Reference no: EM133305736
Assignment:
1. You are analyzing a dataset for the National Institute of Justice. Currently, you are assessing the data provided by participants about their ages. You look at the variable options and see the following choices:
What is your age in years?
A. Under 18
B. 18-25
C. 23-30
D. 28-40
E. 41-50
F. Over 50
2. Which of the two variable rules does this variable violate?
A. Categories should be logically defensible and should preserve the state of the distribution
B. Categories should be mutually exclusive and exhaustive so that every case is classifiable in one and only one category
3. You are analyzing data for the local police department. The department has recently started an initiative to try and reduce excess speeds on freeways. In order to develop the program further, they need to know the average speeds that people drive on the freeway. To gather this data, they used a radar gun to capture driving speeds on the freeway.
You are analyzing the data and it is grouped into the following categories:
A. Under 35 mph
B. 36-59 mph
C. 60-80 mph
D. 81-99 mph
E. Over 100 mph
4. Which of the two variable rules does this variable violate?
A. Categories should be logically defensible and should preserve the shape of the distribution
B. Categories should be mutually exclusive and exhaustive so that every case is
C. classifiable in one and only one category
D. Both rules are violated
E. Neither rule is violated
5. You are analyzing data focused on poverty in your local county. Currently, you are analyzing the variable focused on total household income. You look at the variable and see the following choices:
What is your total household income?
A. Less than $0
B. $0
C. $0.01-$0.99
D. $1-$600,000
E. $600,001-$1,000,000
F. $1,000,001-$70,000,000
G. Over $70,000,000
6. You are analyzing data focused on poverty in your local county. Currently, you are analyzing the variable focused on total household income. You look at the variable and see the following choices:
What is your total household income?
A. Less than $0
B. $0
C. $0.01-$0.99
D. $1-$600,000
E. $600,001-$1,000,000
F. $1,000,001-$70,000,000
G. Over $70,000,000
7. Which of the two variable rules does this variable violate?
A. Categories should be logically defensible and should preserve the shape of the distribution
B. Categories should be mutually exclusive and exhaustive so that every case is classifiable in one and only one category
8. You are analyzing student data for a university. The university wants to develop programs and services for students based off of their demographics. Currently you are assessing the variable that includes students' self-reported sexual orientation. The variable is as follows:
What is your sexual orientation?
A. Heterosexual
B. Gay
C. Lesbian
D. Bisexual
E. Pansexual
F. Asexual
G. Other
9. Based off of the type of data in this variable, which would be the appropriate measure of central tendency to use?
A. Mean
B. Median
C. Mode
10. You are analyzing data that focuses on socioeconomic status in Washington, D.C. Your data shows that many of the participants report having low-to-mid levels of income (between $20,000 and $40,000), while a few participants report having extremely high-income levels (over $10,000,000). In assessing your data, you see that the majority of your participants are in the low-to-mid levels compared to the high level.
Based off of this information, which measure of central tendency would be most appropriate to use?
A. Mean
B. Median
C. Mode
11. You are analyzing data that focuses on socioeconomic status in Norfolk, VA. Your data shows that an 1/3 of your participants report making less than $50,000, 1/3 report making between $50,000 and $60,000, and 1/3 report making over $60,000.
Based off of this information, which measure of central tendency would be most appropriate to use?
A. Mean
B. Median
C. Mode
D. Either the mean or the median
12. Is this an example of a spurious relationship or a nonspurious relationship?
You are conducting a study looking at robbery patterns in the United States. Initially, you find that robberies occur more frequently between May and August. You run a second analysis, this time controlling for outdoor temperatures. You now find that robberies are more likely to occur when the weather is moderate outside, rather than being too hot or too cold.
Is this an example of a spurious relationship or a nonspurious relationship?
A. Spurious
B. Nonspurious