| Statistical Hypothesis Tests |
> t1
Welch Two Sample t-test
data: z[z$Year == 0, "WSTOT"] and z[z$Year == 1, "WSTOT"]
t = -0.2128, df = 378.371, p-value = 0.8316
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-51.53062 41.46391
sample estimates:
mean of x mean of y
554.6824 559.7157
|
> w1
Asymptotic Wilcoxon Mann-Whitney Rank Sum Test
data: z$WSTOT by as.factor(z$Year) (0, 1)
Z = -0.3289, p-value = 0.7423
alternative hypothesis: true mu is not equal to 0
|
> t2
Welch Two Sample t-test
data: z[z$Year == 0, "Relevance"] and z[z$Year == 1, "Relevance"]
t = -0.3483, df = 410.06, p-value = 0.7278
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.9854203 0.6888020
sample estimates:
mean of x mean of y
30.61836 30.76667
|
> w2
Asymptotic Wilcoxon Mann-Whitney Rank Sum Test
data: z$Relevance by as.factor(z$Year) (0, 1)
Z = 0.1173, p-value = 0.9066
alternative hypothesis: true mu is not equal to 0
|
> t3
Welch Two Sample t-test
data: z[z$Year == 0, "CriticalThinking"] and z[z$Year == 1, "CriticalThinking"]
t = 1.2576, df = 411.987, p-value = 0.2092
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.3134206 1.4267401
sample estimates:
mean of x mean of y
30.63285 30.07619
|
> w3
Asymptotic Wilcoxon Mann-Whitney Rank Sum Test
data: z$CriticalThinking by as.factor(z$Year) (0, 1)
Z = 1.1916, p-value = 0.2334
alternative hypothesis: true mu is not equal to 0
|
> t4
Welch Two Sample t-test
data: z[z$Year == 0, "CognitiveDemand"] and z[z$Year == 1, "CognitiveDemand"]
t = 0.9616, df = 413.381, p-value = 0.3368
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
-0.4468054 1.3025680
sample estimates:
mean of x mean of y
31.61836 31.19048
|
> w4
Asymptotic Wilcoxon Mann-Whitney Rank Sum Test
data: z$CognitiveDemand by as.factor(z$Year) (0, 1)
Z = 0.6577, p-value = 0.5107
alternative hypothesis: true mu is not equal to 0
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