Deck 9: One-Way Between-Groups Anova

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Question
An investigator determined the difference between two means to be statistically significant by using an ANOVA procedure. The F-ratio was 16. If the investigator had used a t-test procedure instead, what value would he have obtained for the t-ratio?

A) 4
B) 8
C) 16
D) No way to determine
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Question
Using the following one-way ANOVA summary table, how many levels of the independent variable were in this study?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 4
B) 5
C) 3
D) Cannot determine
Question
Using the following one-way ANOVA summary table, what is the total number of subjects in this study?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 76
B) 80
C) 84
D) 85
Question
Using the following one-way ANOVA summary table, how many subjects were in each group, if the ns were equal?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 4
B) 17
C) 80
D) 84
Question
Using the following one-way ANOVA summary table, what is the value of SSW (A in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 400
B) 600
C) 800
D) 1200
Question
Using the following one-way ANOVA summary table, what is the value of MSB (B in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 40
B) 50
C) 84
D) 800
Question
Using the following one-way ANOVA summary table, what is the value of MSW (C in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 5
B) 7.5
C) 10
D) 15
Question
Using the following one-way ANOVA summary table, what is the value of the F-ratio (D in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 1.5
B) 5.0
C) 10
D) 12
Question
Using the following one-way ANOVA summary table, what is the researcher's conclusion, and what possible error is attached to this decision? (? = .05)  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) Retain the null hypothesis, Type I error
B) Retain the null hypothesis, Type II error
C) Reject the null hypothesis, Type II error
D) Reject the null hypothesis, Type I error
Question
A multiple comparison technique with which of the following characteristics would be the most powerful?

A) Planned, contrast-based
B) Planned, family-based
C) Post hoc, contrast-based
D) Post hoc, family-based
Question
When would it be appropriate to use the Scheffé multiple comparison rather than the Tukey procedure?

A) When planned comparisons are desired
B) When a family-based comparison technique is desired
C) When complex comparisons are desired
D) When a more liberal technique is desired
Question
When would a multiple comparison procedure be required following a one-way ANOVA?

A) When there are two levels of the independent variable and F is significant
B) When there are three levels of the independent variable and F is not significant
C) When there are two levels of the independent variable and F is not significant
D) When there are three levels of the independent variable and F is significant
Question
From a one-way ANOVA, the following are known:
SST = 500
SSW = 400
What percentage of the total variance is explained by the treatment effects?

A) 20%
B) 44%
C) 56%
D) 80%
Question
In addition to R2, what other statistic is sometimes calculated to examine the practical value of a significant F-ratio?

A) Chi squared
B) Eta squared
C) Omega squared
D) t squared
Question
Student-Newman-Keuls is a multiple comparison technique that employs a contrast-based approach. Arrange Tukey(T), Scheffé(S), and Student-Newman-Keuls (SNK) in order from most conservative to most liberal.

A) T, S, SNK
B) SNK, T, S
C) S, T, SNK
D) S, SNK, T
Question
Which of the following is a mistake?

A) F = .82
B) r = 1.25
C) t = -36
D) z = -3.16
Question
Who developed the statistical procedure known as analysis of variance?

A) Ronald Fisher
B) William Gossett
C) Charles Spearman
D) Karl Pearson
Question
What is the SST for the following data? 5, 8, 10, 12, 15

A) 11.6
B) 14.5
C) 50.0
D) 58.0
Question
On what aspect do Tukey and Scheffé differ?

A) Planned versus post hoc
B) Simple versus complex
C) Family-based versus contrast-based
D) Multiple comparison versus significant F
Question
Compared to Tukey, Scheffé is more or less conservative?

A) More conservative and more likely to result in Type I errors
B) Less conservative and less likely to result in Type I errors
C) More conservative and less likely to result in Type I errors
D) Less conservative and more likely to result in Type I errors
Question
In an ANOVA, the main effect for factor A, which had two levels, was found to be statistically significant. What multiple comparison technique should be used?

