A p-value below 0.05 is considered statistically significant in most scientific studies.

Review: Exam 2a

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Shantal Taveras
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20 questions
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1.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
True
False
Answer explanation
A p-value below 0.05 is commonly used as a threshold for statistical significance, though this is arbitrary and can vary depending on the field or context.
2.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A t-test is suitable for comparing more than two groups.
True
False
Answer explanation
A t-test is designed to compare the means of two groups. For more than two groups, an ANOVA (analysis of variance) is more appropriate.
3.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
If the p-value in a one-way ANOVA is less than 0.05, you fail to reject the null hypothesis.
True
False
Answer explanation
If the p-value in a one-way ANOVA is less than 0.05, you reject the null hypothesis. A p-value below 0.05 suggests there is statistically significant evidence to conclude that at least one group mean is different from the others.
4.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
Repeated measures ANOVA generally has more statistical power because it controls for individual differences, which reduces the error variance.
True
False
Answer explanation
Repeated measures ANOVA generally has more statistical power because it controls for individual differences, which reduces the error variance.
5.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A company compares the sales performance of two different sales strategies using an independent t-test. The test yields a p-value of .048.
What does the company conclude?
Reject the null hypothesis.
Fail to reject the null hypothesis.
6.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A study assesses the effectiveness of a new training program by measuring employee performance before and after the program using paired t-test. The test yields a p-value of .065.
What does the study conclude?
Reject the null hypothesis.
Fail to reject the null hypothesis.
7.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
A marketing team analyzes customer satisfaction ratings across four different advertising campaigns using an ANOVA. The test yields a p-value of .005.
What does the team conclude?
Reject the null hypothesis.
Fail to reject the null hypothesis.
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