stats
8.1 #1
| 8.1 #1 | ||||
| A simple random sample of 40 items resulted in a sample mean of 25. | ||||
| The population standard deviation is Ç =5. | ||||
| a) What is the standard error of the mean, | ? | |||
| b) At the 95% confidenc level, what is the margin of error? |
8.1 #2
| 8.1 #2 |
| A simple random sample of 60 items resulted in a sample mean of 80. |
| The population standard deviation is Ç =15. |
| a) Compute the 95% confidence interval for the population mean. |
| b) Assume the sample mean was obtained from a sample of 120 items. Provide a 95% confidence interval for the population mean. |
| c) What is the effect of a larger sample size on the interval estimate? |
8.1 #3
| 8.1 #3 |
| A survey of 35 restaurants in the Fast Food/Pizza group showed a sample mean customer satisfaction index of 71. |
| Past data indicate that the population standard deviation of the index has been relatively stable with Ç = 5. |
| a) At 99% confidence, what is the margin of error? |
| b) Construct the 99% confidence interval. |
8.2 #4
| 8.2 #4 |
| Find the t value(s) for each of the following cases. |
| a) Upper tail area of 0.025 with 12 degrees of freedom. |
| b) Lower tail area of 0.05 with 50 degrees of freedom. |
| c) Upper tail area of 0.01 with 30 degrees of freedom. |
| d) Where 90% of the area falls between these two t values with 25 degrees of freedom. |
8.2 #5
| 8.2 #5 |
| A simple random sample with n = 54 provided a sample mean of 22.5 and a sample standard deviation of 4.4. |
| a) Develop a 90% confidence interval for the population mean. |
| b) Develop a 99% confidence interval for the population mean. |
| c) What happens the to width of the confidence interval as the confidence level is increased? |
8.2 #6
| 8.2 #6 |
| The mean number of hours of flying time for pilots at Continental Airlines is 49 hours per month. |
| Assume this mean was based on actual flying times for a sample of 100 Continental pilots and |
| that the sample standard deviation was 8.5 hours. |
| a) At 95% confidence, what is the margin of error? |
| b) Construct the 99% confidence interval? |
8.3 #7
| 8.3 #7 |
| How large a sample should be selected to provide a 95% confidence interval with a margin of error of 10? |
| Assume that the population standard deviation is 40. |
8.3 #8
| 8.3 #8 |
| The average cost of a gallon of unleaded gasoline is $2.41. Assume the standard deviation is $.15 and suppose we |
| wish to report at the 95% confidence level. |
| What minimum sample size is needed if: |
| a) The desired margin of error is $0.07 |
| b) The desired margin of error is $.02 |
| c) What happens to the sample size as the margin of error is decreased? |
8.4 #9
| 8.4 #9 |
| A simple random sample of 800 elements generates a sample proportion of |
| a) Provide a 90% confidence interval for the population proportion. |
| b) Provide a 95% confidence interval for the population proportion. |
8.4 #10
| 8.4 #10 |
| At 95% confidence, how large a sample should be taken to obtain a margin of error of 0.3 |
| for the estimation of a population proportion? |
| a) Assume that past data are not available for developing a planning value for p*. |
| b) Assume that past data available reveals p* = 0.85. |
8.5 #11
| 8.4 #11 |
| A surprising number of motor vehicles are not covered by insurance. Sample results showed that 46 of 200 |
| vehicles were not covered by insurance. |
| a) What is the point estimate of the proportion of vehicles not covered by insurance? |
| b) Develop a 95% confidence interval for the population proportion. |