ROW][C](Pc-Nc)/(Pc+Nc)[/C][C]0.862 (0)[/C][C]0.961 (0)[/C][C]1 (0)[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=74595&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=74595&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Kendall tau rank correlations of survey scores (and p-values)
	mean	(Ps-Ns)/(Ps+Ns)	(Pc-Nc)/(Pc+Nc)
mean	1 (0)	0.877 (0)	0.862 (0)
(Ps-Ns)/(Ps+Ns)	0.877 (0)	1 (0)	0.961 (0)
(Pc-Nc)/(Pc+Nc)	0.862 (0)	0.961 (0)	1 (0)

Parameters (Session):

par1 = 1 2 3 4 5 ;

Parameters (R input):

par1 = 1 2 3 4 5 ;

R code (references can be found in the software module):

docor <- function(x,y,method) {
r <- cor.test(x,y,method=method)
paste(round(r$estimate,3),' (',round(r$p.value,3),')',sep='')
}
x <- t(x)
nx <- length(x[,1])
cx <- length(x[1,])
mymedian <- median(as.numeric(strsplit(par1,' ')[[1]]))
myresult <- array(NA, dim = c(cx,7))
rownames(myresult) <- paste('Q',1:cx,sep='')
colnames(myresult) <- c('mean','Sum of
positives (Ps)','Sum of
negatives (Ns)', '(Ps-Ns)/(Ps+Ns)', 'Count of
positives (Pc)', 'Count of
negatives (Nc)', '(Pc-Nc)/(Pc+Nc)')
for (i in 1:cx) {
spos <- 0
sneg <- 0
cpos <- 0
cneg <- 0
for (j in 1:nx) {
if (!is.na(x[j,i])) {
myx <- as.numeric(x[j,i]) - mymedian
if (myx > 0) {
spos = spos + myx
cpos = cpos + 1
}
if (myx < 0) {
sneg = sneg + abs(myx)
cneg = cneg + 1
}
}
}
myresult[i,1] <- round(mean(as.numeric(x[,i]),na.rm=T)-mymedian,2)
myresult[i,2] <- spos
myresult[i,3] <- sneg
myresult[i,4] <- round((spos - sneg) / (spos + sneg),2)
myresult[i,5] <- cpos
myresult[i,6] <- cneg
myresult[i,7] <- round((cpos - cneg) / (cpos + cneg),2)
}
myresult
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of survey scores (median of Likert score was subtracted)',8,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Question',header=TRUE)
for (i in 1:7) {
a<-table.element(a,colnames(myresult)[i],header=TRUE)
}
a<-table.row.end(a)
for (i in 1:cx) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
for (j in 1:7) {
a<-table.element(a,myresult[i,j],align='right')
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Pearson correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='pearson'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='pearson'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Kendall tau rank correlations of survey scores (and p-values)',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'',header=TRUE)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'mean',header=TRUE)
a<-table.element(a,docor(myresult[,1],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,1],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Ps-Ns)/(Ps+Ns)',header=TRUE)
a<-table.element(a,docor(myresult[,4],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,4],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'(Pc-Nc)/(Pc+Nc)',header=TRUE)
a<-table.element(a,docor(myresult[,7],myresult[,1],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,4],method='kendall'),align='right')
a<-table.element(a,docor(myresult[,7],myresult[,7],method='kendall'),align='right')
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code