1. Active Learning Lecture Slides For use with Classroom Response Systems Comparing Two Groups

2. Copyright © 2013 Pearson Education, Inc. 10.1 Do people who drink caffeinated beverages have a higher occurrence of heart disease than people who do not drink caffeinated beverages? Two hundred caffeinated beverage drinkers and non-caffeinated beverage drinkers are followed for 20 years and the occurrences of heart disease is recorded. To answer this question would you use proportions or means AND dependent or independent samples? a) Two proportions from independent samples. b) Two proportions from dependent samples. c) Two means from independent samples. d) Two means from dependent samples.

3. Copyright © 2013 Pearson Education, Inc. 10.1 Do people who drink caffeinated beverages have a higher occurrence of heart disease than people who do not drink caffeinated beverages? Two hundred caffeinated beverage drinkers and non-caffeinated beverage drinkers are followed for 20 years and the occurrences of heart disease is recorded. To answer this question would you use proportions or means AND dependent or independent samples? a) Two proportions from independent samples. b) Two proportions from dependent samples. c) Two means from independent samples. d) Two means from dependent samples.

4. Copyright © 2013 Pearson Education, Inc. 10.2 Has there been a significant change in the proportion of Americans that believe that we are spending too little on improving the education system? Data was collected by the GSS in 1988 (group 1) and in 2004 (group 2) that resulted in the following 95% confidence interval for is (-0.11, -0.03)? Interpret. a) There is statistically significant evidence that the population proportion is higher in 1988 than in 2004. b) There is statistically significant evidence that the population proportion is lower in 1988 than in 2004. c) There is no statistically significant evidence that the population proportion is different for 1988 and for 2004.

5. Copyright © 2013 Pearson Education, Inc. 10.2 Has there been a significant change in the proportion of Americans that believe that we are spending too little on improving the education system? Data was collected by the GSS in 1988 (group 1) and in 2004 (group 2) that resulted in the following 95% confidence interval for is (-0.11, -0.03)? Interpret. a) There is statistically significant evidence that the population proportion is higher in 1988 than in 2004. b) There is statistically significant evidence that the population proportion is lower in 1988 than in 2004. c) There is no statistically significant evidence that the population proportion is different for 1988 and for 2004.

6. Copyright © 2013 Pearson Education, Inc. 10.3 Do more women (w) get greater satisfaction from their family life than men (m)? One year the GSS asked 234 men and 270 women if they got a “very great deal of satisfaction” from their family life. What is the correct alternative hypothesis? a) b) c) d)

7. Copyright © 2013 Pearson Education, Inc. 10.3 Do more women (w) get greater satisfaction from their family life than men (m)? One year the GSS asked 234 men and 270 women if they got a “very great deal of satisfaction” from their family life. What is the correct alternative hypothesis? a) b) c) d)

8. Copyright © 2013 Pearson Education, Inc. 10.4 Do more women (w) get greater satisfaction from their family life then men (m)? The GSS asked men and women if they got a “very great deal of satisfaction” from their family life. For the Minitab output below, what is the correct conclusion? Test for difference = a) We have strong statistically significant evidence that the population proportion of women get very great deal of satisfaction from family life is more than for men. b) We have strong statistically significant evidence that the population proportion of women get very great deal of satisfaction from family life is less than for men. c) We do not have statistically significant evidence of a difference in the population proportion of men and women who get a very great deal of satisfaction from family life.

9. Copyright © 2013 Pearson Education, Inc. 10.4 Do more women (w) get greater satisfaction from their family life then men (m)? The GSS asked men and women if they got a “very great deal of satisfaction” from their family life. For the Minitab output below, what is the correct conclusion? Test for difference = a) We have strong statistically significant evidence that the population proportion of women get very great deal of satisfaction from family life is more than for men. b) We have strong statistically significant evidence that the population proportion of women get very great deal of satisfaction from family life is less than for men. c) We do not have statistically significant evidence of a difference in the population proportion of men and women who get a very great deal of satisfaction from family life.

10. Copyright © 2013 Pearson Education, Inc. 10.5 What type of problem would be used to test the following alternative hypothesis? “Europeans on average walk more miles per day than Americans.” a) Comparing two proportions from independent samples. b) Comparing two proportions from dependent samples. c) Comparing two means from independent samples. d) Comparing two means from dependent samples.

11. Copyright © 2013 Pearson Education, Inc. 10.5 What type of problem would be used to test the following alternative hypothesis? “Europeans on average walk more miles per day than Americans.” a) Comparing two proportions from independent samples. b) Comparing two proportions from dependent samples. c) Comparing two means from independent samples. d) Comparing two means from dependent samples.

