Suppose a random sample of 20 students were given a diagnostic test before studying a particular module and then again after completing the module. Is there sufficient evidence that the teaching method was effective (i.e. are their post-test scores higher on average than their pre-test scores)? What is the pvalue and the results of the test? Paired t-test data: post and pre t = 2.045, df = 19, p-value = 0.02748 alternative hypothesis: true difference in means is greater than 0 95 percent confidence interval: 0.5032675 Inf sample estimates: mean of the differences 3.258108
Suppose a random sample of 20 students were given a diagnostic test before studying a particular module and then again after completing the module. Is there sufficient evidence that the teaching method was effective (i.e. are their post-test scores higher on average than their pre-test scores)?
What is the pvalue and the results of the test?
Paired t-test
data: post and pre
t = 2.045, df = 19, p-value = 0.02748
alternative hypothesis: true difference in means is greater than 0
95 percent confidence interval:
0.5032675 Inf
sample estimates:
mean of the differences
3.258108
A. 0.02748<=alpha(0.05) therefore H0 is rejected
B. 3.258108<=alpha(0.05) therefore H0 is not rejected
C. 19 is not <=alpha(0.05) therefore H0 is not rejected
D. 0<=alpha(0.05) therefore H0 is rejected
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