Section 81 Pg. 410 Exercises 12,13


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1 Section 8 Pg. 4 Exercises 2,3 2. Using the z table, find the critical value for each. a) α=.5, twotailed test, answer: .96,.96 b) α=., lefttailed test, answer: 2.33, 2.33 c) α=.5, righttailed test, answer: 2.58 d) α=., righttailed test, answer: 2.33 e) α=.5, left tailed test, answer: .65 f) α=.2, left tailed test, answer: 2.5 g) α =.5, right tailed test, answer:.65 h) α=., two tailed test, answer: i) α=.4, left tailed test, answer: .75 j) α=.2, right tailed test, answer: For each conjecture, state the null and alternative hypothesis. a) The average age of community college student is 24.6 years. Answer: : µ=24.6 and : µ 24.6 b) The average income of accountant is $5,497. Answer: : µ=$5,497 and : µ $5,497 c) The average age of attorney is greater than 25.4 years. Answer: : µ=25.4 and : µ>25.4 d) The average score of 5 high school basketball games is less than 88. Answer: : µ=88 and : µ<88 e) The average pulse rate of male marathon runners is less than 7 beats per minute. Answer: : µ=7 and : µ<7 f) The average cost of DVD player is $79.95 Answer: : µ=$79.95 and : µ $79.95
2 g) The average weight loss for sample of people who exercise 3 minutes per day for 6 weeks is 8.2 pounds. Answer: : µ=8.2 and : µ 8.2 Section 82 Pg. 42 Exercises 5, 6, 7, 5, 9, 2, 2, ealth Care Expenses The mean annual expenditure per 25 to 34yearold consumer for health care is $468. This includes health insurance, medical services, and drugs and medical supplies. Students at a large university took a survey, and it was found that for a sample of 6 students, the mean health care expense was $52, and the population standard deviation is $98. Is there sufficient evidence at α =. to conclude that their health care expenditure differs from the national average of $468? Is the conclusion different at α =.5? : µ = 468 : µ 468 (claim) (a twotailed test) n= 6 X = 52 s = 98 α =. CV.../ 2 =.5,.5 =.995, then look upin the bodyof Table E zcv = test value : z = = = 2.3 s n 98 6 Do not reject at α =.. There is not enough evidence to support the claim that average expenditure differs from $468. If α =.5, C.V=.96. Therefore reject at α = Peanut Production in Virginia. The average production of peanuts in the state of Virginia is 3 pounds per acre. A new plan food has been developed and is tested on 6 individual plots of land. The mean yield with the new plant food is 32 pounds of peanuts per acre with a standard deviation of 578 pounds. At α=.5, can one conclude that the average production has increased? : µ = 3 : µ > 3 (claim) (a righttailed test) n= 6 X = 32 s = 578 α =.5 CV...5 =.95 thenlook upinthebody of Table E zcv = test value : z = = =.6 s n Since the test value does not fall within the critical region, we don t reject the null hypothesis. Therefore, there is not enough evidence to support the claim that the average production of peanuts in the state of Virginia has increased.
3 7. eights of YearOlds The average yearold (both genders) is 29 inches tall. A random sample of 3 oneyearolds in a large daycare franchise resulted in the following heights. At α =.5, can it be concluded that the average height differs from 29 inches? : µ = 29 : µ 29 (claim) (a two tailed test) n= 3 X = s = 2.6 α =.5 CV.. zcv = ± test value : z = = =.944 s n Do not reject the null hypothesis. There is enough evidence to reject the claim that the average height differs from 29 inches. 5) State whether the null hypothesis should be rejected on the basis of the given Pvalue. a) Pvalue=.258, α=.5, one tailed test If Pvalue α, reject the null hypothesis. Since.258 >.5, do not reject. b) Pvalue=.684, α=., two tailed test Since (.684)., reject. c) Pvalue=.53, α=., one tailed test Since.53 >., do not reject. d) Pvalue=.232, α=.5, two tailed test Since.232.5, reject. e) Pvalue=.2, α=., one tailed test Since.2., reject. 9) Burning Calories by playing tennis. A health researcher read that a 2pound male can burn an average of 546 calories per hour playing tennis. Thirtysix males were randomly selected and tested. The
4 mean of the number of calories burned per hour was Test the claim that the average number of calories burned is actually less than 546, and find the Pvalue. On the basis of the Pvalue, should the null hypothesis be rejected at α=.? The standard deviation of the sample is 3. Can it be concluded that the average number of calories burned is less than originally thought? : µ = 546 : µ < 546 (claim) (a left tailed test) n= 36 X = s = 3 α = z = = = 2.4 s n T.V=2.4 Look up table E and find the area that corresponds to z=2.4 The area corresponding to z= 2.4 is.82. Thus Pvalue is.82. Since.82 <., we reject. Therefore, there is enough evidence to support the claim that the average number of calories burned per hours is less than ) Breaking Strength of Cable. A special cable has a breaking strength of 8 pounds. The standard deviation of the population is 2 pounds. A researcher selects a sample of 2 cables and finds the average breaking strength is 793 pounds. Can one reject the claim that the breaking strength is 8 pounds? Find the Pvalue. Should the null hypothesis be rejected at α=.? Assume that the variable is normally distributed. : µ = 8 (claim) : µ 8 (a two tailed test) n= 2 X = 793 σ = 2 α = z = = 2.6 σ n T.V=2.6 Look up in table E for the area corresponding to the z = The corresponding area is.45. Since this is a two tail test, Pvalue is 2(.45) =.9. Since.9 <., we reject the null hypothesis. Thus, there is enough evidence to reject the claim that the breaking strength is 8 pounds. 2) Farm Size. The average farm size in the United States is 444 acres. A random sample of 4 farms in Oregon indicated a mean size of 43 acres, and the population standard deviation is 52 acres. At α =.5, can it be concluded that the average farm in Oregon differs from the national mean? Use the Pvalue method.