12. Copyright © 2013 Pearson Education, Inc. 10.6 Do people who run at least 5 miles a week have a higher resting heart rate than people who ride their bike at least 5 miles a week? People were allowed to participate in only one sport. The resting heart rate of 200 runners and 200 bikers who cover more than 5 miles were recorded. To answer this question would you use proportions or means AND dependent or independent samples? a)Two proportions from independent samples b)Two proportions from dependent samples c)Two means from independent samples d)Two means from dependent samples

13. Copyright © 2013 Pearson Education, Inc. 10.6 Do people who run at least 5 miles a week have a higher resting heart rate than people who ride their bike at least 5 miles a week? People were allowed to participate in only one sport. The resting heart rate of 200 runners and 200 bikers who cover more than 5 miles were recorded. To answer this question would you use proportions or means AND dependent or independent samples? a)Two proportions from independent samples b)Two proportions from dependent samples c)Two means from independent samples d)Two means from dependent samples

14. Copyright © 2013 Pearson Education, Inc. 10.7 In 2004, two groups of college age students were asked how many drinks they had on a day in which they were drinking. Group A was above the legal drinking age and Group B was below the legal drinking age. The below drinking age group had a sample mean of 1.2 and the above drinking age group had a sample mean of 2.17. What is the point estimate of ? a) 0 b) -0.97 c) 1.96 d) 1.69 e) Unknown

15. Copyright © 2013 Pearson Education, Inc. a) 0 b) -0.97 c) 1.96 d) 1.69 e) Unknown 10.7 In 2004, two groups of college age students were asked how many drinks they had on a day in which they were drinking. Group A was above the legal drinking age and Group B was below the legal drinking age. The below drinking age group had a sample mean of 1.2 and the above drinking age group had a sample mean of 2.17. What is the point estimate of ?

16. Copyright © 2013 Pearson Education, Inc. 10.8 Two groups of college age students were asked how many drinks they had on a day in which they were drinking. Group A was above the legal drinking age and Group B was below the legal drinking age. What is the correct alternative hypothesis to determine if the population mean number of drinks consumed by the above legal age group was significantly higher than the below legal age group? a) b) c) d)

17. Copyright © 2013 Pearson Education, Inc. 10.8 Two groups of college age students were asked how many drinks they had on a day in which they were drinking. Group A was above the legal drinking age and Group B was below the legal drinking age. What is the correct alternative hypothesis to determine if the population mean number of drinks consumed by the above legal age group was significantly higher than the below legal age group? a) b) c) d)

18. Copyright © 2013 Pearson Education, Inc. 10.9 An administrator wondered if upperclassmen spent a different amount of money on rent than underclassmen. The Minitab output below is the result of her study. What would be your conclusion? Difference = mu(under) - mu(upper) 95% CI for difference: (-209.800, -17.700) a) There is statistically significant evidence that the population mean rent is higher for underclassmen than upperclassmen. b) There is statistically significant evidence that the population mean rent is higher for upperclassmen than underclassmen. c) There is no statistically significant evidence that the population mean rent is different for upperclassmen and underclassmen.

19. Copyright © 2013 Pearson Education, Inc. 10.9 An administrator wondered if upperclassmen spent a different amount of money on rent than underclassmen. The Minitab output below is the result of her study. What would be your conclusion? Difference = mu(under) - mu(upper) 95% CI for difference: (-209.800, -17.700) a) There is statistically significant evidence that the population mean rent is higher for underclassmen than upperclassmen. b) There is statistically significant evidence that the population mean rent is higher for upperclassmen than underclassmen. c) There is no statistically significant evidence that the population mean rent is different for upperclassmen and underclassmen.

20. Copyright © 2013 Pearson Education, Inc. 10.10 An administrator wondered if upperclassmen spent a different amount of money on rent than underclassmen. The Minitab output below is the result of her study. What would be your p-value for a two sided test based on the confidence interval below? Difference = mu (under) - mu (upper) 95% CI for difference: (-209.800, -17.700) a) The p-value would be greater than 0.05. b) The p-value would be less than 0.05. c) It cannot be determined.

21. Copyright © 2013 Pearson Education, Inc. 10.10 An administrator wondered if upperclassmen spent a different amount of money on rent than underclassmen. The Minitab output below is the result of her study. What would be your p-value for a two sided test based on the confidence interval below? Difference = mu (under) - mu (upper) 95% CI for difference: (-209.800, -17.700) a) The p-value would be greater than 0.05. b) The p-value would be less than 0.05. c) It cannot be determined.