A) Tukey
B) Scheffé
C) Either Tukey or Scheffé
D) None
Question
In a one-way ANOVA, the SSB was 68 and the unexplained variance was 60% of the total variance. What is the SST?

A) 68
B) 102
C) 170
D) 230
Question
Which of the following is an inferential statistic?

A) Mode
B) F-ratio
C) Standard deviation
D) Range
Question
Consider the statistic F (1,75) = 5.5, p<0.05. What does (1,75) indicate?

A) The probability of a Type 1 error is rejected
B) The degrees of freedom
C) The calculated value of F
D) The significance level (alpha)
Question
What name is given to an experimental design with different subjects in each level of the independent variable?

A) Between groups
B) Repeated measures
C) Mixed
D) Longitudinal
Question
What happens to the F-ratio when there are significant differences between the means?

A) F will have a value greater than 1.0.
B) F will be equal to 1.0.
C) F will have a value less than 1.0.
D) It depends on the number of levels of the independent variable.
Question
The F-ratio is associated with which inferential test?

A) t-test
B) PPM
C) ANOVA
D) Spearman rho
Question
A one-way ANOVA is appropriate to analyze data from which of the following experiments?

A) One with more than one independent variable and more than one dependent variable
B) One with one independent variable and more than one dependent variable
C) One with two independent variables and one dependent variable
D) One with one independent variable and one dependent variable
Question
Which of the following is a multiple comparison test?

A) Pearson's R
B) Scheffé
C) ANOVA
D) Gossett's
Question
Which of the following results in an omnibus inferential test?

A) Tukey
B) ANOVA
C) Scheffé
D) Student-Newman-Keuls
Question
Which of the following inferential statistical tests can be used for examining differences among means? (Assume the data are interval or ratio.)

A) One-way ANOVA
B) t-test
C) Both A and B
D) Neither A nor B
E) Insufficient information is provided.
Question
What conclusion is justified if an F-ratio of .93 is obtained in a one-way ANOVA?

A) The null hypothesis is accepted, with the chance of this conclusion being wrong equal to the α level selected.
B) Since the numerator and the denominator of the F-ratio both estimate the same value, a result of less than 1 is not possible; hence, a mathematical error must have occurred.
C) There is no significant difference among treatment means, and sampling error caused the F-ratio to be less than 1.
D) Acceptance of the null hypothesis is called for, but the F-ratio of less than 1 suggests a probable Type II error.
Question
The population means for each of four populations is 100, and the variance for each of the four populations is 16. The four ns for samples drawn from each population all equal 50. (When you answer the question, do not calculate-just think.) In a one-way ANOVA, what is the expected value of MSB?

A) 0
B) 4
C) 16
D) 100
Question
The population means for each of four populations is 100, and the variance for each of the four populations is 16. The four ns for samples drawn from each population all equal 50. (When you answer the question, do not calculate-just think.) In a one-way ANOVA, what is the expected value of MSW?

A) 0
B) 4
C) 16
D) 100
Question
The population means for each of four populations is 100, and the variance for each of the four populations is 16. The four ns for samples drawn from each population all equal 50. (When you answer the question, do not calculate-just think.) In a one-way ANOVA, what is the expected F-ratio?

A) 0
B) 1
C) 4
D) 16
Question
Using the following ANOVA summary table, what is the sum of squares for total for these data?  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) SST = SSB- SSW = 5330
B) SST = SSB + SSW = 5870
C) SST = grand x?2 - (?x?)2/N= 5670
D) Cannot determine from information given.
Question
Using the following ANOVA summary table, what F-ratio is obtained for these data, and is it significant at the .05 alpha level?  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) 1.0, not significant
B) 2.0, not significant
C) 3.0, significant
D) 4.0, significant
Question
Using the following ANOVA summary table, how many means are being compared, and how many subjects were included in each treatment? (Assume equal ns.)  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) 9 means, 56 subjects
B) 9 means, 57 subjects
C) 10 means, 56 subjects
D) 10 means, 57 subjects
Question
Using the following ANOVA summary table, which of the following conditions is NOT an assumption for this statistical test?  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) The dependent variable is normally distributed in the treatment populations.
B) The subjects are randomly assigned to treatments.
C) The same number of subjects is assigned to each treatment.
D) The variances in the populations from which the samples are drawn are equal.
Question
What element is usually manipulated by the researcher to achieve a specified amount of power in an ANOVA?