5 : µ = 444 : µ 444 (claim) (a two tailed test) n= 4 X = 43 s = 52 α = z = =.7 s n T.V=.7 Look up in table E for the area corresponding to the z = .7. The corresponding area is.446. Since this is a two tail test, Pvalue is 2(. 446) =.892. Is.892 <.5? No. Since Pvalue is not less than or equal to α, we do not reject the null hypothesis. Therefore, there is not enough evidence to support the claim that the mean differs from ) Sick Days A manager states that in his factory, the average number of days per year missed by the employees due to illness is less than the national average of. The following data show the number of days missed by 4 employees last year. Is there sufficient evidence to believe the manager statement at α=.5? Use the Pvalue method : µ = : µ < (claim) (aleft tailed test) n= 4 X = 5.25 s 3.63 α = z = = 8.67 s n Use table E to look up the area that corresponds to the z value of 8.67which is.. Thus Pvalue is... T.V=8.67 Since. <.5, reject the null hypothesis. ence, there is enough evidence to support the claim that the average number of days per year missed by the employees due to illness is less than the national average of days.
6 Pg. 432 Exercises 83 4(af), 5, 6, 9,,7 Use the Pvalue Approach 4. Using Table F, find the Pvalue interval for each test value. a) t = 2.32, n=5, righttailed d.f. = n=5=4.<pvalue<.25 b) t =.945, n=28, twotailed d.f. =n=28=27.5<pvalue<. c) t = .267, n=8, lefttailed d.f. =n=8=7.<pvalue<.25 d) t =.562, n=7, twotailed d.f. =n=7=6.<pvalue<.2 e) t = 3.25, n=24, righttailed d.f. =n=24=23 Pvalue<.5 f) t = .45, n=5, left tai7led d.f. =n=5=4.<pvalue<.25 Use the traditional method of hypothesis testing unless otherwise specified. Assume that the population is approximately normally distributed.
7 5. Veterinary Expenses of Cat Owners According to the American Pet Products Manufacturers Association, cat owners spend an average of $79 annually in routine veterinary visits. A random sample of local cat owners revealed that randomly selected owners spent an average of $25 with s _ $26. Is there a significant statistical difference at a α =.? Traditional Method n=, X = 25, s = 26 α =., df.. = 9 : µ = 79 : µ 79 (claim) (a twotailed test) CV.. ± t = = = 3.62 s/ n 26 / Do not reject the null hypothesis since the test value does not fall within the critical region. There is not enough evidence to support the claim that the average expense is $79. Is P value α? NO, do not reject the null hypothesis since the Pvalue is not less than or equal to α =.. There is not enough evidence to support the claim that the average expense is $ Park Acreage A state executive claims that the average number of acres in western Pennsylvania state park is less than 2 acres. A random sample of five parks is selected, and the number of acres is shown. Atα =., is there enough evidence to support the claim?
8 Traditional method n= 5, X = 885.8, s = α =., df.. = 4 : µ = 2 : µ < 2 (claim) (a left tailed test) CV.. = t = = =.4 s/ n / 5 Do not reject the null hypothesis since the test value does not fall within the critical region. There is not enough evidence to support the claim that the average acreage is less than 2. Pvalue method n= 5, X = 885.8, s = α =., df.. = 4 : µ = 2 : µ < 2 (claim) (a left tailed test) t = = =.4 s/ n / 5 P value >. Is P value α? No, do not reject the null hypothesis since the Pvalue is not less than or equal to α =.. There is not enough evidence to support the claim that the average acreage is less than eights of Tall Buildings A researcher estimates that the average height of the buildings of 3 or more stories in a large city is at least 7 feet. A random sample of buildings is selected, and the heights in feet are shown. At α=.25, is there enough evidence to reject the claim?
