Inferential Statistics MCQs
Inferential Statistics MCQs
Our experts have gathered these Inferential Statistics MCQs through research, and we hope that you will be able to see how much knowledge base you have for the subject of Inferential Statistics by answering these 20 multiple-choice questions.
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1: To consider findings significant, the probability of alpha must be _____
A. 0.5
B. 0.05
C. Less than 0.05
D. Greater than 0.05
2: Most frequently, what the experimenter thinks may be true or wishes to be true before beginning an experiment is known as_____
A. Alternative hypothesis
B. Research hypothesis
C. Conformational hypothesis
D. Both a and b
3: Beta refers to the probability of_____
A. Type I error
B. Type II error
C. Both
D. None of these
4: In a controlled experiment , the parameter of statistical interest is the difference between the two groups’ means on some _____ variable as a function of the independent variable.
A. Confounding
B. Descriptive
C. Dependent
D. Continuous
5: Demand characteristics are _____ hints and cues that guide participants to act in accordance with the experimenter’s wishes or expectations.
A. Subtle
B. Unconscious
C. Assured
D. Both a and b
6: Directional alternative hypothesis is also called as_____
A. One-tailed test of significance
B. Two-tailed test of significance
C. Z test
D. T Test
7: Insignificant is often erroneously used instead of the correct statistical term not significant or nonsignificant.
A. True
B. False
8: In nondirectional hypothesis the _____ hypothesis will be rejected if two groups’ means differ in either direction.
A. Null
B. Alternative
C. Both
D. None
9: Findings are considered statistically nonsignificant or not significant if the probability of being wrong is_____
A. Equal to 0.05
B. Less than 0.05
C. More than 0.05
D. All of these
10: All are correct about null hypothesis except_____
A. The starting point in scientific research
B. Assumed there is no effect of the treatment
C. Assumed that there is no relationship between two variables
D. Assumed to be true before the start of experiment
11: Null hypothesis significance testing is a statistical method for testing whether or not _____ variable has an effect on the dependent variable.
A. Confounding
B. Response
C. Continuous
D. Independent
12: P level is the probability of committing the Type I error, that is, rejecting H0 when H0 is _____
A. True
B. Not sure
C. False
D. Both a and b
13: The science of predicting future events or the likelihood of any given event occurring is known as_____
A. Significance
B. Probability
C. Hypothesis
D. None of these
14: The significance level in replication is _____
A. 0.005
B. 0.05
C. 0.5
D. 5.0
15: Most frequently what the experimenter thinks may be true or wishes to be true before he or she begins an experiment refers to_____
A. Research hypothesis
B. Alternative hypothesis
C. Null hypothesis
D. Both a and b
16: In signal to noise ratio the effect of a treatment is considered the signal and _____ is considered the noise.
A. Constant numbers
B. Random variation in numbers
C. Both
D. None
17: Findings are considered statistically significant if the probability that we are wrong is _____
A. Equal to 0.05
B. Less than 0.05
C. More than 0.05
D. All of these
18: Trend is frequently reported when the data_____
A. Reaches the level of statistical significance
B. Comes close to the level of statistical significance
C. Gets far away from the level of statistical significance
D. All of these
19: When an experimenter incorrectly rejects the null hypothesis when it is true it is called type I error.
A. True
B. False
20: When an experimenter incorrectly rejects the null hypothesis when it is true it is called Type II error.
A. True
B. False
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Inferential Statistics MCQs
