A) number of cities in each population
B) population average in chemical spills
C) sample average in chemical spills
D) population variance in chemical spills
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Multiple Choice
A) We have a 45% chance of rejecting the null hypothesis.
B) The group with the lowest mean value is 45% as large as the group with the highest mean value.
C) Means this different between groups will occur by chance alone 45% of the time.
D) Knowing which group a case belongs to helps reduce errors in prediction by 45%.
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Multiple Choice
A) high variance within categories, and low variance between categories
B) high variance between categories, and low variance within categories
C) high variance within and between categories
D) low variance within and between categories
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Essay
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View Answer
Multiple Choice
A) 4
B) 5
C) 56
D) 61
Correct Answer
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Multiple Choice
A) The t test is for interval-ratio-dependent variables; ANOVA accommodates dependent variables from all types of measurements.
B) The t test assumes equal population variances across categories; ANOVA makes no such assumption.
C) The t test is for comparing means across two categories; ANOVA accommodates three or more categories.
D) The t test distinguishes between the independent and the dependent variable; ANOVA makes no such distinction.
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Multiple Choice
A) 4
B) 5
C) 56
D) 61
Correct Answer
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Multiple Choice
A) the average difference between any two of the groups selected
B) the amount of total variation explained by group membership
C) the amount of variation in the population
D) the amount of variation between the groups selected
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Multiple Choice
A) 7
B) 20
C) 26.5
D) 87.75
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Multiple Choice
A) eta-squared
B) post hoc test
C) F ratio
D) mean square estimate
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Multiple Choice
A) -74
B) -1.3
C) 1.1
D) 3.9
Correct Answer
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Multiple Choice
A) Mean value of days missed should be roughly equal across the five provinces.
B) Each province should have a markedly different score.
C) The sample standard deviation values from each province would be identical.
D) Each province sample would be exactly the same size.
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Multiple Choice
A) by dividing mean squares between by mean squares within (MSB/MSW)
B) by summing mean squares between and mean squares within, and dividing by total degrees of freedom ((MSB + MSW) /dft)
C) by looking up the value in an F distribution table with the appropriate degrees of freedom within (dfw) and degrees of freedom between (dfb)
D) by summing all the deviations from the overall mean score
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Essay
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View Answer
Multiple Choice
A) dfb = dfw
B)
C) SST = SSB = SSW
D)
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Essay
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Multiple Choice
A) that the differences reveal something meaningful about real-world processes
B) that the differences observed are not likely due to chance fluctuation
C) that the populations representing these groups differ from one another on their mean scores
D) that the F (observed) value exceeds the F (critical) value
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Multiple Choice
A) The random samples are theoretical.
B) The samples are non-random.
C) The random samples are independent.
D) The random samples are dependent.
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Multiple Choice
A) continuous and nominal
B) discrete and continuous
C) continuous and interval-ratio
D) discrete and ordinal
Correct Answer
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Multiple Choice
A) fail to reject it because the differences are not statistically significant
B) reject it because the differences are statistically significant but the effect size is small
C) fail to reject it because the means are significantly different from one another
D) reject it because the differences are no larger than what we would expect by chance
Correct Answer
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