9 Traditional method n=, X = 66.5, s = 9. α =.25, df.. = 9 : µ = 7 ( claim) : µ < 7 (a lefttail test) CV.. = t = = = 2.7 s/ n 9./ Reject the null hypothesis since the test value falls within the critical region. There is enough evidence to reject the claim that the average height of the buildings is at least 7 feet. Pvalue method n=, X = 66.5, s = 9. α =.25, df.. = 9 : µ = 7 ( claim) : µ < 7 (a lefttailed test) t = = = 2.7 s/ n 9./.< P value <.25 Reject the null hypothesis since Pvalue is less than or equal to α =.25. There is enough evidence to reject the claim that the average height of the buildings is at least 7 feet.. Cost of College The average undergraduate cost for tuition, fees, and room and board for two year institutions last year was $3,252. The following year, a random sample of 2 twoyear institutions had a mean of $5,56 and a standard deviation of $35. Is there sufficient evidence at the α =. level to conclude that the mean cost has increased? Traditional method n= 2, X = $5,56, s = $3,5 α =., df.. = 9 : µ = 3252 : µ > 3252 (claim) (a righttailed test) CV. = t = = = s/ n 35 / 2
10 Reject the null hypothesis since the test value falls within the critical region. There is sufficient evidence to support the claim that the average tuition cost has increased. Pvalue method n= 2, X = $5,56, s = $3,5 α =., df.. = 9 : µ = 3252 : µ > 3252 ( claim) right tail test t = = = s/ n 35 / 2 P value <.5 Is P value α? Is.5.? Yes! Therefore, we reject the null hypothesis. There is sufficient evidence to support the claim that the average tuition cost has increased. 7. Doctor Visits A report by the Gallup Poll stated that on average a woman visits her physician 5.8 times a year. A researcher randomly selects 2 women and obtained these data Atα =.5, can it be concluded that the average is still 5.8 visits per year? n= 2, X = 3.85, s = 2.59 α =.5, df.. = 9 : µ = 5.8 : µ 5.8 ( claim) (a twotailed test) t = = = 3.46 s/ n 2.59 / 2 P value <. Is P value α?..5? yes, then we reject the null hypothesis. There is enough evidence to support the claim that the mean is not 5.8. Section 84 P44 #3, 6, 7, 9. (Use Pvalue method) 3) After school Snacks. In the Journal of the American Dietetic Association, it was reported that 54% of kids said that they had a snack after school. Test the claim that a random sample of 6 kids was selected
11 and 36 said that they had a snack after school Use α=. and the pvalue method. On the basis of the results, should parents be concerned about their children eating a healthy snack? P=.54, n=6, x=36, α=., x 36 pˆ = = =.6 n 6 q=p, q=.54, q=.46 o: p=.54(claim) : p.54 A twotailed test. pˆ p.6.54 z = = =.93. pq (.54)(.46) n 6 Find the area that corresponds to z=.93 in the Etable. The area is Since this is a two tail test, the Pvalue is 2( )= Then compare P(value) with α >.. Since the P(value) is not less than or equal to α, we do not reject the null hypothesis. There is enough evidence to support the claim that 54% of children have snacks after school. Yes, healthy snacks should be monitor by their parents. 6) Credit Card Usage. For certain year a study reports that the percentage of college students using credit cards was 83%. A college dean of student services feels that this is too high for her university, so she randomly selects 5 students and finds that 4 of them use credit cards. At α=.4, is she correct about her university? P=.83, n=5, x=4, α=.4, x 4 pˆ = = =.8 n 5 q=p, q=.83, q=.7 o: p=.83 i: p<.83 (claim) A lefttested test. pˆ p.8.83 z = = =.56 pq (.83)(.7) n 5 Find the area that corresponds to z= .56 in the Etable. The area is.2877.
12 Thus, the P(value) is Then compare P(value) with α >.4. Since the P(value) is not less than or equal to α, we do not reject the null hypothesis. There is not enough evidence to support the claim that students who use credit cards are less than 83%. 7) Borrowing library Books. For American using library services, the American Library association (ALA)claims that 67% borrow books. A library director feels this is not true, so she randomly selects borrowers and finds that 82 borrowed books. Can he show that the ALA claims is incorrect? Use α=.5? P=.67, n=, x=82, α=.5, x 82 pˆ = = =.82 n q=p, q=.67, q=.33 o: p=.67 i: p.67(claim) A two tailed test. pˆ p z = = = 3.9 pq (.67)(.33) n Find the area that corresponds to z=3.9 in the Etable. The area is Now the P(value) is 2(.9993)=.4 Then compare P(value) with α..4 <.5. Since the P(value) is less than α, we reject the null hypothesis. There is enough evidence to support the claim that the percentage is not 67%. 9) Football Injuries. A report by the NCAA states that 57.6% of football injuries occur during practices. Ahead trainer claims that this is too high for his conference, so he randomly selects 36 injuries and finds that 7 occurred during practices. Is his claim correct, at α=.5? P=.576, n=36, x=7, α=.5, x 7 pˆ = = =.472 n 36 q=p, q=.576, q=.424 o: p=.576 i: p<.576 (claim) A left tailed test.
13 pˆ p z = = =.26 pq (.576)(.424) n 36 Find the area that corresponds to z= .26 in the Etable. The area is.38. Thus, the P(value) is.38. Then compare P(value) with α..38 >.5. Since the P(value) is not less than or equal to α, we do not reject the null hypothesis. There is not enough evidence to support the claim that the football injuries during practice is less than 57.6%.
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