A) The actual falsity of the null hypothesis
B) The number of subjects
C) The alpha level
D) The error variance
Question
In a one-way ANOVA with three levels, the resulting means were x̄1=25, x̄2=25, and x̄3=25. What would SST equal?

A) SSW
B) SSB
C) 0.0
D) Cannot determine from information given.
Question
Select the pair of multiple comparison techniques where both are of the contrast-based type, but one in the pair is planned and the other is post hoc.

A) Tukey and Dunnett
B) Student-Newman-Keuls and POC
C) Scheffé and Student-Newman-Keuls
D) Scheffé and Tukey
Question
When we apply the Student-Newman-Keuls procedure, the difference between which pair of means is evaluated first?

A) The two largest means
B) The largest and the smallest mean
C) The means from the groups with the largest ns
D) The two smallest means
Question
Which post hoc multiple comparison technique requires the largest effect size to indicate significance?

A) Dunnett
B) Student-Newman-Keuls
C) Scheffé
D) Tukey
Question
Which of the following is a contrast-based multiple comparison technique?

A) Scheffé
B) Dunnett
C) Student-Newman-Keuls
D) Tukey
Question
Using the following information from a between-groups one-way ANOVA, what is the F-ratio, and is it significant? (? = .05)
Group 1 mean = 45 n = 10
Group 2 mean = 40 n = 10
Group 3 mean = 35 n = 10
Group 4 mean = 30 n = 10
Group 5 mean = 25 n = 10
 Source of Variation  SS  df  MS  F  Between 2400 Within 9000\begin{array}{|l|l|l|l|l|}\hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 2400 & & & \\\hline \text { Within } & 9000 & & & \\\hline\end{array}

A) 3.0, yes
B) 3.0, no
C) 2.4, yes
D) 2.4, no
Question
Using the following information from a one-way ANOVA, in the Student-Newman-Keuls procedure, what value would be multiplied by the appropriate q value?
Group 1 mean = 45 n = 10
Group 2 mean = 40 n = 10
Group 3 mean = 35 n = 10
Group 4 mean = 30 n = 10
Group 5 mean = 25 n = 10
 Source of Variation  SS  df  MS  F  Between 2400 Within 9000\begin{array}{|l|l|l|l|l|}\hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 2400 & & & \\\hline \text { Within } & 9000 & & & \\\hline\end{array}

A) 3.00
B) 3.74
C) 4.47
D) 7.74
Question
Using the following information from a one-way ANOVA, in the Student-Newman-Keuls procedure, is there a significant difference between the means for Groups 2 and 5, and what is the q value used? (? = .05)
Group 1 mean = 45 n = 10
Group 2 mean = 40 n = 10
Group 3 mean = 35 n = 10
Group 4 mean = 30 n = 10
Group 5 mean = 25 n = 10
 Source of Variation  SS  df  MS  F  Between 2400 Within 9000\begin{array}{|l|l|l|l|l|}\hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 2400 & & & \\\hline \text { Within } & 9000 & & & \\\hline\end{array}

A) Yes, 3.84
B) No, 3.84
C) Yes, 3.36
D) No, 3.36
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Deck 9: One-Way Between-Groups Anova
1
An investigator determined the difference between two means to be statistically significant by using an ANOVA procedure. The F-ratio was 16. If the investigator had used a t-test procedure instead, what value would he have obtained for the t-ratio?

