Hypothesis Testing MCQs 10

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The quiz is about Hypothesis Testing MCQs with Answers. The quiz contains 20 questions about hypothesis testing and p-values. It covers the topics of formulation of the null and alternative hypotheses, level of significance, test statistics, region of rejection, decision, effect size, about acceptance and rejection of the hypothesis. Let us start with the Quiz Hypothesis Testing MCQs Quiz now.

Online Hypothesis Testing MCQs with Answers

Online Hypothesis Testing MCQs with Answers

1. The battery life of smartphones is of great concern to customers. A consumer group tested four brands of smartphones to determine the battery life. Samples of phones of each brand were fully charged and left to run until the battery died. The table above displays the number of hours each of the batteries lasted. What test will be used to test the difference in means?

 
 
 
 

2. An experiment has been performed with a factor having two levels. There are 10 observations at each level. The following data results:
$\overline{y_1} = 10.5, S_1=2, \overline{y_2}=12.4, S_2=1.6$
You conduct a test of the hypothesis that the two means are equal. Assume that the alternative hypothesis is two-sided and that the population variances are equal. The P-value is:

 
 
 
 

3. In studies with less observations, parameters like effect sizes vary ______, the power to detect the effect size in the population depends, among other things, on _____.

 

 
 
 
 

4. You performed a p-curve analysis and found a skewed distribution of p-values which peaks around $p = 0.045$, what does this mean?

 
 
 
 

5. An example of an unstandardized effect size is ——————; unstandardized effect sizes ——————.

 
 
 
 

6. Going through a dataset and looking at which effects are present can be problematic when —————-. It is NOT problematic when you ————–.

 
 
 
 

7. If I wanted to test for association using a chi-square test, whether there is an association between gender (Male or Female) and tenure-ship (tenured or not tenured), what would be my degree of freedom?

 
 
 
 

8. The most important assumption in using the t-test is that the sample data come from normal populations.

 
 

9. Using the teacher’s rating data, is there an association between native (native English speakers) and the number of credits taught? What test will you use?

 
 
 
 

10. You predict that your intervention will increase all participants’ performance on a test, this is an example of —————–. After the study, you conclude that the intervention only works for women but not men, this is an example of —————–.

 
 
 
 

11. Consider a normally distributed data set with mean $\mu = 63.18$ inches and standard deviation $\sigma = 13.27$ inches. What is the z-score when $x = 91.54$ inches?

 
 
 
 

12. You replicate an older study, which reported both credible intervals and confidence intervals. You also calculate both. Which statement is correct?

 
 
 
 

13. Predicting that a measured variable differs in two groups, without random assignment to conditions, is often ——————.

 
 
 
 

14. You perform five tests without correcting for multiple comparisons. The error rate for each test is ————–. After using the Bonferonni correction, the individual error rate for each test is —————.

 
 
 
 

15. The difference between eta-squared and partial eta-squared is ————, the difference between eta-squared and omega-squared is ————–

 
 
 
 

16. Which of the following statements about the ANOVA F-test score are true?

 
 
 
 

17. Which of the following is a possible alternative hypothesis $H_1$ for a two-tailed test?

 
 
 
 

18. An experiment has been conducted to test the equality of two means, with known variances. The P-value for the Z-test statistic was 0.023. Assume a two-sided alternative hypothesis. The 95% confidence interval on the difference in the two means included the value zero.

 
 

19. What is the purpose of an ANOVA test?

 
 
 
 

20. A room in a laboratory is only considered safe if the mean radiation level is 400 or less. When a sample of 10 radiation measurements was taken, the mean value of the radiation was 414 with a standard deviation of 17. Some concerns mean radiation is above 414. Radiation levels in the lab are known to follow a normal distribution with a standard deviation of 22. We would like to conduct a hypothesis test at the 5% level of significance to determine whether there is evidence that the laboratory is unsafe. What will be the appropriate test?

 
 
 
 

Online Hypothesis Testing MCQs with Answers

  • You perform five tests without correcting for multiple comparisons. The error rate for each test is ————–. After using the Bonferonni correction, the individual error rate for each test is —————.
  • An example of an unstandardized effect size is ——————; unstandardized effect sizes ——————.
  • The difference between eta-squared and partial eta-squared is ————, the difference between eta-squared and omega-squared is ————–
  • You replicate an older study, which reported both credible intervals and confidence intervals. You also calculate both. Which statement is correct?
  • In studies with less observations, parameters like effect sizes vary —————, the power to detect the effect size in the population depends, among other things, on —————–.  
  • You performed a p-curve analysis and found a skewed distribution of p-values which peaks around $p = 0.045$, what does this mean?
  • You predict that your intervention will increase all participants’ performance on a test, this is an example of —————–. After the study, you conclude that the intervention only works for women but not men, this is an example of —————–.
  • Predicting that a measured variable differs in two groups, without random assignment to conditions, is often ——————.
  • Going through a dataset and looking at which effects are present can be problematic when —————-. It is NOT problematic when you ————–.
  • What is the purpose of an ANOVA test?
  • Which of the following is a possible alternative hypothesis $H_1$ for a two-tailed test?
  • Using the teacher’s rating data, is there an association between native (native English speakers) and the number of credits taught? What test will you use?
  • If I wanted to test for association using a chi-square test, whether there is an association between gender (Male or Female) and tenure-ship (tenured or not tenured), what would be my degree of freedom?
  • Consider a normally distributed data set with mean $\mu = 63.18$ inches and standard deviation $\sigma = 13.27$ inches. What is the z-score when $x = 91.54$ inches?
  • The battery life of smartphones is of great concern to customers. A consumer group tested four brands of smartphones to determine the battery life. Samples of phones of each brand were fully charged and left to run until the battery died. The table above displays the number of hours each of the batteries lasted. What test will be used to test the difference in means?
  • A room in a laboratory is only considered safe if the mean radiation level is 400 or less. When a sample of 10 radiation measurements was taken, the mean value of the radiation was 414 with a standard deviation of 17. Some concerns mean radiation is above 414. Radiation levels in the lab are known to follow a normal distribution with a standard deviation of 22. We would like to conduct a hypothesis test at the 5% level of significance to determine whether there is evidence that the laboratory is unsafe. What will be the appropriate test?
  • Which of the following statements about the ANOVA F-test score are true?
  • An experiment has been performed with a factor having two levels. There are 10 observations at each level. The following data results: $\overline{y_1} = 10.5, S_1=2, \overline{y_2}=12.4, S_2=1.6$ You conduct a test of the hypothesis that the two means are equal. Assume that the alternative hypothesis is two-sided and that the population variances are equal. The P-value is:
  • An experiment has been conducted to test the equality of two means, with known variances. The P-value for the Z-test statistic was 0.023. Assume a two-sided alternative hypothesis. The 95% confidence interval on the difference in the two means included the value zero.
  • The most important assumption in using the t-test is that the sample data come from normal populations.

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