NO AGE - SEX:- PROGRAMME- Hours spent study GPA 23 Male BB05 4 3.67 2 21 Female ВвO8 ЗА 2 3.90 22 Female BB02 4 3.28 4 23 Male BB05 3 3.29 23 Male BB05 4 3.32 22 Female BB05 4 3.89 HOURS GPA 21 Female BB08 3A 3.86 TOTAL CGPA/HOURS MALE 51 53.61 8 23 Male BB05 4 3.73 TOTAL NO OF MALE STUDENTS 15 15 Female Male 23 BB05 4 3.47 MEAN MALE 3.40 3.57 10 23 BB05 3.23 11 21 Female Вво8 ЗА 4 3.80 TOTAL CGPA/HOURS FEMALE 86 62.92 12 20 Female BB04 2 3.45 TOTAL NO OF FEMALE STUDENTS 17 17 13 24 Male BB08 3A 3.20 MEAN FEMALE 5.0588 3.7012 14 27 Female ввов ЗА 7 3.91 15 21 Male BB08 3A 3.85 16 22 Female BB08 3A 3 3.66 STANDARD DEVIATION MALE 1.6388 0.2237 17 23 Female BB05 3 3.75 STANDARD DEVIATION FEMALE 3.0305 0.2079 18 22 Male ВB08 ЗА 2 3.67 19 23 Male BB08 3A 6. 3.88 20 21 Female BB08 3A 3.91 21 21 Female Вво8 ЗА 3.29 22 23 Male ВB08 ЗА 4 3.81 23 22 Male Вво8 ЗА 3.65 24 22 Male BB08 3A 2 3.70 25 24 Female BB04 8 3.67 26 20 Female BB04 12 3.77 27 24 Male BB08 3B 6 3.56 28 22 Female BB08 3B 4 3.71 29 24 Male BB08 3B 6 3.56 30 29 Male BB08 3B 2 3.49 31 20 Female BB04 12 3.77 32 21 Female BB08 3B 3.83

NO AGE - SEX:- PROGRAMME- Hours spent study GPA 23 Male BB05 4 3.67 2 21 Female ВвO8 ЗА 2 3.90 22 Female BB02 4 3.28 4 23 Male BB05 3 3.29 23 Male BB05 4 3.32 22 Female BB05 4 3.89 HOURS GPA 21 Female BB08 3A 3.86 TOTAL CGPA/HOURS MALE 51 53.61 8 23 Male BB05 4 3.73 TOTAL NO OF MALE STUDENTS 15 15 Female Male 23 BB05 4 3.47 MEAN MALE 3.40 3.57 10 23 BB05 3.23 11 21 Female Вво8 ЗА 4 3.80 TOTAL CGPA/HOURS FEMALE 86 62.92 12 20 Female BB04 2 3.45 TOTAL NO OF FEMALE STUDENTS 17 17 13 24 Male BB08 3A 3.20 MEAN FEMALE 5.0588 3.7012 14 27 Female ввов ЗА 7 3.91 15 21 Male BB08 3A 3.85 16 22 Female BB08 3A 3 3.66 STANDARD DEVIATION MALE 1.6388 0.2237 17 23 Female BB05 3 3.75 STANDARD DEVIATION FEMALE 3.0305 0.2079 18 22 Male ВB08 ЗА 2 3.67 19 23 Male BB08 3A 6. 3.88 20 21 Female BB08 3A 3.91 21 21 Female Вво8 ЗА 3.29 22 23 Male ВB08 ЗА 4 3.81 23 22 Male Вво8 ЗА 3.65 24 22 Male BB08 3A 2 3.70 25 24 Female BB04 8 3.67 26 20 Female BB04 12 3.77 27 24 Male BB08 3B 6 3.56 28 22 Female BB08 3B 4 3.71 29 24 Male BB08 3B 6 3.56 30 29 Male BB08 3B 2 3.49 31 20 Female BB04 12 3.77 32 21 Female BB08 3B 3.83

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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Do well-rounded people get fewer colds? A study on the Chronicle of Higher Education was conducted by scientist at Carnegie Mellon University, the University of Pittsburgh and the University of Virginia. They found that people who have only a few social outlets get more colds than those who are involved in a variety of social activities. Suppose that of the 276 healthy men and women tested, n1=96 had only a few social outlets and n2=105 were busy with six or more activities. When these people were exposed to a cold virus, the following results were observed: Construct a 99% confidence interval for the difference in the two population proportions.
The University is considering changing the email system that they currently use. Since there are substantial learning costs associated with any new software, the University only wants to change to the new system if it is very confident that there is at least a 20% difference in the proportion of faculty and staff who say they like the new system. In a sample of 120 users of the current system, the University finds that 65 say they like the current system. In another sample of 90 experimental users of the “new” system, the University finds that 70 of them like the new system. When testing the hypothesis (using a 5% level of significance) that there is at least a 20% difference in the proportion of users who like the two systems, the p-value is .2943; what is your conclusion concerning the null hypothesis? Reject the null hypothesis Fail to reject the null hypothesis
The University is considering changing the email system that they currently use. Since there are substantial learning costs associated with any new software, the University only wants to change to the new system if it is very confident that there is at least a 20% difference in the proportion of faculty and staff who say they like the new system. In a sample of 139 users of the current system, the University finds that 66 say they like the current system. In another sample of 92 experimental users of the “new” system, the University finds that 73 of them like the new system. When testing the hypothesis (using a 5% level of significance) that there is at least a 20% difference in the proportion of users who like the two systems, what is the test statistic? (please round your answer to 2 decimal places)
The University is considering changing the email system that they currently use. Since there are substantial learning costs associated with any new software, the University only wants to change to the new system if it is very confident that there is at least a 20% difference in the proportion of faculty and staff who say they like the new system. In a sample of 140 users of the current system, the University finds that 75 say they like the current system. In another sample of 85 experimental users of the “new” system, the University finds that 72 of them like the new system. When testing the hypothesis (using a 5% level of significance) that there is at least a 20% difference in the proportion of users who like the two systems, what is the null and alternative hypothesis?
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