Statistical Hypothesis Testing MCQs
Statistical Hypothesis Testing MCQs
These Statistical Hypothesis Testing multiple-choice questions and their answers will help you strengthen your grip on the subject of Statistical Hypothesis Testing. You can prepare for an upcoming exam or job interview with these Statistical Hypothesis Testing MCQs.
So scroll down and start answering.
1: ‘Children can learn a second language faster before the age of 7’. Is this statement:
A. A non-scientific statement
B. A one-tailed hypothesis
C. A two-tailed hypothesis
D. A null hypothesis
2: If my experimental hypothesis were ‘Eating cheese before bed affects the number of nightmares you have’, what would the null hypothesis be?
A. Eating cheese before bed gives you more nightmares.
B. Eating cheese before bed gives you fewer nightmares.
C. Eating cheese is linearly related to the number of nightmares you have.
D. The number of nightmares you have is not affected by eating cheese before bed.
3: If my null hypothesis is ‘Dutch people do not differ from English people in height’, what is my alternative hypothesis?
A. All of the statements are plausible alternative hypotheses.
B. Dutch people are taller than English people.
C. English people are taller than Dutch people.
D. Dutch people differ in height from English people.
4: What is p the probability if the null hypothesis were true? (Hint: NHST relies on fitting a ‘model’ to the data and then evaluating the probability of this ‘model’ given the assumption that no effect exists.)
A. P is the probability that the results are due to chance, the probability that the null hypothesis (H0) is true.
B. P is the probability of observing a test statistic at least as big as the one we have if there were no effects in the population (i.e., the null hypothesis were true).
C. P is the probability that the results are not due to chance, the probability that the null hypothesis (H0) is false.
D. P is the probability that the results would be replicated if the experiment was conducted a second time.
5: A Type I error occurs when: (Hint: When we use test statistics to tell us about the true state of the world, we’re trying to see whether there is an effect in our population.)
A. We conclude that there is not an effect in the population when in fact there is.
B. We conclude that the test statistic is significant when in fact it is not.
C. The data we have typed into SPSS is different from the data collected.
D. We conclude that there is an effect in the population when in fact there is not.
6: Decreasing the alpha level from α = .05 to α = .01 ____.
A. Decreases the probability of a Type I error
B. Decreases the size of the critical region
C. Decreases the probability that the sample will fall into the critical region
D. All of the other options are results of decreasing alpha
7: A(n) ____________ difference is due to some systematic influence and not due to chance.
A. Significance level
B. Significant
C. Sample size
D. Critical value
8: The size of the sampling error is ________.
A. Inversely related to the sample size
B. DIirectly related to the sample size
C. Equally related to the sample size
D. None of the above
9: When using student's t to compute an interval estimate, ___________.
A. We assume the samples are collected from normally distributed populations
B. We assume the samples are collected from professsionally distributed populations
C. Both A and B
D. None of the above
10: The sample mean is _____ the confidence interval.
A. At the beginning of
B. At the end of
C. In the center of
D. Excluded from
11: The test statistic calculated by the statistical procedure selected is known as the ___________.
A. Critical value
B. Significance level
C. Obtained value
D. P value
12: The hypothesis statement h: μ < 60 is an example of a(an) ________ hypothesis.
A. Alternative hypothesis
B. Null hypothesis
C. Direct hypothesis
D. All of these
13: The critical value for a hypothesis test _______.
A. The significance level and determines the boundary for the rejection region.
B. The unsignificance level and determines the boundary for the region.
C. Both
D. None of these
14: In the t test for independent groups, ____.
A. We estimate µ1- µ2
B. We estimate s2
C. We estimate
D. Df = N - 1
15: If calculated required sample size is a non integer value, we should always _____ calculated value.
A. True
B. Round up
C. FALSE
D. Round the result of the calculation up to the nearest whole number.
E. To be conservative, always round up noninteger values of the calculated required sample size
16: For a fixed sample size, the lower we set α, the higher is the ___________.
A. β
B. α
C. γ
17: The rejection of a true null hypothesis is called a ______________ error.
A. Type I
B. Type II
C. Type III
18: The t test for independent means is used when each group is tested ____________.
A. Only once
B. Four times
C. Neither times
D. Two times
19: 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
20: When computing effect size, the sample size is ________.
A. Always taken into account
B. Sometimes taken into account
C. Used as the denominator
D. Never taken into account
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Statistical Hypothesis Testing MCQs
