I want to make sure I did these calculations correctly,One hundred people are included in a study in which they are compared to a known population that has a mean of 73, a standard deviation of 20, and a rectangular distribution. μM = ___73_____.σM = ___ 2 _____.The shape of the comparison distribution is ___approximately normal_______.If the sample mean is 75, the lower limit for the 99% confidence interval is __69.84____.If the sample mean is 75, the upper limit for the 99% confidence interval is ___80.16___.If the sample mean is 75, the lower limit for the 95% confidence interval is ____71.08___.If the sample mean is 75, the upper limit for the 95% confidence interval is ____78.92___.

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Description: I want to make sure I did these calculations correctly,One hundred people are included in a study in which they are compared to a known population that has a mean of 73, a standard deviation of 20, and a rectangular distribution. μM = ___73_____.σM =

given that,population standard deviation, σ =20sample mean, x =75size…

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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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I want to make sure I did these calculations correctly,

One hundred people are included in a study in which they are compared to a known population that has a mean of 73, a standard deviation of 20, and a rectangular distribution.

μM = ___73_____.
σM = ___ 2 _____.
The shape of the comparison distribution is ___approximately normal_______.
If the sample mean is 75, the lower limit for the 99% confidence interval is __69.84____.
If the sample mean is 75, the upper limit for the 99% confidence interval is ___80.16___.
If the sample mean is 75, the lower limit for the 95% confidence interval is ____71.08___.
If the sample mean is 75, the upper limit for the 95% confidence interval is ____78.92___.

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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