22. Copyright © 2013 Pearson Education, Inc. 10.11 A medical researcher was testing to see if a new prescription anti-inflammatory drug helped reduce swelling after a shoulder injury. One group was given the new drug and another group was given a placebo. A week after injury the amount of swelling was scored on a 1 to 20 point scale. Assuming that the population standard deviations are the same in both cases, what is the pooled standard deviation? a) 1.66 b) 2.70 c) 2.78 d) 7.70 e)None of the above New DrugPlacebo Mean 8.810.7 Stan. Dev. 2.33.1 Sample Size 2025

23. Copyright © 2013 Pearson Education, Inc. a) 1.66 b) 2.70 c) 2.78 d) 7.70 e)None of the above 10.11 A medical researcher was testing to see if a new prescription anti-inflammatory drug helped reduce swelling after a shoulder injury. One group was given the new drug and another group was given a placebo. A week after injury the amount of swelling was scored on a 1 to 20 point scale. Assuming that the population standard deviations are the same in both cases, what is the pooled standard deviation? New DrugPlacebo Mean 8.810.7 Stan. Dev. 2.33.1 Sample Size 2025

24. Copyright © 2013 Pearson Education, Inc. 10.12 A medical researcher was testing to see if a new prescription anti-inflammatory drug helped reduce swelling after a shoulder injury. One group was given the new drug and another group was given a placebo. A week after the injury the amount of swelling was scored on a 1 to 20 point scale. Assuming that the population standard deviations are the same in both cases, what are the degrees of freedom that you would use on a t table? a) 19 b) 24 c) 43 d) 44 e) None of the above New DrugPlacebo Mean 8.810.7 Stan. Dev. 2.33.1 Sample Size 2025

25. Copyright © 2013 Pearson Education, Inc. a) 19 b) 24 c) 43 d) 44 e) None of the above 10.12 A medical researcher was testing to see if a new prescription anti-inflammatory drug helped reduce swelling after a shoulder injury. One group was given the new drug and another group was given a placebo. A week after the injury the amount of swelling was scored on a 1 to 20 point scale. Assuming that the population standard deviations are the same in both cases, what are the degrees of freedom that you would use on a t table? New DrugPlacebo Mean 8.810.7 Stan. Dev. 2.33.1 Sample Size 2025

26. Copyright © 2013 Pearson Education, Inc. 10.13 A medical researcher was testing to see if a new prescription anti-inflammatory drug helped more than a placebo to reduce swelling after shoulder injury. A week after injury, the amount of swelling was scored on a 1 to 20 point scale. A “20” is considered a high amount of swelling. Assuming that the population standard deviations are the same in both cases, what would be the conclusion for this test at ? a) Reject b) Fail to Reject c) Reject d) Fail to Reject New DrugPlacebo Mean 8.810.7 Stan. Dev. 2.33.1 Sample Size 2025

27. Copyright © 2013 Pearson Education, Inc. a) Reject b) Fail to Reject c) Reject d) Fail to Reject 10.13 A medical researcher was testing to see if a new prescription anti-inflammatory drug helped more than a placebo to reduce swelling after shoulder injury. A week after injury, the amount of swelling was scored on a 1 to 20 point scale. A “20” is considered a high amount of swelling. Assuming that the population standard deviations are the same in both cases, what would be the conclusion for this test at ? New DrugPlacebo Mean 8.810.7 Stan. Dev. 2.33.1 Sample Size 2025

28. Copyright © 2013 Pearson Education, Inc. 10.14 A research study took a sample of car accidents on I-95 in Florida. It recorded that 75 out of 100 car accidents were fatal when the driver was talking on a cell phone (1), whereas 60 out of 200 car accidents were fatal when the driver was not talking on a cell phone (2). What is the relative risk? a) 0 b) 0.80 c) 1.25 d) 2.5 e) None of the above

29. Copyright © 2013 Pearson Education, Inc. 10.14 A research study took a sample of car accidents on I-95 in Florida. It recorded that 75 out of 100 car accidents were fatal when the driver was talking on a cell phone (1), whereas 60 out of 200 car accidents were fatal when the driver was not talking on a cell phone (2). What is the relative risk? a) 0 b) 0.80 c) 1.25 d) 2.5 e) None of the above

30. Copyright © 2013 Pearson Education, Inc. 10.15 In 2000 the GSS asked men and women how many hours a week they spent using a home computer to pay bills, shop online or do other household tasks. Assuming that the population standard deviations are equal, what would be the p-value for the test of the alternative hypothesis ? MenWomen Mean0.710.43 Standard Deviation 1.430.98 Sample Size149161 a)0.022 b)0.044 c)0.230 d)0.460

