Our team has conducted extensive research to compile a set of Comparing Research with Expected Score MCQs. We encourage you to test your Comparing Research with Expected Score knowledge by answering these multiple-choice questions provided below.
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A. Confidence interval
B. Time interval
C. Cost interval
D. All of these
A. Position
B. Freedom
C. Time
D. All of these
A. T
B. X
C. Z
D. Y
A. True
B. False
A. True
B. False
A. There is a large effect size with the college accounting for 32% of the variability in assistant professors’ salaries
B. There is no significant difference between the sample’s salaries and the national average
C. There is a small effect size for the college
D. Assistant professors at small colleges are overpaid
A. Greater; reject
B. Less; reject
C. Greater; accept
D. Less; accept
A. Either Cohen’s d or eta square
B. The exact p value from the t test
C. The M of the sample and the expected score or value
D. The skewness value for the sample distribution
A. Single moms with preschoolers spend significantly more time on household chores and childcare than the national average for all moms.
B. Single moms with preschoolers spend significantly less time on household chores and childcare than the national average for all moms.
C. There is no significant difference in the amount of time spent on household chores and childcare between single moms and the national average.
D. There is a significant difference between the amount of time single moms with preschoolers spend on household chores and childcare and the national average for all women with children.
A. Subtracting the population mean from the sample mean and dividing by the standard deviation of the sample
B. Subtracting the sample mean from the population mean and dividing by the standard deviation of the sample
C. Subtracting the population mean from the sample mean and dividing by the estimated standard error of the means
D. Subtracting the population mean from the sample mean and dividing by the standard error of the means
A. .6%
B. 6%
C. 32%
D. There is no probability of a Type I error.
A. There is a significant difference between the anxiety scores of the athletes and those of most college students
B. There is not a significant difference between the anxiety scores of the athletes and those of most college students
C. The effect size is weak
D. Twenty percentage of the variability in the athletes’ anxiety scores are accounted for by their group membership
A. The interval in which 95% of values for a variable fall
B. The interval in which you can expect the difference between the sample mean and population mean to fall 95% of the time
C. How confident the researcher can be that the results are true
D. 95% of the time the researcher will find the same results
A. Ordinal or ratio data
B. Normally distributed population
C. Availability of the population mean (µ)
D. Sample size of 30 or less
A. Adams d
B. Lawrence a
C. Cohen’s d
D. Alpha r
A. True
B. False