It is extremely important for a researcher to clearly define the varibales in a study because this helps to determine the type of analysis that can be performed on the data. For example, if a researcher wanted to describe people based on Social Security number, what level of measurement would the variable "Social Security number" be? Now suppose the researcher felt that certain people who lived farther ease received higher numbers. Does the level of measurement of the variable change? If so how? What is the level of measurement of the variable "Social Security number"in the origiinal scenario?

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A: We are asked to list one possible confounding variable for the analysis and to explain its impact on…

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A: We have given the following statement

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A:

Q: Chi Square tests are used to analyze qualitative data such as opinions, observations or surveys and…

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A: 127 1050 130 1050 101 700 88 670 83 640 87 640 89 560

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Q: independent and dependent variables

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A: Confounding variable has a strong influence in causal relationship.

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A: Given that  Sample size n =100 , for each group.

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Q: please show the work for the problems with an explanation versus just shwoing calculated data.

A: To check the relationship b/w age and miles on the car.

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