31. Copyright © 2013 Pearson Education, Inc. a)0.022 b)0.044 c)0.230 d)0.460 10.15 In 2000 the GSS asked men and women how many hours a week they spent using a home computer to pay bills, shop online or do other household tasks. Assuming that the population standard deviations are equal, what would be the p-value for the test of the alternative hypothesis ? MenWomen Mean0.710.43 Standard Deviation 1.430.98 Sample Size149161

32. Copyright © 2013 Pearson Education, Inc. 10.16 Are people equally footed? Can they stand on their “right leg only” for a longer period of time than they can stand on their “left leg only”? Twenty people were timed standing on their “right leg only” and “left leg only”. This an example of… a) comparing proportions from independent samples. b) comparing proportions from dependent samples. c) comparing means from independent samples. d) comparing means from dependent samples.

33. Copyright © 2013 Pearson Education, Inc. 10.16 Are people equally footed? Can they stand on their “right leg only” for a longer period of time than they can stand on their “left leg only”? Twenty people were timed standing on their “right leg only” and “left leg only”. This an example of… a) comparing proportions from independent samples. b) comparing proportions from dependent samples. c) comparing means from independent samples. d) comparing means from dependent samples.

34. Copyright © 2013 Pearson Education, Inc. 10.17 Do people drive faster if they listen to loud music? Three people drove to work one day with no music and another day with loud music. Their speed was recorded on an open space of road and the data is listed below. Find the test statistic. (Use Loud Music– No Music) a) 0.67 b) -0.67 c) 0.225 d) 0.075 e) None of the above Loud MusicNo Music Driver 13530 Driver 23230 Driver 32530

35. Copyright © 2013 Pearson Education, Inc. a) 0.67 b) -0.67 c) 0.225 d) 0.075 e) None of the above 10.17 Do people drive faster if they listen to loud music? Three people drove to work one day with no music and another day with loud music. Their speed was recorded on an open space of road and the data is listed below. Find the test statistic. (Use Loud Music– No Music) Loud MusicNo Music Driver 13530 Driver 23230 Driver 32530

36. Copyright © 2013 Pearson Education, Inc. 10.18 Do people drive faster if they listen to loud music? Three people drove to work one day with no music and another day with loud music. Their speed was recorded on an open space of road and the data is listed below. Find the t score that would be used in a 95% confidence interval. a) 1.96 b) 2.576 c) 3.182 d) 4.303 e) None of the above Loud MusicNo Music Driver 13530 Driver 23230 Driver 32530

37. Copyright © 2013 Pearson Education, Inc. a) 1.96 b) 2.576 c) 3.182 d) 4.303 e) None of the above 10.18 Do people drive faster if they listen to loud music? Three people drove to work one day with no music and another day with loud music. Their speed was recorded on an open space of road and the data is listed below. Find the t score that would be used in a 95% confidence interval. Loud MusicNo Music Driver 13530 Driver 23230 Driver 32530

38. Copyright © 2013 Pearson Education, Inc. 10.19 Does a new diet plan help people lose weight? Twenty people were weighed before starting a 3-month diet program and again after they completed the program. The change in weight was found by taking, before weight minus after weight. If the test statistic was 3.45 what is the correct conclusion? a) We have strong statistically significant evidence to show that the population mean weight loss was greater than zero. b) We have moderate statistically significant evidence to show that the population mean weight loss was greater than zero. c) We do not have statistically significant evidence that the population mean weight loss was less than zero.

39. Copyright © 2013 Pearson Education, Inc. a) We have strong statistically significant evidence to show that the population mean weight loss was greater than zero. b) We have moderate statistically significant evidence to show that the population mean weight loss was greater than zero. c) We do not have statistically significant evidence that the population mean weight loss was less than zero. 10.19 Does a new diet plan help people lose weight? Twenty people were weighed before starting a 3-month diet program and again after they completed the program. The change in weight was found by taking, before weight minus after weight. If the test statistic was 3.45 what is the correct conclusion?

