Relationship between income and education

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Assignment:

Recommending a statistical technigue.

Questions 1. 16-25 present scenarios. These scenarios refer to sample information collected to make conclusions about similar populations. Without adjusting the data, for each question which statistical technique might you recommend using, if any'? For your answers, just provide the letter (so A, B, C, D, E, or F).

A. One-sample t-test

B. Independent (two-samples) t-test

C. Correlation

 

D. Crosstabs

E. Regression

F. None of the tests listed.

2. A quality control inspector keeps a tally sheet of the number of acceptable and defective products that come off three different production lines. Can the inspector infer that the production lines differ in terms of the portion of parts that are acceptable versus defective?

3. A human resource manager wants to study the strength of the relationship between income (in $1000s) and education (in years).

4. The manager of a fast food chain wants to evaluate the effectiveness of a promotion. The promotion involves distributing 20% off coupons. Effectiveness refers to the amount of revenue generated during weeks when the coupons are used, versus revenue generated during weeks when coupons are not used.

5. Three mutual funds are sold by an investment company. During one week, 180 customers purchased a mutual fund. Of these, 70 picked Fund A, 50 picked Fund B, and 60 picked Fund E. In the population, is the purchase of these funds even, meaning do purchases of each fund occur with equal frequency?

6. Three automobile insurance appraisers examine cars involved in accidental collisions to estimate repair costs. An insurance executive wonders whether the different appraisers tend to provide different repair cost estimates.

7. A politician wants to predict how likely people with different party affiliations (i.e., Democrat, Republican, or other) are to vote, based on the combination of their income, their age, what level of education they have (no high school, high school, some college, or college degree) and their gender.

8. A Pizza Hut manager would like to investigate the belief that the average age of lunchtime customers is greater than 28, which is the average age of lunchtime customers who buy from McDonalds.

9. By how much (in dollars) do workers yearly health benefits change for every $1000 change in their yearly income?

10. An oil change outlet manager wants to know whether owners of new cars change their cars' oil more frequently than owners of older cars. Oil change frequency means the number of miles between oil changes. Cars are considered new if made within the past two years, and are otherwise considered old.

11. Workers in a large plant are expected to complete a particular task in 60 seconds or less. The production manager wants to know whether the average worker is satisfying that expectation.

Reference no: EM133221478

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