Our team has conducted extensive research to compile a set of Hypothesis Testing in Statistics MCQs. We encourage you to test your Hypothesis Testing in Statistics knowledge by answering these 50+ multiple-choice questions provided below.
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A. Type I
B. Type II
C. Type III
D. Both
A. Less than
B. Greater than
C. Not equal
D. All of these
A. True
B. False
A. Small
B. Medium
C. Large
D. All of these
A. 5%
B. 5% or less
C. 5% or more
D. All of these
A. >
B. <
C. =
D. Both a and b
A. True
B. False
A. Measure of the size of an observed effect in a population
B. To describe how far scores shifted in the population
C. To describe the percentage of variance
D. All of these
A. An observation
B. A phenomenon
C. A scientific problem
D. All of these
A. Hypothesis Testing
B. Significance Testing
C. Probability Testing
D. Both a and b
A. True
B. False
A. >
B. <
C. =
D. â‰
A. True
B. False
A. Critical value
B. Predicting value
C. Sample value
D. Both a and b
A. Single sample
B. Single population
C. Both
D. None
A. >
B. <
C. =
D. Both a and b
A. True
B. False
C. Unknown
D. All of these
A. True null
B. False null
C. True simple
D. False simple
A. True
B. False
A. Power
B. Significance
C. Probability
D. All of these
A. Simple
B. Complex
C. Null
D. All of these
A. Significance Testing
B. Probability Testing
C. Directional Testing
D. Non-directional Testing
A. True
B. False
A. Simple
B. Directional
C. Non-directional
D. Null
A. Directional Tests
B. Non-directional Tests
C. Two-Tailed Tests
D. Both b and c
A. Directional Tests
B. Non-directional Tests
C. Two-Tailed Tests
D. Both b and c
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False
A. Type I Error
B. Type II Error
C. Type III Error
D. None of these
A. Type I Error
B. Type II Error
C. Type III Error
D. None of these
A. One-Tailed Hypothesis
B. Two-Tailed Hypothesis
C. Non-directional Hypothesis
D. Both b and c
A. Standard error
B. Standard Deviation
C. Standard Mean
D. None of these
A. Hypothesis testing.
B. Significance testing.
C. Random sampling
D. Both A and B
A. Hypothesis testing.
B. Significance testing.
C. Random sampling
D. Both A and B
A. Construct a sampling distribution
B. Set the criteria for a decision
C. Guess the plan
A. U ≠100.
B. M ≠100.
C. U = 100.
D. M = 100.
A. P < .05.
B. The decision is to retain the null hypothesis.
C. The test statistic was lesser than the critical value.
D. The null hypothesis was not determine
A. There is a 2.5% likelihood that the researcher’s hypothesis is correct.
B. The probability of committing a Type I error if we retain the null hypothesis is 2.5%.
C. The probability of committing a Type II error if we reject the null hypothesis is 2.5%.
D. There is a 2.5% likelihood of obtaining the test statistic value, if the null is true.
A. A researcher can directly control the probability of committing a Type I error.
B. Type II error is the probability of retaining a null hypothesis that is actually false.
C. A researcher can directly control the probability of a Type II error.
D. The one-sample z test is used to test hypotheses about a mean from a single population with a known variance.
A. A researcher can directly control the probability of committing a Type I error.
B. Type II error is the probability of retaining a null hypothesis that is actually false.
C. A researcher can directly control the probability of a Type II error.
D. The one-sample z test is used to test hypotheses about a mean from a single population with a known variance.
A. To reject the null hypothesis
B. To retain the null hypothesis
C. There is not enough information since the variance is not given.
D. There is not enough information since the sample size is not given
A. The probability of rejecting a false null hypothesis.
B. The probability of committing a Type I error.
C. Type II error.
D. The correct decision.
A. The effect size
B. The p value
C. The alpha level
D. The test statistic
A. The effect size
B. The p value
C. The alpha level
D. The test statistic
A. True
B. False
A. True
B. False
A. True
B. False
A. True
B. False