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a. Obtain individual normal probability plots and the standard deviations of the samples.

b. Perform a residual analysis.

c. Decide whether presuming that the assumptions of normal populations and equal standard deviations are met is reasonable.

Short Answer

Expert verified

(a) The standard deviations are

High way 3=92.9

Gas =126.1

Convenience store =139

(b)

(c) It is acceptable to assume that the assumptions of normal populations and equal standard deviations are met.

Step by step solution

01

Part (a) Step 1: Given information

The given data is

02

Part (a) Step 2: Explanation

From the given data

The normal probability plot of high way

The normal probability plot of Gas station

The normal probability plot of convenience store

Use any software to find the standard deviations.

High way 3=92.9

Gas =126.1

Convenience store=139

03

Part (b) Step 1: Given information

The given data is

04

Part (b) Step 2: Explanation

Draw the residual graph with respect to the fitted value using the given data.

The three samples have the same standard deviations as seen in the graph above. Create a normal probability map of the residuals.

05

Part (c) Step 1: Given information

The given data is

06

Part (c) Step 2: Explanation

Sections a and b

Data samples are approximately normally distributed in normal probability plots.

The residual analysis reveals that the standard deviations of all three data samples are equal.

Loss values are random and independent for three samples.

As a result, the assumptions for doing one-way ANOVA are met.

As a result, it is acceptable to assume that the assumptions of normal populations and equal standard deviations are met.

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Most popular questions from this chapter

The data from independent simple random samples from several populations are given.

a. Compute SST, SSTR, and SSE by using the computing formulas.

b. Compare your results in part (a) for SSTR and SSE with those you obtained in Exercises 13.24-13.29, where you employed the defining formulas,

c. Construct a one-way ANOVA table.

d. Decide, at the 5% significance level, whether the data provide sufficient evidence to conclude that the means of the populations from which the samples were drawn are not all the same.

Following are the notations for the three sums of squares. State the name of each sum of squares and the source of variation each sum of squares represents.

a. SSE

b. SSTR

c. SST

Income by Age. The U.S. Census Bureau collects information on the incomes of employed persons and publishes the results in Historical Income Tables. Independent simple random samples of 100cm- ployed persons in each of four age groups gave the data on annual income, in thousands of dollars, presented on the WeissStats site.

An F-curve has df=(24,30). In each case, find the F-value having the specified area to its right.

a.0.05

b.0.01

c.0.025

In section\(13.2\) we considered two hypothetical examples to explain the logic behind one-way ANOVA. Now you are to further examine those examples.

a. Refer to Table \(13.1\) on page \(528\). Perform a one-way ANOVA on the data and compare your conclusion to that stated in the corresponding "what does it mean"? box. Use \(\alpha =0.05\).

b. Repeat part (a) for the data in Table \(13.2\) on page \(528\).

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