An FDA representative randomly selects 10 packages of ground chuck from a grocery store and measures the fat content (as a percent) of each package. Assume that the fat contents have an approximately normal distribution. The resulting measurements are given below.Fat Contents (%)19121412161313141918 Step 1 of 2:Calculate the sample mean and the sample standard deviation of the fat contents. Round your answers to two decimal places, if necessary. Step 2 of 2:Construct a 90% confidence interval for the true mean fat content of all the packages of ground beef. Round the endpoints to two decimal places, if necessary.

Data : Fat contents : 19, 12, 14, 12, 16, 13, 13, 14, 19, 18Formula UsedSince the population…

Answered: Fat Contents (%) 19 12 14 12 16 13 13…

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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An FDA representative randomly selects 10 packages of ground chuck from a grocery store and measures the fat content (as a percent) of each package. Assume that the fat contents have an approximately normal distribution. The resulting measurements are given below.

Fat Contents (%)

19	12	14	12	16
13	13	14	19	18

Step 1 of 2:

Calculate the sample mean and the sample standard deviation of the fat contents. Round your answers to two decimal places, if necessary.

Step 2 of 2:

Construct a 90% confidence interval for the true mean fat content of all the packages of ground beef. Round the endpoints to two decimal places, if necessary.

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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