A machine produces “Johnson rods” that are used in the front end of an automobile. A random sample of 18 rods is selected, and for each in the sample, the diameter is measured. The resulting data (in mm) are as follows. 10.71 11.19 10.25 11.02 10.96 10.7510.68 10.32 10.73 10.58 10.92 11.04 10.54 10.72 10.71 10.71 10.62 10.77With a simple histogram, draw conclusions about the normality of these observations. Assume normality regardless.2. Calculate a 95% confidence interval on mean rod diameter.3. Calculate a 95% confidence interval on standard deviation of rod diameter.

Answered: A machine produces “Johnson rods” that…

Elementary Geometry for College Students

6th Edition

ISBN:9781285195698

Author:Daniel C. Alexander, Geralyn M. Koeberlein

Publisher:Daniel C. Alexander, Geralyn M. Koeberlein

Chapter9: Surfaces And Solids

Section9.CT: Test

Problem 14CT: Assume that a die used for gaming is in the shape of a regular octahedron. The faces are numbered...

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A machine produces “Johnson rods” that are used in the front end of an automobile. A random sample of 18 rods is selected, and for each in the sample, the diameter is measured. The resulting data (in mm) are as follows.

10.71

11.19

10.25

11.02

10.96

10.75

10.68

10.32

10.73

10.58

10.92

11.04

10.54

10.72

10.71

10.62

10.77

With a simple histogram, draw conclusions about the normality of these observations. Assume normality regardless.

2. Calculate a 95% confidence interval on mean rod diameter.

3. Calculate a 95% confidence interval on standard deviation of rod diameter.

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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