In: Statistics and Probability
A study was designed to compare the attitudes of two groups of nursing students towards computers. Group 1 had previously taken a statistical methods course that involved significant computer interaction. Group 2 had taken a statistic methods course that did not use computers. The students' attitudes were measured by administering the Computer Anxiety Rating Scale (CARS). A random sample of 12 nursing students from Group 1 resulted in a mean score of 47.5 with a standard deviation of 7.8 . A random sample of 15 nursing students from Group 2 resulted in a mean score of 54.7 with a standard deviation of 5.4 . Can you conclude that the mean score for Group 1 is significantly lower than the mean score for Group 2? Let μ1 represent the mean score for Group 1 and μ 2 represent the mean score for Group 2. Use a significance level of α=0.1 for the test. Assume that the population variances are equal and that the two populations are normally distributed.
Step 2 of 4 :
Compute the value of the t test statistic. Round your answer to three decimal places.
The hypotheses are:
Rejection region:
Reject Ho if Tobs<-t0.1,25=-1.317, since degree of freedom =n1+n2-2=12+15-2=25
Test statistic:
t=-2.83
P- value:
P-value calculated using t value and degree offreedom as
0.0045< P-value<0.005
Conclusion:
since t obs =-2.83< -t0.1, 25=-1.317 and p value is less than 0.1 , we reject the null hypothesis and conclude that we havw enough evidence to suuport the claim.
The p-value and t0.1,25 are calculated using the table shown below: