NOTE: Use t-distribution, when n is less than 30, or ? unknown or both cases happen. 1. When a 99% confidence interval is calculated instead of a 95% confidence interval with n being the same, the maximum error of estimate will be (a) Smaller (b) larger (c) the same (d) it cannot be determined 2. A random sample of 49 shoppers showed that they spend an average of $23.45 per visit at a mall bookstore. The standard deviation of the population is $2.80. Find the 90% confidence interval of the true mean. Solution:n= 49, 𝑥̅ =23.45, 𝜎 90% CI for the mean ( known) = 𝑥̅ ± 𝑧(𝛼⁄2) 𝑛 √ z(/2)=z(0.05)=1.645 Answer: 23.45 ± 1.645 2.8 √49 = (22.792,24.108) 3. The average weigh of 40 randomly minivans was 4150 pounds. The standard deviation was 480 pounds. Find the 99% confidence interval of the true mean weight of the minivans. Solution:n= 40, 𝑥̅ =4150, s 99% CI for the mean ( unknown) = 𝑥̅ ± 𝑡(𝛼⁄2 , 𝑛 − 1) 𝑠 √𝑛 t(/2,n-1)=t(0.005,39)=2.708 Answer: 4150 ± 2.708 480 √40 = (3944.477, 4355.523) 4. In a study of 10 insurance sales representatives from a certain large city, the average age of the group was 48.6 years and the standard deviation was 4.1 years. Find the 95% confidence interval of the population mean age of all insurance sales representatives in that city. Solution:n= 10, 𝑥̅ =48.6, s 95% CI for the mean ( unknown) = 𝑥̅ ± 𝑡(𝛼⁄2 , 𝑛 − 1) 𝑠 √𝑛 t(/2,n-1)=t(0.025,9)=2.262 Answer: 48.6 ± 2.262 4.1 √9 = (45.667, 51.533) 5. In a hospital, a sample of 8 weeks was selected, and it was found that an average of 438 patients was treated in the emergency room each week. The standard deviation was 16. Find the 99% confidence interval of the true mean. Solution:n= 8, 𝑥̅ =438, s 99% CI for the mean ( unknown) = 𝑥̅ ± 𝑡(𝛼⁄2 , 𝑛 − 1) 𝑠 √𝑛 t(/2,n-1)=t(0.005,7)=3.499 Answer: 438 ± 3.499 16 √8 = (418.207, 457.793) 6. A university dean wishes to estimate the average number of hours that the freshmen study each week. The standard deviation from a previous study is 2.6 hours. How large a sample must be selected if he wants to be 99% confident of finding whether the true mean differs from a sample mean by 0.5 hour? Solution: 𝜎 2.6 Maximum error of estímate = 𝑧(𝛼⁄2) 𝑛 = 𝑧(0.005) 𝑛 = 0.5 √ √ z(0.005)=2.576 2.576 2.6 √𝑛 = 0.5 → √𝑛 = 2.576 2.6 2.6 2 → 𝑛 = (2.576 ) = 179.4 0.5 0.5 Answer: we need a simple size of 180 7. A recent study of 75 workers found that 53 people rode the bus to work each day. Find the 95% confidence interval of the proportion of all workers who rode the bus to work. 𝑥 Solution: n= 75, x=53, 𝑝̂ = 𝑛 = 53/75, =1-0.95=0.05 𝑝̂(1−𝑝̂) 𝑛 Ci at 95% for proportion is: 𝑝̅ ± 𝑧(𝛼⁄2)√ z(a/2)=z(0.025)=1.96 53/75(1−53/75) 75 Answer: 53/75 ± 1.96√ = (0.604, 0.81) 8. In a study of 150 accidents that required treatment in an emergency room, 36% involved children under 6 years of age. Find the 90% confidence interval of the true proportion of accidents that involve children under the age of 6. Solution: n= 150, 𝑝̂ = 0.36, =1-0.9=0.1 𝑝̂(1−𝑝̂) 𝑛 Ci at 90% for proportion is: 𝑝̅ ± 𝑧(𝛼⁄2)√ z(a/2)=z(0.05)=1.645 0.36(1−0.36) 150 Answer: 0.36 ± 1.645√ = (0.296, 0.424) 9. In a survey of 1004 individuals, 442 felt that President Barack Obama spent too much time away from Washington. Find a 95% confidence interval for the true proportion. Solution: n= 1004, x=442, 𝑝̂ = 𝑥 𝑛 = 442/1004, =1-0.95=0.05 𝑝̂(1−𝑝̂) 𝑛 Ci at 95% for proportion is: 𝑝̅ ± 𝑧(𝛼⁄2)√ z(a/2)=z(0.025)=1.96 442/1004(1−442/1004) 1004 Answer: 442/1004 ± 1.96√ = (0.41, 0.471) 10. The data below represent children’s animated film lengths in minutes. Estimate the true length of all children’s animated films with 95% confidence. 93 83 76 92 77 81 78 100 78 76 75 Solution:n= 11, 𝑥̅ =82.636, s 95% CI for the mean ( unknown) = 𝑥̅ ± 𝑡(𝛼⁄2 , 𝑛 − 1) t(/2,n-1)=t(0.025,10)=2.228 Answer: 82.636 ± 2.228 8.489 √11 = (77.933, 88.339) 𝑠 √𝑛