Answered: The Highway Safety Department wants to…

Name: 1) The Highway Safety Department wants to study the driving habits of
Uploaded: 2024-03-20T07:07:12.000Z
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Description: 1) The Highway Safety Department wants to study the driving habits of individuals. A sample of 121 cars traveling on the highway revealed an average speed of 60 miles per hour with a standard deviation of 11 miles per hour. Determine Lower Limit (LL)

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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1) The Highway Safety Department wants to study the driving habits of individuals. A sample of 121 cars traveling on the highway revealed an average speed of 60 miles per hour with a standard deviation of 11 miles per hour. Determine Lower Limit (LL) of 98.92% confidence interval estimate for the speed of all cars.

(Please use 2 decimal places for the answer)

2) The monthly starting salaries of students who receive an MBA degree have a population standard deviation of $125. What size sample should be selected to obtain a 0.95 probability of estimating the mean monthly income within $15 or less?

Below you are given ages that were obtained by taking a random sample of 9 undergraduate students. Assume the population has a normal distribution.

What is the Lower Limit of 98% confidence interval for the average age of undergraduate students.

(Please, use 1 decimal place for the answer)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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