4. Consider the following hypothetical scenario... A regional fast food restaurant owner wants your help to investigate the amount of time customers wait in line at the drive-thru windows of his three regional locations. He randomly samples the wait times over the course of an average day at each restaurant, which is shown below: Wait Times (in Minutes) Restaurant 1 Restaurant 2 Restaurant 3 _E_ \" Using this data and u=.05, he wants to know if there is a significant difference in wait times between the three restaurants (in other words, compare 1 vs. 2, 1 vs. 3, and 2 vs. 3). What statistical test or calculation would you be using? 0 a. Multiple Regression Analysis J O b. One-Way Analysis of Variance (ANOVA) O C. Simple Linear Regression Analysis 0 d. Paired-Samples t-Test 6. Consider the following hypothetical scenario... A local zoo wants to know if all seven of its animal exhibits are equally popular. If there is a significant evidence that some of the exhibits are not being visited frequently enough, then changes may need to occur. A tally of visitors is taken for each of the exhibits over the course of a week: MElephants Giraffes Zebras '-'."5 and Monkeys ' Reptiles Number of Visitors 157 154 168 133 Using d=.01, determine how closely your actual, observed data matches what would be expected if each exhibit had the same number of visitors. What statistical test or calculation would you be using? 0 a. z-Test O b. Paired-Samples tTest O c. One-Way Analysis of Variance (ANOVA) Q d' Chi-Square (X2) Test for Goodness of Fit 7. Consider the following hypothetical scenario... A local school board is interested in the relationship between class size and performance on a state achievement test. They collect data from the various schools in the county, which is shown below: m Avera . e Test Score -1_ From this data the school board wants you to construct a "best fit" trend line equation, with class size being the independent variable (X) and test score being the dependent variable (Y). Using this trend line equation. then. the school board wants to predict what the future test scores might be relative to various class sizes throughout their district. What statistical test or calculation would you be using? J O 3. Correlation O b. Multiple Regression Analysis 0 c. Simple Linear Regression Analysis 0 d. One-Sample tTest 10. Consider the following hypothetical scenario... A local university activities board wants to host a "movie night" for students every Friday night during the upcoming school year. They survey a random sample of students about their movie preferences, as shown below: Suspense Drama Comedy Horror Freshmen TOTAL 24 28 37 18 Sophomores 107 19 25 35 15 Juniors 94 31 33 30 12 Seniors 106 26 29 34 13 TOTAL 102 100 115 136 58 409 Suspecting that movie preference and college class/cohort might be related (that is, Freshmen might prefer one type of movie, Sophomores might prefer a different type of movie, etc.), you conduct a study to determine this. What statistical test or calculation would you be using? O a. Paired-Samples t-Test O b. Multiple Regression Analysis O C. Chi-Square (X2) Test for Association O d. CorrelationYour VP of Marketing believes that most of the company's sales representatives both contact and maintain clients in a disorganized, haphazard way. Consequently, he bought each of his sales representatives a $500 electronic organizer, which was accompanied by a one-day training session to learn how to use it effectively. Hoping that his sales representatives would now be more organized and efcient in scheduling client visits, he tracked the number of client visits before and after the training session: S ales Re . B efore After > gm 3 HHH x N .3: (4000 3 m 2 i 0| gI- N'OJN 000113- Assuming that the differences in the number of client visits is normally distributed, use the data above (0:.05) to determine whether the average number of client visits increased signicantly following the training session. JWhat statistical test or calculation would you be using? 0 a. Multiple Regression Analysis 0 b. Independent-Samples t-Test O C. Pared-Samples t-Test Q d. Correlation