Exam 11: The Analysis of Variance

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In a randomized block design of ANOVA, how many factors are there to be analyzed?

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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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Blocking is a procedure that lets extraneous factors operate during an experiment but assures - by virtue of the random selection of experimental units and their subsequent random assignment to experimental and control groups - that each treatment has an equal chance to be enhanced or handicapped by these factors.

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Which of the following statements is false?

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In a one-way ANOVA, the null hypothesis is written in terms of the population variances.

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In the randomized block design for ANOVA, where k is the number of treatments and b in the number of blocks, the number of degrees of freedom for error is:

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In a one-way ANOVA, the total variation in the data across the various factor levels can be partitioned into two parts: the between samples variation (called the sum of squares for treatments) and the within samples variation (called the sum of squares for error).

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In the two-way ANOVA where a is the number of factor A levels, b in the number of factor B levels, and r in the number of replicates, the number of degrees of freedom for error is:

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The F statistic is the arithmetic mean of two or more means.

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The distribution of the test statistic for analysis of variance is:

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Which of the following is not a required condition for one-way ANOVA?

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Tukey's multiple comparison method determines a critical number Tukey's multiple comparison method determines a critical number   , such that, if any pair of sample means has a difference smaller than this critical number, we conclude that the pair's two corresponding population means are different. , such that, if any pair of sample means has a difference smaller than this critical number, we conclude that the pair's two corresponding population means are different.

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If we first arrange test units into similar groups before assigning treatments to them, the test design we should use is the randomized block design.

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The distribution of the test statistic for analysis of variance is the:

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The term one-way ANOVA refers to the fact that in conducting the test, there is only one way to partition the total sum of squares.

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The equation: "Total SS = SST + SSB + SSE" applies to which ANOVA model?

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A randomized block design with 4 treatments and 5 blocks produced the following sum of squares values: Total SS = 1951, SST = 349, SSE = 188. The value of SSB must be:

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In a randomized block design of ANOVA, which of the following statements is true?

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In the randomized block design ANOVA, the sum of squares for error equals:

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The analysis of variance, ANOVA, is best described as a statistical technique designed to test whether the means of more than two quantitative populations are equal.

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