Exam 11: Analysis of Variance

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Which is not assumed in ANOVA?

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Sound levels are measured at random moments under typical driving conditions for various full-size truck models.The ANOVA results are shown below. Sound levels are measured at random moments under typical driving conditions for various full-size truck models.The ANOVA results are shown below.     The test statistic for Hartley's test for homogeneity of variance is Sound levels are measured at random moments under typical driving conditions for various full-size truck models.The ANOVA results are shown below.     The test statistic for Hartley's test for homogeneity of variance is The test statistic for Hartley's test for homogeneity of variance is

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What are the degrees of freedom for Hartley's test statistic for a one-factor ANOVA with n1 = 5,n2 = 8,n3 = 7,n4 = 8,n5 = 6,n6 = 8?

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The Kruskal-Wallis test is equivalent to comparing medians in c groups.

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To test the null hypothesis H0: μ1 = μ2 = μ3 using samples from normal populations with unknown but equal variances,we

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Which is not an assumption of ANOVA?

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What are the degrees of freedom for Tukey's test statistic for a one-factor ANOVA with n1 = 6,n2 = 6,n3 = 6?

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Refer to the following partial ANOVA results from Excel (some information is missing). Refer to the following partial ANOVA results from Excel (some information is missing).   The F-test statistic is The F-test statistic is

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ANOVA assumes equal variances within each treatment group.

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The Internal Revenue Service wishes to study the time required to process tax returns in three regional centers.A random sample of three tax returns is chosen from each of three centers.The time (in days)required to process each return is recorded as shown below. The Internal Revenue Service wishes to study the time required to process tax returns in three regional centers.A random sample of three tax returns is chosen from each of three centers.The time (in days)required to process each return is recorded as shown below.   Degrees of freedom for the between-groups sum of squares in the ANOVA would be Degrees of freedom for the between-groups sum of squares in the ANOVA would be

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Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA Table Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA Table   The p-value for the F-test would be The p-value for the F-test would be

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ANOVA is robust to violations of the equal-variance assumption as long as group sizes are equal.

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Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA table Refer to the following partial ANOVA results from Excel (some information is missing). ANOVA table   The number of observations in the entire sample is The number of observations in the entire sample is

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The Kruskal-Wallis test is often almost as powerful as one-factor ANOVA.

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Identify the degrees of freedom for the treatment and error in this one-factor ANOVA (blanks indicate missing information). Identify the degrees of freedom for the treatment and error in this one-factor ANOVA (blanks indicate missing information).

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To compare the cost of three shipping methods,a random sample of four shipments is taken for each of three firms.The cost per shipment is shown below. To compare the cost of three shipping methods,a random sample of four shipments is taken for each of three firms.The cost per shipment is shown below.   In a one-factor ANOVA,the degrees of freedom for the within-groups sum of squares will be In a one-factor ANOVA,the degrees of freedom for the within-groups sum of squares will be

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In a one-factor ANOVA,the computed value of F will be negative

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The within-treatment variation reflects

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Refer to the following partial ANOVA results from Excel (some information is missing). Refer to the following partial ANOVA results from Excel (some information is missing).   The critical value of F at α = .05 is The critical value of F at α = .05 is

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Which is the Excel function to find the critical value of F for α = .05,df1 = 3,df2 = 25?

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