Assume the following information for equalsized samples and

Assume the following information for equal-sized samples and make the appropriate t tests

15

determine the probability of the t test results and decide whether you would accept of reject the hypothesis of no difference between two groups in each case

Assume the following information for unequal-sized samples and make the appropriate t tests

determine the probability of the t test results and decide whether you would accept of reject the hypothesis of no difference between two groups in each case

Assume the following information for equal-sized samples and make the appropriate t tests

Group 1 ?= 25 Group 2 ?= 23
?^2= 27.8 ?^2= 27.8
n= 15 n=

15

determine the probability of the t test results and decide whether you would accept of reject the hypothesis of no difference between two groups in each case

Solution

Let mu1 be the mean for group 1

Let mu2 be the mean for group 2

The test hypothesis:

Ho: mu1=mu2 (i.e. null hypothesis)

Ha: mu1 not equal to mu2 (i.e. alternative hypothesis)

The test statistic is

t=(xbar1-xbar2)/sqrt(s1^2/n1+s2^2/n2)

=(25-23)/sqrt(27.8^2/15+27.8^2/15)

=0.197

It is a two-tailed test.

The degree of freedom =n1+n2-2=15+15-2=28

The p-value= P(t with df=28 >0.197) =0.4226 (from student t table)

Assume that the significant level a=0.05

Since the p-value is larger than 0.05, we do not reject Ho.

We would not accept of reject the hypothesis of no difference between two groups in each case

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The test statistic is

t=(25-23)/sqrt(27.8^2/30+27.8^2/15)

=0.228

The degree of freedom =n1+n2-2=30+15-2=43

The p-value= P(t with df=43 >0.228) =0.4104 (from student t table)

Since the p-value is larger than 0.05, we do not reject Ho.

We would not accept of reject the hypothesis of no difference between two groups in each case

Assume the following information for equal-sized samples and make the appropriate t tests 15 determine the probability of the t test results and decide whether
Assume the following information for equal-sized samples and make the appropriate t tests 15 determine the probability of the t test results and decide whether

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