These Inferential Statistics multiple-choice questions and their answers will help you strengthen your grip on the subject of Inferential Statistics. You can prepare for an upcoming exam or job interview with these Inferential Statistics MCQs.

So scroll down and start answering.

A. Significance

B. Confidence

C. Freedom

D. Skew

A. Normal distribution

B. Degree of freedom

C. Confidence level

D. Standard deviation

A. True

B. False

A. Platykurtic

B. Leptokurtic

C. Mesokurtic

D. Platykurtosis

A. Platykurtic

B. Leptokurtic

C. Mesokurtic

D. Platykurtosis

A. Inferential

B. Descriptive

C. Predictive

D. Factual claim

A. Bell

B. Dumbbell

C. Spin

D. Skew

A. True

B. False

A. Central Limit Theorem

B. Law of large numbers

C. Central tendency

D. Confidence intervals

A. Central Limit Theorem

B. Law of large numbers

C. Central tendency

D. Confidence intervals

A. True

B. False

A. Parametric statistics

B. Sampling deviation

C. Confidence interval

D. Bell curve

A. Sampling deviation

B. Confidence interval

C. Bell curve

D. Nonparametric statistics

A. Chi-square

B. T-test

C. Anova

D. F value

A. Chi-square

B. T-test

C. Anova

D. F value

A. Chi-square

B. T-test

C. Anova

D. F value

A. Statistical significance

B. Practical significance

C. Effect size

D. Clinical significance

A. True

B. False

A. One tailed

B. Two tailed

C. Three tailed

D. ANOVA

A. Two tailed

B. Three tailed

C. ANOVA

D. None of these

A. True

B. False

A. Analysis of variance

B. T-test

C. Regression

D. Multiple regression

A. F-value

B. T-test

C. ANOVA

D. MANOVA

A. MANOVA

B. ANOVA

C. T-test

D. Chi-square

A. Correlation

B. Regression

C. Causation

D. Covariation

A. -0.1 to +0.1

B. +0.1 to -0.1

C. -0.2 to +0.2

D. +0.2 to -0.2

A. Regression

B. Correlation

C. Causation

D. Covariance

A. Linear

B. Binary

C. Exponential

D. Non-linear

A. Predictor

B. Criterion

C. Response

D. Estimator

A. Predictor

B. Criterion

C. Response

D. Estimator

A. True

B. False

A. Curve

B. Bending

C. Stretching

D. Distortion

A. Multiple

B. Single

C. Binary

D. None of these

A. Type I error

B. Type II error

C. Type III error

D. None of above

A. Type I error

B. Type II error

C. Type III error

D. None of above

A. Sample size

B. Sampling error

C. Nominal variables

D. The effects of other variables

A. True

B. False

A. True

B. False

A. It predicts the value of one variable, given a value for a related variable.

B. It indicates whether the relationship between two variables is causal.

C. It does not indicate whether the relationship between two variables is causal.

D. It indicates the extent to which two groups differ on one variable.

A. True

B. False

A. Regression

B. Multiple regression

C. Correlation

D. Multiple correlation

A. Regression

B. Multiple regression

C. Correlation

D. Multiple correlation

A. True

B. False

A. True

B. False

A. T test

B. Three-way ANOVA

C. One-way ANOVA

D. Correlation

A. NOVA

B. ANOVA

C. MANOVA

D. T test

A. The null hypothesis is false in the wider population

B. The null hypothesis is true in the wider population

C. Your results have a greater than 5% probability of occurring by chance

D. Your results have a less than 5% probability of occurring by chance

A. It predicts the value of one variable, given a value for a related variable.

B. It indicates whether the relationship between two variables is causal.

C. It indicates the strength of the relationship between two variables.

D. It indicates the extent to which two groups differ on one variable.

A. True

B. False

A. True

B. False