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10. The SPSS output (results) of an independent t-test presents all the followin

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Question


10. The SPSS output (results) of an independent t-test presents all the following EXCEPT: A. The Pearson r correlation coefficient B. Standard Deviation of the groups C. Means of the groups D. Alpha level presented as a two-tailed test of significance 11. In the SPSS output of an independent t-test in which the mean scores of two groups: 14 girls and 16 boys were compared, what number would be presented as the df? A. 30 B. 29 C. 28 D. Not enough information to determine 12. When comparing group differences where no direction of the difference is specified, which one of the following is used? A. Two-tailed test B. One-tailed test C. Directional hypothesis D. Critical value 13. In order to determine whether or not you will reject the null hypothesis, the test statistic (t-value or F-ratio) must be compared against the A. Obtained value B. Significance level C. df D. Critical Value

Explanation / Answer

10. The SPSS Output (results) of an independent t-test presents all the following EXCEPT:

A. The person r correlation coefficient

B. Standard Deviation of the groups

C. Means of the groups

D. Alpha level presented as a two-tailed test of significance

Ans: The option A is correct.

The SPSS Output (results) of an independent t-test presents the Standard Deviation of the groups, Means of the groups and Alpha level presented as a two-tailed test of significance EXCEPT the person r correlation coefficient.

Because in independent t-test we are interested two compare means of two independent samples. So, there is no need to check correlation that’s why SPSS does not represent the person correlation output.

11. In the SPSS output of an independent t-test in which the mean scores of two groups: 14 girls and 16 boys were compared, what number would be presented as the df?

A. 30

B. 29

C. 28

D. Not enough information to determine.

Ans: The option C is correct.

We have given n1=14 and n2=16.

And df formula is df=n1+n2-2

df=14+16-2

df=28

12. When comparing group differences where no direction of the difference is specified, which one of the following is used?

A. Two-tailed test

B. One-tailed test

C. Directional hypothesis

D. Critical value

Ans: The option A is correct.

Because if there not given direction we could use Two-tailed test.

13. In order to determine whether or not you will reject the null hypothesis, the test statistic (t-value or F-ratio) must be compared against the

A. Obtained value

B. Significance Level

C. df

D. Critical Value

Ans: The option B is correct

Because we set a significance level (alpha usually we take 0.05) to accept or reject the null hypothesis, according to that we will consider whether or not you will reject the null hypothesis.

13. If the obtained value you generated is greater than the critical value (as presented in a table of critical values), what should you do?

A. Reject the null hypothesis

B. Accept the null hypothesis

C. Set a higher p-value

D. Increase the sample size.

Ans: The option B is correct

If the generated value is greater than the critical value means we could not tolerate more error than the predefined fixed value. So we fail to reject null hypothesis, means accept the null hypothesis.

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