The following is sample information. We are asked to test the hypothesis at the 5% significance level that the treatment means are equal. Assume that the treatment results for each type of treatment are normally distributed with equal standard deviations (and variances).Treatment ITreatment IITreatment III9131072091114159131412 1510 1.) Find the F statistic.A.) 5.1179B.) 0.0247C.) 6.2845D.) 9.24892.) What is the p-value?A.) 0.0247B.) 5.1179C.) 0.0769D.)0.01923.) What can we conclude at the 5% significance level?A.) The mean treatment results in at least two of the treatments are different.B.) The mean treatment results of all types of treatment are equal.C.) The hypothesis test is inconclusive.D.) There is not enough information to make a conclusion.

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Description: The following is sample information. We are asked to test the hypothesis at the 5% significance level that the treatment means are equal. Assume that the treatment results for each type of treatment are normally distributed with equal standard deviat

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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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The following is sample information. We are asked to test the hypothesis at the 5% significance level that the treatment means are equal. Assume that the treatment results for each type of treatment are normally distributed with equal standard deviations (and variances).

Treatment I	Treatment II	Treatment III
9	13	10
7	20	9
11	14	15
9	13	14
12		15
10

1.) Find the F statistic.

A.) 5.1179

B.) 0.0247

C.) 6.2845

D.) 9.2489

2.) What is the p-value?

A.) 0.0247

B.) 5.1179

C.) 0.0769

D.)0.0192

3.) What can we conclude at the 5% significance level?

A.) The mean treatment results in at least two of the treatments are different.

B.) The mean treatment results of all types of treatment are equal.

C.) The hypothesis test is inconclusive.

D.) There is not enough information to make a conclusion.

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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