Comparing Research with Expected Score MCQs
Comparing Research with Expected Score MCQs
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.
Simply scroll down to begin!
1: An estimation of the range of values within which the scores will fall (margin of error) is called
A. Confidence interval
B. Time interval
C. Cost interval
D. All of these
2: Determined by the sample size; number of scores free to vary in a sample is called degree of ___
A. Position
B. Freedom
C. Time
D. All of these
3: Estimate standard error of the means is estimated standard deviation of the sampling distribution of means that is used to calculate the ___test.
A. T
B. X
C. Z
D. Y
4: The percentage of variability in a measured variable which is accounted for by the grouping variable. It is used as a measure of effect size in studies analyzed with an ANOVA is called eta squared
A. True
B. False
5: Standard error of means is standard deviation of the sampling distribution of means.
A. True
B. False
6: A study compares the average salary for a sample of assistant professors at a small private college with the national average for assistant professors and finds t(30) = –5.16, p = .006, d = .32. You can interpret this to mean ______.
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
7: If the obtained t value is ______ than the critical t value, you ______ the null hypothesis.
A. Greater; reject
B. Less; reject
C. Greater; accept
D. Less; accept
8: If a one-sample t test is significant, what information do you need to interpret whether a sample score is significantly higher or lower than an expected score or average?
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
9: Suppose you compare the average time spent on household chores and childcare by a sample of single moms with preschoolers to the national average for all women with children. You find t(25) = 2.80, p = .01. What can you conclude?
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.
10: The one-sample t test is computed by ______.
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
11: A study compares the average salary for a sample of assistant professors at a small private college with the national average for assistant professors and finds t(30) = –5.16, p = .006, d = .32. The probability of a Type I error is ______.
A. .6%
B. 6%
C. 32%
D. There is no probability of a Type I error.
12: In a study comparing the anxiety scores of college athletes to the average for college students, you find h2 = .20. You interpret this to mean ______.
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
13: The 95% confidence interval tells the researcher ______.
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
14: Assumptions of the one-sample t test include all except ______.
A. Ordinal or ratio data
B. Normally distributed population
C. Availability of the population mean (µ)
D. Sample size of 30 or less
15: A statistical test used to calculate the effect size for a one-sample t test is ______.
A. Adams d
B. Lawrence a
C. Cohen’s d
D. Alpha r
16: One sample t test is an inferential statistic that compares a sample mean to a known population mean.
A. True
B. False
List of Comparing Research wit...
Available in:
Comparing Research with Expected Score MCQs
