Hypothesis Testing in Statistics MCQs

Hypothesis Testing in Statistics MCQs

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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1: Alpha Level is the largest probability of committing a _____ error that researchers will allow and still decide to reject the null hypothesis.

A.   Type I

B.   Type II

C.   Type III

D.   Both

2: Alternative Hypothesis is a statement that directly contradicts a null hypothesis by stating that the actual value of a population parameter, such as the mean, is_____ the value stated in the null hypothesis.

A.   Less than

B.   Greater than

C.   Not equal

D.   All of these

3: Beta Error is the probability of retaining a null hypothesis that is actually true.

A.   True

B.   False

4: Cohen’s Effect Size Conventions are the standard rules for identifying _____ effects based on typical findings in behavioral research.

A.   Small

B.   Medium

C.   Large

D.   All of these

5: Critical Value is a cutoff value that defines the boundaries beyond which _____ of sample means can be obtained if the null hypothesis is true.

A.   5%

B.   5% or less

C.   5% or more

D.   All of these

6: Directional Tests are the hypothesis tests where the alternative hypothesis is stated as _____ a value stated in the null hypothesis.

A.   >

B.   <

C.   =

D.   Both a and b

7: In hypothesis testing, an effect is not significant when we retain the null hypothesis.

A.   True

B.   False

8: The purpose of Effect Size is _____

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

9: Hypothesis is a statement or proposed explanation for_____ that can be tested using the research method.

A.   An observation

B.   A phenomenon

C.   A scientific problem

D.   All of these

10: A method for testing a claim or hypothesis about a parameter in a population, using data measured in a sample is known as_____

A.   Hypothesis Testing

B.   Significance Testing

C.   Probability Testing

D.   Both a and b

11: Level of Significance refers to criterion of judgment upon which a decision is made regarding the value stated in a null hypothesis.

A.   True

B.   False

12: Nondirectional Tests are the hypothesis tests in which the alternative hypothesis is stated as _____ a value stated in the null hypothesis.

A.   >

B.   <

C.   =

D.   ≠

13: Null Hypothesis is a statement about a population parameter, such as the population mean, that is assumed to be false.

A.   True

B.   False

14: Obtained Value is compared to the _____of a hypothesis test to make a decision.

A.   Critical value

B.   Predicting value

C.   Sample value

D.   Both a and b

15: One-Sample Z Test is a statistical procedure used to test hypotheses concerning the mean in a_____ with a known variance.

A.   Single sample

B.   Single population

C.   Both

D.   None

16: One-Tailed Tests are the hypothesis tests where the alternative hypothesis is stated as _____ a value stated in the null hypothesis.

A.   >

B.   <

C.   =

D.   Both a and b

17: P Value is the probability of a obtaining a sample outcome, given that the value stated in the null hypothesis is _____

A.   True

B.   False

C.   Unknown

D.   All of these

18: Power is the probability of rejecting a _____ hypothesis.

A.   True null

B.   False null

C.   True simple

D.   False simple

19: When the value of a test statistic is in the rejection region, we decide to reject the null hypothesis; otherwise, we retain the null hypothesis

A.   True

B.   False

20: A decision made concerning a value stated in the null hypothesis is known as _____

A.   Power

B.   Significance

C.   Probability

D.   All of these

21: Significance Level refers to criterion of judgment upon which a decision is made regarding the value stated in a _____ hypothesis.

A.   Simple

B.   Complex

C.   Null

D.   All of these

22: A method for testing a claim or hypothesis about a parameter in a population, using data measured in a sample is known as_____

A.   Significance Testing

B.   Probability Testing

C.   Directional Testing

D.   Non-directional Testing

23: When the null hypothesis is retained, we reach Statistical Significance.

A.   True

B.   False

24: The value of the test statistic is used to make a decision regarding a _____ hypothesis.

A.   Simple

B.   Directional

C.   Non-directional

D.   Null

25: _____ are the hypothesis tests in which the alternative hypothesis is stated as not equal to (≠) a value stated in the null hypothesis.

A.   Directional Tests

B.   Non-directional Tests

C.   Two-Tailed Tests

D.   Both b and c

26: _____ are the hypothesis tests in which the alternative hypothesis is stated as not equal to (≠) a value stated in the null hypothesis.

A.   Directional Tests

B.   Non-directional Tests

C.   Two-Tailed Tests

D.   Both b and c

27: Type I Error is the probability of retaining a null hypothesis that is actually false.

A.   True

B.   False

28: Type I Error is the probability of retaining a null hypothesis that is actually false.

A.   True

B.   False

29: Type I Error is the probability of retaining a null hypothesis that is actually false.

A.   True

B.   False

30: Type I Error is the probability of retaining a null hypothesis that is actually false.

A.   True

B.   False

31: The probability of retaining a null hypothesis that is actually false is known as_____

A.   Type I Error

B.   Type II Error

C.   Type III Error

D.   None of these

32: The probability of retaining a null hypothesis that is actually false is known as_____

A.   Type I Error

B.   Type II Error

C.   Type III Error

D.   None of these

33: Type III Error is a type of error possible with _____ in which a decision would have been to reject the null hypothesis.

A.   One-Tailed Hypothesis

B.   Two-Tailed Hypothesis

C.   Non-directional Hypothesis

D.   Both b and c

34: Z Statistic is an inferential statistic used to determine the number of _____ in a standard normal distribution.

A.   Standard error

B.   Standard Deviation

C.   Standard Mean

D.   None of these

35: A method for testing a claim or hypothesis about a parameter in a population, using data measured in a sample, is called:

A.   Hypothesis testing.

B.   Significance testing.

C.   Random sampling

D.   Both A and B

36: A method for testing a claim or hypothesis about a parameter in a population, using data measured in a sample, is called:

A.   Hypothesis testing.

B.   Significance testing.

C.   Random sampling

D.   Both A and B

37: Only one of the following is a step to hypothesis testing.

A.   Construct a sampling distribution

B.   Set the criteria for a decision

C.   Guess the plan

38: The mean for a vocabulary test is 100; a researcher selects a sample to administer this test. In this example, the null hypothesis is:

A.   U ≠100.

B.   M ≠ 100.

C.   U = 100.

D.   M = 100.

39: If the value of the test statistic is in the rejection region, then:

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

40: A researcher studying the development of executive functions in children conducts an experiment and computes a test statisti He finds that the p value for this test is .025. This result means that:

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.

41: Which of these statements is false?

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.

42: Which of these statements is false?

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.

43: Given the following values: u = 5.0, M = 6.6, n = 25, and ϭ = 5, conduct a one-sample z test at a .05 level of significance. For a one-tailed test, upper-tail critical, what is the decision?

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

44: The power in hypothesis testing is:

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.

45: In one study, it was reported that scores were lower than the population mean, and z = −1.75, p = .05 (d = .14). If this was a test at a .05 level of significance, then what value must be incorrectly reported?

A.   The effect size

B.   The p value

C.   The alpha level

D.   The test statistic

46: In one study, it was reported that scores were lower than the population mean, and z = −1.75, p = .05 (d = .14). If this was a test at a .05 level of significance, then what value must be incorrectly reported?

A.   The effect size

B.   The p value

C.   The alpha level

D.   The test statistic

47: One step to hypothesis testing is to compute the test statisti

A.   True

B.   False

48: One step to hypothesis testing is to compute the test statisti

A.   True

B.   False

49: The alpha level is completely different from the p value.

A.   True

B.   False

50: A Type III error is possible for hypothesis tests where the rejection region is located in both tails.

A.   True

B.   False