A) 4
B) 8
C) 16
D) No way to determine
A
2
Using the following one-way ANOVA summary table, how many levels of the independent variable were in this study?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 4
B) 5
C) 3
D) Cannot determine
5
3
Using the following one-way ANOVA summary table, what is the total number of subjects in this study?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 76
B) 80
C) 84
D) 85
85
4
Using the following one-way ANOVA summary table, how many subjects were in each group, if the ns were equal?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 4
B) 17
C) 80
D) 84
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5
Using the following one-way ANOVA summary table, what is the value of SSW (A in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 400
B) 600
C) 800
D) 1200
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6
Using the following one-way ANOVA summary table, what is the value of MSB (B in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 40
B) 50
C) 84
D) 800
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7
Using the following one-way ANOVA summary table, what is the value of MSW (C in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 5
B) 7.5
C) 10
D) 15
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8
Using the following one-way ANOVA summary table, what is the value of the F-ratio (D in the source table)?  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) 1.5
B) 5.0
C) 10
D) 12
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9
Using the following one-way ANOVA summary table, what is the researcher's conclusion, and what possible error is attached to this decision? (? = .05)  Source of variation  SS  df  MS  F  P  Between 2004 B  D .01 Within  A 80 C  Total 1000\begin{array}{|l|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } & \text { P } \\\hline \text { Between } & 200 & 4 & \text { B } & \text { D } & .01 \\\hline \text { Within } & \text { A } & 80 & \text { C } & & \\\hline \text { Total } & 1000 & & & & \\\hline\end{array}

A) Retain the null hypothesis, Type I error
B) Retain the null hypothesis, Type II error
C) Reject the null hypothesis, Type II error
D) Reject the null hypothesis, Type I error
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10
A multiple comparison technique with which of the following characteristics would be the most powerful?

A) Planned, contrast-based
B) Planned, family-based
C) Post hoc, contrast-based
D) Post hoc, family-based
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11
When would it be appropriate to use the Scheffé multiple comparison rather than the Tukey procedure?

A) When planned comparisons are desired
B) When a family-based comparison technique is desired
C) When complex comparisons are desired
D) When a more liberal technique is desired
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12
When would a multiple comparison procedure be required following a one-way ANOVA?

A) When there are two levels of the independent variable and F is significant
B) When there are three levels of the independent variable and F is not significant
C) When there are two levels of the independent variable and F is not significant
D) When there are three levels of the independent variable and F is significant
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13
From a one-way ANOVA, the following are known:
SST = 500
SSW = 400
What percentage of the total variance is explained by the treatment effects?

A) 20%
B) 44%
C) 56%
D) 80%
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14
In addition to R2, what other statistic is sometimes calculated to examine the practical value of a significant F-ratio?

A) Chi squared
B) Eta squared
C) Omega squared
D) t squared
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15
Student-Newman-Keuls is a multiple comparison technique that employs a contrast-based approach. Arrange Tukey(T), Scheffé(S), and Student-Newman-Keuls (SNK) in order from most conservative to most liberal.

A) T, S, SNK
B) SNK, T, S
C) S, T, SNK
D) S, SNK, T
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16
Which of the following is a mistake?

A) F = .82
B) r = 1.25
C) t = -36
D) z = -3.16
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17
Who developed the statistical procedure known as analysis of variance?

A) Ronald Fisher
B) William Gossett
C) Charles Spearman
D) Karl Pearson
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18
What is the SST for the following data? 5, 8, 10, 12, 15

A) 11.6
B) 14.5
C) 50.0
D) 58.0
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19
On what aspect do Tukey and Scheffé differ?

A) Planned versus post hoc
B) Simple versus complex
C) Family-based versus contrast-based
D) Multiple comparison versus significant F
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20
Compared to Tukey, Scheffé is more or less conservative?

A) More conservative and more likely to result in Type I errors
B) Less conservative and less likely to result in Type I errors
C) More conservative and less likely to result in Type I errors
D) Less conservative and more likely to result in Type I errors
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21
In an ANOVA, the main effect for factor A, which had two levels, was found to be statistically significant. What multiple comparison technique should be used?

