Researchers measured the mood of 12 participants before and after watching a funny video clip. Higher values on the scale indicate a happier mood. The mean of the difference scores = 0.51, with a standard deviation of 1.24. Did mood change after watching the clip? STEP 1. Identify the variable, names of the groups being compared, and numerical information provided. • Variable: • Population/condition of interest: • Comparison population/condition: STEP 2. State the research and null hypotheses in words and symbols • Research: • Null: STEP 3. Characteristics of the comparison distribution. Identify/calculate the mean and standard deviation of the comparison distribution. Label the distribution. STEP 4. Identify the critical value(s) for this test, label it (them) on the distribution, shade the rejection region(s). STEP 5. (a.) Calculate the test statistic, mark and label it on the comparison distribution. (b.) Use a Quick P-Value calculator (c.) Calculate effect size. STEP 6. State the hypothesis-testing conclusion, in words in terms of this test, including effect size if the test result is statistically significant. STEP 7. IF the hypothesis-testing result is an error, what type of error is it - Type I or Type II? Explain what this error would be in words in terms of this test of hypothesis. STEP 8. Calculate a 95% confidence interval. Show the formulas, the numbers plugged in, and final answers. Interpret your confidence interval
Researchers measured the mood of 12 participants before and after watching a funny video clip. Higher values
on the scale indicate a happier mood. The mean of the difference scores = 0.51, with a standard deviation of 1.24.
Did mood change after watching the clip?
STEP 1. Identify the variable, names of the groups being compared, and numerical information provided.
• Variable:
• Population/condition of interest:
• Comparison population/condition:
STEP 2. State the research and null hypotheses in words and symbols
• Research:
• Null:
STEP 3. Characteristics of the comparison distribution.
Identify/calculate the mean and standard deviation of the comparison distribution. Label the distribution.
STEP 4. Identify the critical value(s) for this test, label it (them) on the distribution, shade the rejection region(s).
STEP 5. (a.) Calculate the test statistic, mark and label it on the comparison distribution. (b.) Use a Quick P-Value
calculator (c.) Calculate effect size.
STEP 6. State the hypothesis-testing conclusion, in words in terms of this test, including effect size if the test result
is statistically significant.
STEP 7. IF the hypothesis-testing result is an error, what type of error is it - Type I or Type II? Explain what this error would be in words in terms of this test of hypothesis.
STEP 8. Calculate a 95% confidence interval. Show the formulas, the numbers plugged in, and final answers.
Interpret your confidence interval
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