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Question 8 A Pick any two variables that you feel may be related and estimate wh

ID: 3226514 • Letter: Q

Question

Question 8 A

Pick any two variables that you feel may be related and estimate what you think the strength of the correlation coefficient would be for those two variables. In your response, estimate the value of r. For example, specify a strong (.7 to .9), medium (.4 to .6), or low (0 to .3) value for r. The value of the coefficient can be positive or negative. For example, consider an increase in police patrols in a neighborhood and the number of burglaries that occur in that neighborhood. I would say that would be a strong inverse relationship with an r value of -0.8; as one (patrols) increases, the other (burglary rate) goes down. Describe the factors that you think would contribute to why the variables would have the relationship that you estimate it to be.

Question 8 B Now that you have completed this course in Statistics, please describe a concept covered in the course that you feel might be of assistance to you now or in the future. For example, using charts and graphs to graphically describe data at your job, or using one of the sampling methods discussed at the beginning of the course to generate sample data. Please be specific in explaining how you would use what you have learned in class to your benefit.

Explanation / Answer

8A) Education and Wages. They tend to exhibit a positive correlation with medium r(.4 to .6) The main factor being nature of job one seeks with degree(s) Another factor is high skill jobs that can be performed only by a few that commands hihg wages.

8B) Suppose, hypothetically, you are HR Analyst of a company and want to measure job satisfaction. One of the objectives is to determine if there is any correlation between years with company and satisfaction index. First step is to classfiy data according to experience groups say, <2, 2 to 5, 5-10 and > 10. A Histogram gram is plotted to make initial assumptions about data.

Next you use stratified random sampling to pick sample data (each group mentioned above is a strata). All the participants are given a questionnaire and then you do required testing.

Another such example is training. You wish to see whether on the job training helps employees. Measure performance on a test before and after training. Conduct a paired two sample t-test. Sampling in this case is simple random.

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