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…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section: Chapter Questions

Problem 9PT

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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.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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