A) Tukey
B) Scheffé
C) Either Tukey or Scheffé
D) None
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22
In a one-way ANOVA, the SSB was 68 and the unexplained variance was 60% of the total variance. What is the SST?

A) 68
B) 102
C) 170
D) 230
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23
Which of the following is an inferential statistic?

A) Mode
B) F-ratio
C) Standard deviation
D) Range
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24
Consider the statistic F (1,75) = 5.5, p<0.05. What does (1,75) indicate?

A) The probability of a Type 1 error is rejected
B) The degrees of freedom
C) The calculated value of F
D) The significance level (alpha)
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25
What name is given to an experimental design with different subjects in each level of the independent variable?

A) Between groups
B) Repeated measures
C) Mixed
D) Longitudinal
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26
What happens to the F-ratio when there are significant differences between the means?

A) F will have a value greater than 1.0.
B) F will be equal to 1.0.
C) F will have a value less than 1.0.
D) It depends on the number of levels of the independent variable.
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27
The F-ratio is associated with which inferential test?

A) t-test
B) PPM
C) ANOVA
D) Spearman rho
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28
A one-way ANOVA is appropriate to analyze data from which of the following experiments?

A) One with more than one independent variable and more than one dependent variable
B) One with one independent variable and more than one dependent variable
C) One with two independent variables and one dependent variable
D) One with one independent variable and one dependent variable
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29
Which of the following is a multiple comparison test?

A) Pearson's R
B) Scheffé
C) ANOVA
D) Gossett's
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30
Which of the following results in an omnibus inferential test?

A) Tukey
B) ANOVA
C) Scheffé
D) Student-Newman-Keuls
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31
Which of the following inferential statistical tests can be used for examining differences among means? (Assume the data are interval or ratio.)

A) One-way ANOVA
B) t-test
C) Both A and B
D) Neither A nor B
E) Insufficient information is provided.
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32
What conclusion is justified if an F-ratio of .93 is obtained in a one-way ANOVA?

A) The null hypothesis is accepted, with the chance of this conclusion being wrong equal to the α level selected.
B) Since the numerator and the denominator of the F-ratio both estimate the same value, a result of less than 1 is not possible; hence, a mathematical error must have occurred.
C) There is no significant difference among treatment means, and sampling error caused the F-ratio to be less than 1.
D) Acceptance of the null hypothesis is called for, but the F-ratio of less than 1 suggests a probable Type II error.
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33
The population means for each of four populations is 100, and the variance for each of the four populations is 16. The four ns for samples drawn from each population all equal 50. (When you answer the question, do not calculate-just think.) In a one-way ANOVA, what is the expected value of MSB?

A) 0
B) 4
C) 16
D) 100
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34
The population means for each of four populations is 100, and the variance for each of the four populations is 16. The four ns for samples drawn from each population all equal 50. (When you answer the question, do not calculate-just think.) In a one-way ANOVA, what is the expected value of MSW?

A) 0
B) 4
C) 16
D) 100
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35
The population means for each of four populations is 100, and the variance for each of the four populations is 16. The four ns for samples drawn from each population all equal 50. (When you answer the question, do not calculate-just think.) In a one-way ANOVA, what is the expected F-ratio?

A) 0
B) 1
C) 4
D) 16
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36
Using the following ANOVA summary table, what is the sum of squares for total for these data?  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) SST = SSB- SSW = 5330
B) SST = SSB + SSW = 5870
C) SST = grand x?2 - (?x?)2/N= 5670
D) Cannot determine from information given.
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37
Using the following ANOVA summary table, what F-ratio is obtained for these data, and is it significant at the .05 alpha level?  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) 1.0, not significant
B) 2.0, not significant
C) 3.0, significant
D) 4.0, significant
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38
Using the following ANOVA summary table, how many means are being compared, and how many subjects were included in each treatment? (Assume equal ns.)  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) 9 means, 56 subjects
B) 9 means, 57 subjects
C) 10 means, 56 subjects
D) 10 means, 57 subjects
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39
Using the following ANOVA summary table, which of the following conditions is NOT an assumption for this statistical test?  Source of variation  SS  df  MS  F  Between 2709 Within 5600560 Total \begin{array}{|l|l|l|l|l|}\hline \text { Source of variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 270 & 9 & & \\\hline \text { Within } & 5600 & 560 & & \\\hline \text { Total } & & & & \\\hline\end{array}

