The amount of cloth used in making a wedding gown is normally distributed with astandard deviation of 16 square meters. For a random sample of 25 gowns, the meanamount of material used is 140 square meters. Construct a 95% confidence interval forthe population mean amount of material used in a wedding gown? 3. The amount of cloth used in making a wedding gown is normally distributed with astandard deviation of 16 square meters. For a random sample of 25 gowns, the meanamount of material used is 140 square meters. Construct a 95% confidence interval forthe population mean amount of material used in a wedding gown?

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Description: The amount of cloth used in making a wedding gown is normally distributed with astandard deviation of 16 square meters. For a random sample of 25 gowns, the meanamount of material used is 140 square meters. Construct a 95% confidence interval forthe

Given Data: x¯=140σ=16n=25 As the population standard deviation is known, we will use…

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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The amount of cloth used in making a wedding gown is normally distributed with a
standard deviation of 16 square meters. For a random sample of 25 gowns, the mean
amount of material used is 140 square meters. Construct a 95% confidence interval for
the population mean amount of material used in a wedding gown?

3. The amount of cloth used in making a wedding gown is normally distributed with a
standard deviation of 16 square meters. For a random sample of 25 gowns, the mean
amount of material used is 140 square meters. Construct a 95% confidence interval for
the population mean amount of material used in a wedding gown?

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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