Answered: ndard deviation of 0.010 ounces. A case…

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 2GP

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Question

A machine that fills bottles with a beverage has a fill volume whose mean is 24.01 ounces, with a standard deviation of 0.010 ounces. A case consists of 24 bottles randomly sampled from the output of the machine.

1) Find the mean of the total volume of the beverage in the case. (Round the final answer to two decimal places.)
2) Find the standard deviation of the total volume of the beverage in the case. (Round the final answer to three decimal places.)
3) Find of the mean of the average volume per bottle of the beverage in the case. (Round the final answer to two decimal places.)
4) Find the standard deviation of the average volume per bottle of the beverage in the case. (Round the final answer to three decimal places.)
5) How many bottles must be included in a case for the standard deviation of the average volume per bottle to be 0.0025 ounces? (Round the final answer to the next whole number.)

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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