Hypothesis Testing (Conceptual) MCQs
Hypothesis Testing (Conceptual) MCQs
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1: A Type II error is retaining a false null hypothesis.
A. True
B. False
2: Chi-square test is an example of a bivariate inferential test.
A. True
B. False
3: Hypothesis testing draws conclusions about samples.
A. True
B. False
4: Step 2 of a hypothesis test is calculating the test statistic.
A. True
B. False
5: The null hypothesis assumes that the difference between the population and the sample is sampling error.
A. True
B. False
6: Which of the following is NOT an example of a bivariate inferential test?
A. Multivariate regression
B. Chi-square
C. T test
D. ANOVA
7: Which of the following statements describes a Type I error?
A. A false null is retained.
B. A true null is erroneously rejected.
C. A false null is retained and a true null is erroneously rejected
D. None of these
8: Which of the following is the fourth step of hypothesis testing?
A. State the null
B. Make a prediction
C. Choose a statistical statistic
D. Compute the obtained value of the statistic
9: Which of the following is an assumption of inferential analysis?
A. The alternative hypothesis is true.
B. The null hypothesis is true.
C. Either can be true depending on the circumstances.
D. None of these
10: What is the goal of hypothesis testing?
A. To make predictions
B. To figure out which type of statistic to use
C. To decide whether to reject/retain the null
D. To calculate a chi-square statistic
11: Before conducting a hypothesis test, what must a researcher do?
A. Compute an ANOVA
B. Create a null hypothesis
C. Calculate a sample statistic
D. All of these
12: How does a researcher determine which test to use in a hypothesis test?
A. Random guessing
B. Based on the sample statistic
C. Based on the level of measurement of the variables
D. None of these
13: When a sample statistic is not equal to a population parameter, which conceptualization is accurate?
A. The disparity could represent a legitimate statistical effect.
B. True discrepancy exists between the sample statistic and population parameter.
C. The disparity could represent a legitimate statistical effect and true discrepancy exists between the sample statistic and population parameter
D. None of these
14: What does the alternative hypothesis predict?
A. The variables being examined are related.
B. The variables being examined are not related.
C. A chi-square test
D. The critical value
15: Which of the following statements is accurate concerning degrees of freedom?
A. They are not part of hypothesis testing.
B. They are only related to a population parameter.
C. They are part of Step 2 in hypothesis testing.
D. They are part of Step 3 in hypothesis testing.
16: When computing effect size, the sample size is ________.
A. Large effect size
B. Not taken into account
C. Scores are independent.
D. Set by the researcher
17: To conduct a test of hypothesis with a small sample, we make an assumption that __________.
A. A larger computed value of t will be needed to reject the null hypothesis
B. The region of acceptance will be wider than for large samples
C. The confidence interval will be wider than for large samples
D. The population is normally distributed
18: Is alternative hypothesis in an inferential test, the hypothesis predicting that there is a relationship between the independent and dependent variables. Symbolized H1. Sometimes referred to as a research hypothesis?
A. False
B. True
19: _____ is the process of generalizing from a sample to a population; the use of a sample statistic to estimate a population parameter. Also called hypothesis testing.
A. Inferential analysis
B. T test
C. All of these
D. Multivariate regression
20: _____ is defined as in an inferential test, the hypothesis predicting that there is no relationship between the inde- pendent and dependent variables. Symbolized H0.
A. The samples are normally distributed.
B. The samples have equal variances.
C. None of these
D. Null hypothesis
21: _____ is known as the erroneous rejection of a true null hypothesis.
A. Type I error
B. All of these
C. To find P values
D. To find the z score
22: Is type II error the erroneous retention of a false null hypothesis?
A. True
B. False
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Hypothesis Testing (Conceptual) MCQs