A) The dependent variable is normally distributed in the treatment populations.
B) The subjects are randomly assigned to treatments.
C) The same number of subjects is assigned to each treatment.
D) The variances in the populations from which the samples are drawn are equal.
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40
What element is usually manipulated by the researcher to achieve a specified amount of power in an ANOVA?

A) The actual falsity of the null hypothesis
B) The number of subjects
C) The alpha level
D) The error variance
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41
In a one-way ANOVA with three levels, the resulting means were x̄1=25, x̄2=25, and x̄3=25. What would SST equal?

A) SSW
B) SSB
C) 0.0
D) Cannot determine from information given.
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42
Select the pair of multiple comparison techniques where both are of the contrast-based type, but one in the pair is planned and the other is post hoc.

A) Tukey and Dunnett
B) Student-Newman-Keuls and POC
C) Scheffé and Student-Newman-Keuls
D) Scheffé and Tukey
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43
When we apply the Student-Newman-Keuls procedure, the difference between which pair of means is evaluated first?

A) The two largest means
B) The largest and the smallest mean
C) The means from the groups with the largest ns
D) The two smallest means
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44
Which post hoc multiple comparison technique requires the largest effect size to indicate significance?

A) Dunnett
B) Student-Newman-Keuls
C) Scheffé
D) Tukey
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45
Which of the following is a contrast-based multiple comparison technique?

A) Scheffé
B) Dunnett
C) Student-Newman-Keuls
D) Tukey
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46
Using the following information from a between-groups one-way ANOVA, what is the F-ratio, and is it significant? (? = .05)
Group 1 mean = 45 n = 10
Group 2 mean = 40 n = 10
Group 3 mean = 35 n = 10
Group 4 mean = 30 n = 10
Group 5 mean = 25 n = 10
 Source of Variation  SS  df  MS  F  Between 2400 Within 9000\begin{array}{|l|l|l|l|l|}\hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 2400 & & & \\\hline \text { Within } & 9000 & & & \\\hline\end{array}

A) 3.0, yes
B) 3.0, no
C) 2.4, yes
D) 2.4, no
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47
Using the following information from a one-way ANOVA, in the Student-Newman-Keuls procedure, what value would be multiplied by the appropriate q value?
Group 1 mean = 45 n = 10
Group 2 mean = 40 n = 10
Group 3 mean = 35 n = 10
Group 4 mean = 30 n = 10
Group 5 mean = 25 n = 10
 Source of Variation  SS  df  MS  F  Between 2400 Within 9000\begin{array}{|l|l|l|l|l|}\hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 2400 & & & \\\hline \text { Within } & 9000 & & & \\\hline\end{array}

A) 3.00
B) 3.74
C) 4.47
D) 7.74
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48
Using the following information from a one-way ANOVA, in the Student-Newman-Keuls procedure, is there a significant difference between the means for Groups 2 and 5, and what is the q value used? (? = .05)
Group 1 mean = 45 n = 10
Group 2 mean = 40 n = 10
Group 3 mean = 35 n = 10
Group 4 mean = 30 n = 10
Group 5 mean = 25 n = 10
 Source of Variation  SS  df  MS  F  Between 2400 Within 9000\begin{array}{|l|l|l|l|l|}\hline \text { Source of Variation } & \text { SS } & \text { df } & \text { MS } & \text { F } \\\hline \text { Between } & 2400 & & & \\\hline \text { Within } & 9000 & & & \\\hline\end{array}

A) Yes, 3.84
B) No, 3.84
C) Yes, 3.36
D) No, 3.36
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