1			Analysis of Variance (ANOVA) is a test for equality of:
			A)	variances
			B)	means
			C)	proportions
			D)	only two parameters
			E)	none of the above
2			In an ANOVA, we find that the p-value is 0.003. We therefore conclude that:
			A)	there is no statistical evidence that any population mean is different from any other
			B)	no two population means are equal
			C)	no two variances are equal
			D)	the null hypothesis should be accepted
			E)	there is strong statistical evidence that not all the population means are equal
3			In an ANOVA with r = 5 groups and a total sample size of 65, using α = 0.05, the critical point for the distribution to be used is:
			A)	1.70
			B)	2.53
			C)	2.064
			D)	1.96
			E)	1.645
4			One factor with four levels is being studied via ANOVA. The total sample size is 24, with an equal number of observations for each factor level. A significant F-ratio is observed and a Tukey's Pairwise Comparison will be conducted as a follow-up. What is the appropriate critical q value for this exercise (assume α = 0.05)?
			A)	3.58
			B)	3.90
			C)	3.96
			D)	4.64
			E)	5.02

Use the following information to answer questions 5-9:

R.R. Pea is a mail-order retailer of outdoor-themed clothing and home furnishings. The firm is evaluating four techniques for processing orders that originate through its internet operations. As a first step to this analysis, the firm would like to explore whether there is a difference in the error rate (per thousand transactions) between the four techniques. Through a random sample five days worth of error rates were observed under each technique. The data were as follows:

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The following output from a computerized statistical package is available:

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5			Which of the following represents an appropriate null hypothesis in this situation?
			A)	H0: μTECH1 = μTECH2 = μTECH3 = μTECH4
			B)	H0: μTECH1 ≠ μTECH2 ≠ μTECH3 ≠ μTECH4
			C)	H0: μTECH1 ≤ μTECH2 ≤ μTECH3 ≤ μTECH4
			D)	H0: μTECH1 > μTECH2 > μTECH3 > μTECH4
			E)	H0: μTECH1 ≥ μTECH2 ≥ μTECH3 ≥ μTECH4
6			How many degrees of freedom are there for the test statistic?
			A)	20
			B)	19
			C)	16
			D)	4 in the numerator, 15 in the denominator
			E)	3 in the numerator, 16 in the denominator
7			What is the critical value for the test statistic?
			A)	t = 3.18
			B)	t = 2.09
			C)	F = 3.24
			D)	χ2 = 9.07
			E)	F = 8.69
8			What is the observed value for the test statistic?
			A)	t = 3.62
			B)	t = 2.91
			C)	F = 2.34
			D)	F = 4.06
			E)	F = 8.69
9			In this situation, we would ________________ and conclude that ________________
			A)	Reject H0; there are differences in means across the workstations
			B)	Fail to reject H0: there are no differences in means across the workstations
			C)	Reject H1: there are differences in means across observations
			D)	Fail to reject H1: there are no differences in means across observations
			E)	Both A and C and appropriate
10			In an experimental setting the analyst has decided to employ a randomized complete block approach. In this situation, the blocking effort is an attempt to reduce the _______________ of the test without increasing either the sample size or the _______________.
			A)	Type I error rate; Type II error rate
			B)	Type II error rate; Type I error rate
			C)	Type I error rate; power
			D)	Power; Type II error rate
			E)	Interaction; power

Use the following information to answer questions 11-12:

In a two-way ANOVA an analyst is evaluating the effect of Factor A (three levels) and Factor B (two levels). Her overall sample size was 30, and she has the following output available:

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11			Which of the main factors is a significant source of variation (use α = 0.05)?
			A)	Factor A but not B
			B)	Factor B but not A
			C)	Both A and B
			D)	Neither A nor B
			E)	Can't be answered without more information
12			What should the analyst conclude about the effects of Factor A and Factor B?
			A)	Factor A has no effect on variation in the dependent variable
			B)	Factor B has no effect on variation in the dependent variable
			C)	The interaction between Factor A and Factor B has no effect on variation in the dependent variable
			D)	The interaction between Factor A and Factor B has a significant effect on variation in the dependent variable
			E)	None of the above