Question

1. When doing a Chi-Square test, if the differences between the expected and observed values are large, the Chi-Square test statistic will be ___________. a) large b) small c) cannot be determined by the given data 2. What of the following is a description of a measure of effect size? a) The magnitude of the relationship between variables b) The likelihood of type 1 and type 2 errors c) The variance explained by the measures 3. A University's Residential Life Department is interested in the makeup of students living on campus. On average over the past 10 years, 42% are Freshman, 35% are Sophomore, 12% are Juniors, 8% are Seniors, and 3% are graduate students. The department compares the number of students living on campus within each class to those of the 10-year average. Which test is most appropriate? a) the chi-square test for goodness-of-fit b) the effect size statistic c) the proportionate reduction in error 4. A college wants to determine if first-year students living on campus are more likely to be retained than first-year students living off campus. They look at data for the past five years and count the number of first-year students who lived on and off campus and whether those students came back for their fall semester or not? Which test is most appropriate? a) the effect size statistic b) the chi-square test for independence c) the proportionate reduction in error 5. What is the degree of freedom for the scenario in Question 4? a) 0 b) 1 c) 3

1. When doing a Chi-Square test, if the differences between the expected and observed values are large, the Chi-Square test statistic will be ___________.
a) large
b) small
c) cannot be determined by the given data

2. What of the following is a description of a measure of effect size?
a) The magnitude of the relationship between variables
b) The likelihood of type 1 and type 2 errors
c) The variance explained by the measures

3. A University's Residential Life Department is interested in the makeup of students living on campus. On average over the past 10 years, 42% are Freshman, 35% are Sophomore, 12% are Juniors, 8% are Seniors, and 3% are graduate students. The department compares the number of students living on campus within each class to those of the 10-year average. Which test is most appropriate?
a) the chi-square test for goodness-of-fit
b) the effect size statistic
c) the proportionate reduction in error

4. A college wants to determine if first-year students living on campus are more likely to be retained than first-year students living off campus. They look at data for the past five years and count the number of first-year students who lived on and off campus and whether those students came back for their fall semester or not? Which test is most appropriate?
a) the effect size statistic
b) the chi-square test for independence
c) the proportionate reduction in error

5. What is the degree of freedom for the scenario in Question 4?
a) 0
b) 1
c) 3

Added by Paul H.

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