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In one-way ANOVA, identify a statistic that measures

a. the variation among the sample means.

b. the variation within the samples.

Short Answer

Expert verified

(a) The MSTR is used to calculate the variance between sample means.

(b) The MSE is used to determine how much variation exists between the sample means.

Step by step solution

01

Part(a) Step 1: Definition

The statistical approach of analysis of variance, or ANOVA, divides observed variance data into multiple components for use in additional tests. For three or more groups of data, a one-way ANOVA is used to learn more about the relationship between the dependent and independent variables.

02

Part(a) Step 2: Explanation

Consider the ANOVA with one variable.

The treatment mean square statistic (MSTR) is used to calculate the variation between sample means.

MSTR=SSTRk-1

The number of populations under consideration is k.

SSTR stands for the sum of squares treatment.

03

Part(b) Step 1: Definition

The statistical approach of analysis of variance, or ANOVA, divides observed variance data into multiple components for use in additional tests. For three or more groups of data, a one-way ANOVA is used to learn more about the relationship between the dependent and independent variables.

04

Part(b) Step 2: Explanation

Consider the ANOVA with one way effects.

The statistic used to measure the variation within the sample means is the error mean square (MSE).

MSE=SSEn-k

The number of populations considered is k, and the total number of observations is n.

SSE stands for squared error sum.

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

b. Perform a residual analysis

c. use your results from part (a) and (b) to decide whether conducting a one-way ANOVA test on the data is reasonable. If so, also do parts (d) and (e).

d. use a one-way ANOVA test to decide, at the\(5%\) significance level whether, the data provide sufficient evidence to conclude that a difference exists among the means of the populations from which the samples were taken.

e. Interpret your results from part (d).

In this problem, consider an F-curve with df=(2,14).

Identify the degrees of freedom for the numerator.

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

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