Exam 12: Analysis of Variance
Exam 1: Introduction to Statistics24 Questions
Exam 2: Percentages, Graphs and Measures of Central Tendency69 Questions
Exam 3: Measures of Variability99 Questions
Exam 4: The Normal Curve and Z Score115 Questions
Exam 5: Z Scores, T Scores and Other Normal Curve Transformations110 Questions
Exam 6: Probability76 Questions
Exam 7: Statistics and Parameters92 Questions
Exam 8: Parameter Estimates129 Questions
Exam 9: The Fundamentals of Research Methodology173 Questions
Exam 10: The Hypothesis of Difference130 Questions
Exam 11: The Hypothesis of Association: Correlation131 Questions
Exam 12: Analysis of Variance108 Questions
Exam 13: Nominal Categorical Data and the Chi Square89 Questions
Exam 14: Regression Analysis122 Questions
Exam 15: Repeated-Measures and Matched-Subjects Designs Interval Data113 Questions
Exam 16: Non-Parametrics Revisited: the Ordinal Case113 Questions
Exam 17: Tests and Measurements69 Questions
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Calculate the F ratio on the following sets of scores. Group 1 Group 2 Group 3 5 7 10 3 6 10 3 6 9 2 4 10
(Short Answer)
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Between variability results from the accumulated differences between each sample mean and the total mean.
(True/False)
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When doing an ANOVA with one degree of freedom between groups, then
(Multiple Choice)
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When doing an F ratio on a three-group design, 5 subjects in each group, the within degrees of freedom will equal
(Multiple Choice)
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When doing an F ratio, subtracting the number of groups from the total number of subjects yields the
(Multiple Choice)
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Total variability results from the accumulated differences between each individual score and the total mean.
(True/False)
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A significant F ratio can only occur when the between variability is less than the within variability.
(True/False)
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The mean square (MS) is always equal to (when based on SS/df)
(Multiple Choice)
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Questions below are based on the following: (This is similar to an item in the text at the back of chapter 12 but WITH A DIFFERENT DATA SET). A researcher is interested in whether a certain amphetamine drug will affect the retention of learned behavior among rats as a function of how much time is allowed to elapse between the training and the retention test. Four groups, ten subjects in each group, were randomly selected from a colony of Sprague-Dawley rats. All the rats were given the same amount of training on a simple maze. Groups A and C were given the amphetamine, whereas Groups B and D were given a placebo. Groups A and B were tested for retention immediately following the training, whereas Groups C and D were tested 4 hours later. The retention measure consisted of a scaled score based on how many correct responses the rats would exhibit while running the maze, the higher the score the higher the retention FACTOR A Amphetamine Group A Placebo Group B 15 13 9 9 9 12 Immediate 11 7 Test 10 7 6 8 10 10 12 9 14 5 7 11 FACTOR B Group C Group D 1 8 5 6 Delayed 2 9 Test 4 4 5 4 6 5 5 6 2 6 6 6 1 7
-Calculate the means for each of the four groups (If you graph them you will discover that the two graph lines are not parallel).
(Short Answer)
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Questions below are based on the following: (This is similar to an item in the text at the back of chapter 12 but WITH A DIFFERENT DATA SET). A researcher is interested in whether a certain amphetamine drug will affect the retention of learned behavior among rats as a function of how much time is allowed to elapse between the training and the retention test. Four groups, ten subjects in each group, were randomly selected from a colony of Sprague-Dawley rats. All the rats were given the same amount of training on a simple maze. Groups A and C were given the amphetamine, whereas Groups B and D were given a placebo. Groups A and B were tested for retention immediately following the training, whereas Groups C and D were tested 4 hours later. The retention measure consisted of a scaled score based on how many correct responses the rats would exhibit while running the maze, the higher the score the higher the retention FACTOR A Amphetamine Group A Placebo Group B 15 13 9 9 9 12 Immediate 11 7 Test 10 7 6 8 10 10 12 9 14 5 7 11 FACTOR B Group C Group D 1 8 5 6 Delayed 2 9 Test 4 4 5 4 6 5 5 6 2 6 6 6 1 7
-Calculate the F ratio for the interaction
(Short Answer)
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Dividing the sum of squares (SS) by the degrees of freedom (df), yields the
(Multiple Choice)
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An F ratio of 10 means that the MS within is 10 times larger than the MS between.
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When analyzing a significant ANOVA, in order to establish precisely where the sample differences may have occurred, we may
(Multiple Choice)
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The sums of squares components relate such that SS total is equal to
(Multiple Choice)
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Doing successive t tests within the context of a single experiment
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The alternative hypothesis for the F ratio is that the sample means
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