Exam 13: Experimental Design and Analysis of Variance
Exam 1: Data and Statistics84 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays67 Questions
Exam 3: Descriptive Statistics: Numerical Measures127 Questions
Exam 4: Introduction to Probability99 Questions
Exam 5: Discrete Probability Distributions86 Questions
Exam 6: Continuous Probability Distributions120 Questions
Exam 7: Sampling and Sampling Distributions117 Questions
Exam 8: Interval Estimation144 Questions
Exam 9: Hypothesis Tests129 Questions
Exam 10: Inference About Means and Proportions With Two Populations85 Questions
Exam 11: Inferences About Population Variances85 Questions
Exam 12: Comparing Multiple Proportions, Tests of Independence and Goodness of Fit59 Questions
Exam 13: Experimental Design and Analysis of Variance80 Questions
Exam 14: Simple Linear Regression131 Questions
Exam 15: Multiple Regression103 Questions
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Consider the following ANOVA table.
The null hypothesis for this ANOVA problem is

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(Multiple Choice)
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Correct Answer:
B
Consider the following information.
The null hypothesis is to be tested at the 5% level of significance.The p-value is

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B
An experimental design where the experimental units are randomly assigned to the treatments is known as _____ design.
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C
In ANOVA, which of the following is not affected by whether or not the population means are equal?
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In an analysis of variance problem if SST = 120 and SSTR = 90, then SSE is
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An experimental design that permits simultaneous statistical conclusions about two or more factors is a
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The process of using the same or similar experimental units for all treatments is called
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In an analysis of variance, one estimate of σ2 is based upon the differences between the treatment means and the
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In an analysis of variance where the total sample size for the experiment is nT and the number of populations is k, the mean square due to error is
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A research organization wishes to determine whether four brands of batteries for transistor radios perform equally well.Three batteries of each type were randomly selected and installed in three test radios.The number of hours of use for each battery is given below.
a.
Use the analysis of variance procedure for completely randomized designs to determine whether there is a significant difference in the mean useful life of the four types of batteries.(Ignore the fact that there are different test radios.) Use a .05 level of significance and be sure to construct the ANOVA table.
b.
b.
Now consider the three different test radios and carry out the analysis of variance procedure for a randomized block design at the .05 level of significance.Include the ANOVA table.
c.
Compare the results in Parts a and

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The number of times each experimental condition is observed in a factorial design is known as
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The heating bills for a selected sample of houses in a city using various forms of heating are given below (values are in dollars).
At α = .05, test to see if there is a significant difference among the average bills of all the homes (in a city) using three forms of heating.Use both the critical and p-value approaches.

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The critical F value with 6 numerator and 40 denominator degrees of freedom at α = .05 is
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In a completely randomized experimental design involving five treatments, 13 observations were recorded for each of the five treatments (a total of 65 observations).Also, the design provided the following information.
SSTR = 300 (Sum of Squares Due to Treatments)
SST = 800 (Total Sum of Squares)
The number of degrees of freedom corresponding to between-treatments is
(Multiple Choice)
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When an analysis of variance is performed on samples drawn from k populations, the mean square due to treatments (MSTR) is
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Consider the following ANOVA table.
The mean square due to treatments equals

(Multiple Choice)
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In a completely randomized experimental design involving five treatments, 13 observations were recorded for each of the five treatments (a total of 65 observations).Also, the design provided the following information.
SSTR = 300 (Sum of Squares Due to Treatments)
SST = 800 (Total Sum of Squares)
If, at a 5% level of significance, we want to determine whether or not the means of the five populations are equal, the critical value of F is
(Multiple Choice)
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In testing for the equality of k population means, the number of treatments is
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The process of allocating the total sum of squares and degrees of freedom to the various components is called
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