CHAPTER 11
t(ea) for Two (Again): Tests Between the Means of Related Groups
Part I. Multiple-Choice Questions (20 items)
- Examining one group of subjects under two different conditions would require what statistical technique?
- Regression
- t test for dependent samples
- Analysis of variance
- t test for independent samples
Ans: d
- When comparing two groups the term independent explains that:
- One group is compared to other similar groups
- One group is compared to dissimilar groups
- Two groups are related
- Two groups are not related in any way
Ans: d
- In the formula that computes a t value, what does nSD represent?
- Sum of the difference between groups
- Sum of the means for Group 1
- Sum of the means for Group 2
- Sum of the differences squared
Ans: b
- In a t test for dependent samples that examine the difference between a pretest and posttest, what type of hypothesis is used?
- Nondirectional
- Directional
- Null
- Research
Ans: c
- In order to be 99% confident you have not committed a Type I error, at what level should you set your p value?
- .01
- .10
- .05
- .15
Ans: d
- In order to compute the test statistic or t value, you must first approximate the sample size through calculating which of the following?
- Pooled variance
- Standard deviation
- Degrees of freedom
- Mean score
Ans: c
- What is the test statistic calculated by the statistical procedure selected known as?
- Critical value
- Significance level
- Obtained value
- p value
Ans: c
- To determine whether you will reject the null hypothesis, the test statistic must be compared against the:
- Critical value
- Significance level
- Obtained value
- p value
Ans: b
- If the obtained value is greater than the critical value, what should you do?
- Reject the null hypothesis
- Accept the null hypothesis
- Set a higher p value
- Increase your sample
Ans: a
- If the obtained value is less than the critical value, what should you do?
- Reject the null hypothesis
- Accept the null hypothesis
- Reduce the p value
- Decrease your sample
Ans: c
- What is the formula used to calculate degrees of freedom for a t test for dependent groups?
- n1 – 1
- n1 + n2 – 1
- n1 – 1 + n2
- n1 + n2
Ans: a
Reviews
There are no reviews yet.