A sample of 23 information system managers had an average hourly income of $40.75 with a standard deviation of $7.00.
Develop a 95% confidence interval estimate for the average hourly wage of all information system managers.
a. Critical value for the confidence interval =
b. At 95% confidence, what is the margin of error
c. upper and lower limit
A sample of 23 information system managers had an average hourly income of $40.75 with a...
A sample of 100 information systems managers had an average hourly income of $40.00 with a standard deviation of $8.00. The value of the margin of error at 95% confidence is a. 1.568. b. 8. C. 80. d. .10.
QUESTION 23 A sample of 100 information systems managers had an average hourly income of $40.00 with a standard deviation of $8.00. The standard error of the mean is a. 80. b..8. C. .08. d. 8.
The average selling price of a smartphone purchased by a random sample of 43 customers was $315. Assume the population standard deviation was $34. a. Construct a 95% confidence interval to estimate the average selling price in the population with this sample. b. What is the margin of error for this interval? a. The 95% confidence interval has a lower limit of and an upper limit of. (Round to the nearest cent as needed.) b. The margin of error is....
find a. the 95% confidence interval has s lower limit of $____ and an upper limit of $_____ find b. what is the margin of error for this interval? 8.2. TU-1 Question Help Hor The average selling price of a smartphone purchased by a random sample of 31 customers was $299. Assume the population standard deviation was $32 a. Construct a 95% confidence interval to estimate the average selling price in the population with this sample. b. What is the...
In a random sample of 18 senior-level chemical engineers, the mean annual earnings was 128000 and the standard deviation was 35440. Assume the annual earnings are normally distributed and construct a 95% confidence interval for the population mean annual earnings for senior-level chemical engineers 1. critical value 2. standard error of the sample mean 3. margin of error 4. lower limit of the interval 5. upper limit of the interval
In a random sample of 16 senior-level chemical engineers, the mean annual earnings was 120250 and the standard deviation was 34700. Assume the annual earnings are normally distributed and construct a 95% confidence interval for the population mean annual earnings for senior-level chemical engineers. 1. The critical value: 2. The standard error of the sample mean: 3. The margin of error: 4. The lower limit of the interval: 5. The upper limit of the interval:
An SRS of 55 lawyers from Reno, Nevada had a mean hourly salary of x= $310 and standard deviation s- $75 a. construct a 95% confidence interval for the mean hourly salary of all Reno lawyers b.find the margin of error in part a c. how large a sample would be necessary to have a margin of error of $25 with a 95% confidence level?
9. Data for problems 9-14 Shelley, the director of Kent hospital wants to estimate the average number of people who are admitted to the emergency room during a 24-hour period. She randomly selects 15 different days and determined the number of admissions for each . for this sample, the average number of admissions per day is 19.0 with standard deviation of 5.0. she wants to find the 95% confidence interval for the average number of admissions per 24-hour period. What...
Q4) A national air traffic control system handled an average of 47,665 flights during 29 randomly selected days in a recent year. The standard deviation for this sample is 6,208 flights per day. Complete parts a through c below. a. Construct a 99% confidence interval to estimate the average number of flights per day handled by the system. The 99% confidence interval to estimate the average number of flights per day handled by the system is from a lower limit...
Suppose the math department chair at a large state university wants to estimate the average overall rating, out of five points, that students taking Introductory Statistics gave their lecturers on their end-of-term evaluations. She selects a random sample of 32 evaluations and records the summary statistics shown. Sample size Sample mean Sample standard deviation Population standard deviation Standard error Confidence level ? ?⎯⎯⎯ ? ? ??⎯⎯⎯⎯ ? 32 3.9102 1.0809 1.0213 0.1805 95% The department chair determines the standard error...