### Lesson: 8.3 Estimating Population Means#### Question 1 of 10, Step 2 of 2**Scenario:**A supervisor records the repair cost for 25 randomly selected dryers. A sample mean of $93.36 and a standard deviation of $19.95 are subsequently computed. Determine the 98% confidence interval for the mean repair cost for the dryers. Assume the population is approximately normal.**Step 2 of 2:**Construct the 98% confidence interval. Round your answer to two decimal places.**Answer:**- **Lower endpoint:** [Text box for answer]- **Upper endpoint:** [Text box for answer]**Instructions:** How to enter your answer (opens in new window) Use the provided table and keypad if necessary. Shortcut keys are also available for ease of use.**Additional Information:**- Previous step answers can be reviewed. © 2021 Hawkes Learning**Graphical/Interactive Elements:**There are no graphs or diagrams included in this interface. The interface includes text fields for entering numerical answers and buttons for navigating or submitting responses.

We want to find the 08% CI for population mean (μ)

Answered: 1/19 Correct Question 1 of 10, Step 2…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3.43 A and B
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You may need to use the appropriate appendix table or technology to answer this question. Sales personnel for Skillings Distributors submit weekly reports listing the customer contacts made during the week. A sample of 68 weekly reports showed a sample mean of 17.5 customer contacts per week. The sample standard deviation was 5.2. Provide a 90% confidence interval for the population mean number of weekly customer contacts for the sales personnel. (Round your answers to two decimal places.) X contacts/week to contacts/week Provide 95% confidence interval for the population mean number of weekly customer contacts for the sales personnel. (Round your answers to two decimal places.) X contacts/week X contacts/week to
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