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Question 6On 10 days during the month, a group of participants rated their feelings of anxiety immediately following a 30-minute session with a counselor. On 10 other days during the same month, the same group of participants rated their feelings of anxiety immediately following a brisk 30-minute walk. The mean difference in anxiety ratings between the counselor and walk conditions could be analyzed with a1 pointindependent-samples t-test.one-way between-groups ANOVA.paired-samples t-test.one-sample t-test.

Question

Question 6On 10 days during the month, a group of participants rated their feelings of anxiety immediately following a 30-minute session with a counselor. On 10 other days during the same month, the same group of participants rated their feelings of anxiety immediately following a brisk 30-minute walk. The mean difference in anxiety ratings between the counselor and walk conditions could be analyzed with a1 pointindependent-samples t-test.one-way between-groups ANOVA.paired-samples t-test.one-sample t-test.

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Solution

The correct answer is a paired-samples t-test.

Here's why:

  1. The same group of participants is used in both conditions (counselor and walk). This means that the two sets of scores are not independent, but are related or 'paired'.

  2. The aim is to compare the mean difference in anxiety ratings between the two conditions. This is exactly what a paired-samples t-test is designed to do.

  3. An independent-samples t-test would be used if there were two different groups of participants (one group that only had the counseling and another group that only had the walk).

  4. A one-way between-groups ANOVA would be used if there were more than two conditions or groups.

  5. A one-sample t-test would be used if there was only one group/condition and you wanted to compare the mean of this group to a known value or theoretical expectation.

So, based on the information given, a paired-samples t-test is the most appropriate statistical test to use.

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