T-Test ndep.namp-t-test output2 936x422 pixnis Group Statistics Std Error Sex Ma
ID: 3317073 • Letter: T
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T-Test ndep.namp-t-test output2 936x422 pixnis Group Statistics Std Error Sex Male Female Mean Std. Deviation Mean 13.116 15.313 Pre-Exercise Math Stress 12 140.56 12 125.6 3.786 4 420 Independent Samples Test Levene's Test for Equality of Variances -test for Equality of Means 95% Confidence Interval of the Difference Mean Std. Error (2 tailed)- Diference LLowe Upper Difference 018 14.918 14.918 Si df re-Exercise Math Stress Equal variances 604 445 2 563 5 820 2.847 26 988 assumed Equal variances not assumed 2.563 21.493 018 5.820 2.830 27.005 If you have trouble viewing the results above, go to this link to see the original. Look at the t test results above. The researchers wanted to see if there was a difference between males and females in before they took a stressful math test. 1) What was the independent variable? 2) What was the dependent variable? 3) Should they look at Equal Variances Assumed or Equal Variances Not Assumed? Explain why thint: the Levene's test) 4) Should they reject the null hypothesis for the t test? Explain why or why not using the p value 5) Write the results in APA format. their systolic blood pressure measur ed ging C0 @ Air9.0 0 2.;; %,Explanation / Answer
We have given output for the two sample t test .
Data was related to male and female for blood pressure .
In this study , sex ( male and female ) was independent variable .
And blood pressure was dependent variable .
From above output , p value for F test is 0.445 ,
If we have not given significance level then consider it as 0.05
If p value < significance level then we reject the null hypothesis
If p value > significance level , then we fail to reject the null hypothesis .
Here 0.445 > 0.05 , so we fail to reject the null hypothesis .
That is we have to consider variances are equal .
For two sample t test , for equal variances , p value = 0.018 .
Again we have to compare this p value with significance level .
0.018 < 0.05 , that is we have ti reject the null hypothesis .
That is there is difference between the mean of blood pressure of men and women .
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