Standard Statistics Hypothesis Testing MCQs
Standard Statistics Hypothesis Testing MCQs
These Standard Statistics Hypothesis Testing multiple-choice questions and their answers will help you strengthen your grip on the subject of Standard Statistics Hypothesis Testing. You can prepare for an upcoming exam or job interview with these Standard Statistics Hypothesis Testing MCQs.
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1: Standard score is a type of score whose _____ are known or given.
A. Mean
B. Standard deviation
C. Range
D. Both a and b
2: T score is a type of standard score with a mean of _____
A. 10
B. 25
C. 50
D. 100
3: T score is a type of standard score with a standard deviation of _____
A. 10
B. 25
C. 50
D. 100
4: A distribution of scores according to frequency that is perfectly normally distributed based on z scores is known as_____
A. Standard distribution
B. Z distribution
C. Both a and b
D. None
5: The standard deviation of z score is _____
A. 0.10
B. 1.00
C. 10.0
D. 100
6: In hypothesis testing, the null hypothesis (H0) represents:
A. The claim or statement we are trying to prove
B. The alternative hypothesis
C. The hypothesis of no effect or no difference (Correct)
D. The research question
7: What is the purpose of the significance level (α) in hypothesis testing?
A. To represent the power of the statistical test
B. To determine the sample size required for the study
C. To set the threshold for accepting or rejecting the null hypothesis (Correct)
D. To calculate the effect size of the study
8: Which type of error occurs when we reject the null hypothesis when it is true?
A. Type I error (Correct)
B. Type II error
C. Both Type I and Type II errors
D. No error is committed
9: A p-value is defined as:
A. The probability of committing a Type I error
B. The probability of observing the data if the null hypothesis is true (Correct)
C. The probability of committing a Type II error
D. The significance level (α) of the test
10: If the p-value is less than or equal to the significance level (α), what is the appropriate action in hypothesis testing?
A. Fail to reject the null hypothesis (Correct)
B. Reject the null hypothesis
C. Perform a post hoc test
D. Revise the research question
11: A researcher is testing the effectiveness of a new drug in a clinical trial. The null hypothesis states that the drug has no effect. What would be an appropriate alternative hypothesis (H1) in this case?
A. The new drug is effective (Correct)
B. The new drug has no effect
C. The new drug is harmful
D. The null hypothesis cannot have an alternative hypothesis
12: Which of the following is the correct interpretation of a p-value of 0.03 in a hypothesis test with a significance level (α) of 0.05?
A. There is a 3% chance that the null hypothesis is true
B. The result is statistically significant at the 0.05 level, and we can reject the null hypothesis (Correct)
C. The result is not statistically significant, and we fail to reject the null hypothesis
D. The p-value is less than the significance level, but it is not significant
13: What is the relationship between the p-value and the effect size of a study?
A. The p-value and effect size are independent of each other
B. A small p-value indicates a large effect size (Correct)
C. A large p-value indicates a large effect size
D. The effect size is calculated using the p-value
14: A researcher conducts a hypothesis test and obtains a p-value of 0.10. What can be concluded about the results?
A. The result is statistically significant at the 0.10 level, and we can reject the null hypothesis
B. The result is not statistically significant, and we fail to reject the null hypothesis (Correct)
C. The result is statistically significant at the 0.10 level, but it is not practically significant
D. The p-value is not sufficient to draw any conclusions about the hypothesis test
15: What is the purpose of conducting a power analysis before conducting a study?
A. To determine the significance level (α) for the study
B. To calculate the effect size of the study
C. To estimate the probability of correctly rejecting a false null hypothesis (Correct)
D. To determine the sample size required for the study
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Standard Statistics Hypothesis Testing MCQs
