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.
A. A non-scientific statement
B. A one-tailed hypothesis
C. A two-tailed hypothesis
D. A null hypothesis
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.
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.
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.
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.
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
A. Significance level
B. Significant
C. Sample size
D. Critical value
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
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
A. At the beginning of
B. At the end of
C. In the center of
D. Excluded from
A. Critical value
B. Significance level
C. Obtained value
D. P value
A. Alternative hypothesis
B. Null hypothesis
C. Direct hypothesis
D. All of these
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
A. We estimate µ1- µ2
B. We estimate s2
C. We estimate
D. Df = N - 1
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
A. β
B. α
C. γ
A. Type I
B. Type II
C. Type III
A. Only once
B. Four times
C. Neither times
D. Two times
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
A. Always taken into account
B. Sometimes taken into account
C. Used as the denominator
D. Never taken into account