40. Copyright © 2013 Pearson Education, Inc. 10.20 A study was done to see whether college students views on the environment changed over the course of their college career. Two hundred students were asked as freshman and later after they graduated if, “yes”, enough is being done to protect the environment or, “no”, enough is not being done to protect the environment. Find the test statistic for McNemar’s Test to compare the proportion that say enough is being done before and after college by using the data below. a) 0.41 b) 0.45 c) 1.28 d) 3.37 After Graduating Yes, enough is being done. No, enough is not being done As a Freshman Yes, enough is being done. 7540 No, enough is not being done. 1580

41. Copyright © 2013 Pearson Education, Inc. 10.20 A study was done to see whether college students views on the environment changed over the course of their college career. Two hundred students were asked as freshman and later after they graduated if, “yes”, enough is being done to protect the environment or, “no”, enough is not being done to protect the environment. Find the test statistic for McNemar’s Test to compare the proportion that say enough is being done before and after college by using the data below. a) 0.41 b) 0.45 c) 1.28 d) 3.37

42. Copyright © 2013 Pearson Education, Inc. 10.21 A local grocery chain looked at the relationship between the number of bifocals ordered at their stores and the location of their stores. They found that many more prescription glasses were purchased in the northeastern section of town. They decided to look further into the situation by breaking the data into different age categories. Age is what type of variable? a) Response variable b) Explanatory variable c) Experimental control variable d) Statistical control variable

43. Copyright © 2013 Pearson Education, Inc. 10.21 A local grocery chain looked at the relationship between the number of bifocals ordered at their stores and the location of their stores. They found that many more prescription glasses were purchased in the northeastern section of town. They decided to look further into the situation by breaking the data into different age categories. Age is what type of variable? a) Response variable b) Explanatory variable c) Experimental control variable d) Statistical control variable

44. Copyright © 2013 Pearson Education, Inc. 10.22 A medical doctor is doing a test to see if a new type of medication will help prevent reoccurrence of breast cancer better than the current standard drug. He knows that patients with the breast cancer gene have a higher likelihood of reoccurrence so he also records whether his patients have the gene or not. What type of variable is “presence of the breast cancer gene”? a) Response variable b) Explanatory variable c) Experimental control variable d) Statistical control variable

45. Copyright © 2013 Pearson Education, Inc. 10.22 A medical doctor is doing a test to see if a new type of medication will help prevent reoccurrence of breast cancer better than the current standard drug. He knows that patients with the breast cancer gene have a higher likelihood of reoccurrence so he also records whether his patients have the gene or not. What type of variable is “presence of the breast cancer gene”? a) Response variable b) Explanatory variable c) Experimental control variable d) Statistical control variable

46. Copyright © 2013 Pearson Education, Inc. 10.23 A scientist was conducting an experiment to create a special type of crystal. He used different temperatures to determine what type of temperature created a stronger crystal. He made sure that the humidity in the room was the same for all crystals. What type of variable is humidity in the room? a) Response Variable b) Explanatory Variable c) Experimental control variable d) Statistical control variable

47. Copyright © 2013 Pearson Education, Inc. 10.23 A scientist was conducting an experiment to create a special type of crystal. He used different temperatures to determine what type of temperature created a stronger crystal. He made sure that the humidity in the room was the same for all crystals. What type of variable is humidity in the room? a) Response Variable b) Explanatory Variable c) Experimental control variable d) Statistical control variable

48. Copyright © 2013 Pearson Education, Inc. 10.24 A school district published the average salary of its employees by sex and type of school. Who was paid better overall? If you look at the type of schools, who was paid better? Sex High School Middle School Elementary School Overall Male32,33326,70025,16728,786 Female34,25027,18025,58328,427 a)Men were paid better overall, but women were paid better if you look at the type of schools. b) Women were paid better overall, but men were paid better if you look at the type of schools. c) Men were paid better in both situations. d) Women were paid better in both situations.

49. Copyright © 2013 Pearson Education, Inc. 10.24 A school district published the average salary of its employees by sex and type of school. Who was paid better overall? If you look at the type of schools, who was paid better? Sex High School Middle School Elementary School Overall Male32,33326,70025,16728,786 Female34,25027,18025,58328,427 a)Men were paid better overall, but women were paid better if you look at the type of schools. b) Women were paid better overall, but men were paid better if you look at the type of schools. c) Men were paid better in both situations. d) Women were paid better in both situations.

50. Copyright © 2013 Pearson Education, Inc. 10.25 A school district published the average salary of its employees by sex and type of school. This chart is an example of… SexHigh School Middle School Elementary School Overall Male32,33326,70025,16728,786 Female34,25027,18025,58328,427 a) misuse of cause and effect. b) extrapolation. c) simpson’s paradox. d) a bad experiment. e) none of the above.

51. Copyright © 2013 Pearson Education, Inc. 10.25 A school district published the average salary of its employees by sex and type of school. This chart is an example of… SexHigh School Middle School Elementary School Overall Male32,33326,70025,16728,786 Female34,25027,18025,58328,427 a) misuse of cause and effect. b) extrapolation. c) simpson’s paradox. d) a bad experiment. e) none of the above.