Exam 11: A: The Analysis of Variance

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How many degrees of freedom are there for a denominator in a one-way ANOVA test that includes three population means with ten observations sampled from each population?

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In one-way ANOVA, the test statistic is defined as the ratio of the mean square for error (MSE) and the mean square for treatments (MST); namely, F = MSE/MST.

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In an ANOVA test, the test statistic is F = 6.75. The rejection region is F > 3.97 for the 5% level of significance, F > 5.29 for the 2.5% level, and F > 7.46 for the 1% level. For this test, what is the p-value?

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The analysis of variance (ANOVA) technique analyzes the variance of the data to determine whether differences exist between the population variances.

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In the completely randomized design of ANOVA where there are k treatments and n observations, what are the degrees of freedom for the F statistic?

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In one-way ANOVA, what is the sum of the squared deviations of each individual sample observation (regardless of the sample to which it belongs) from the mean of all observations?

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The completely randomized design is an experimental plan that divides all available experimental units into blocks of fairly homogeneous units:each block containing as many units as there are treatments or some multiple of that number:and then randomly matches each treatment with one or more units within each block.

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Tukey's method for paired comparisons assumes that the sample means are equal and independent of each other.

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Which of the following is equal to the test statistic of the completely randomized ANOVA design?

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Given the significance level 0.05, the F-value for the degrees of freedom Given the significance level 0.05, the F-value for the degrees of freedom   = 5 and   = 8 is 4.82. = 5 and Given the significance level 0.05, the F-value for the degrees of freedom   = 5 and   = 8 is 4.82. = 8 is 4.82.

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The one-way ANOVA assumes that the population means are equal.

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In any ANOVA test, whenever the computed F statistic exceeds a chosen critical value of F, the null hypothesis of equal population means should be rejected.

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In a two-way ANOVA, there are 4 levels for factor A, 3 levels for factor B, and 2 observations within each of the 12 factor combinations. The number of treatments in this experiment will be 12.

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In one-way ANOVA, there is a single factor of interest but there may be multiple levels of the factor.

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When the objective is to compare more than two populations, the experimental design that is the counterpart of the matched pairs experiment is called the randomized block design.

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What is an analysis of variance that controls extraneous factors by using the randomized block design?

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