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QUESTION

  Answer each question for both Part I and II in an essay format with 5-7 sentences( at least one paragraph).  Use references from the attached documents.   Part I(Chapter 9 and Chapter 11)  1.

  Answer each question for both Part I and II in an essay format with 5-7 sentences( at least one paragraph).  Use references from the attached documents.   

Part I(Chapter 9 and Chapter 11)  

1. Please share what is a chart that you found helpful (Chapter 9 and Chapter 11)

2. What are your initial thoughts of the new textbook?  Did you get a good understanding? 

3. What types of situations in your chosen field might benefit from the use of multiple group hypothesis tests?

                                                         Part II(Chapter 10)  

1.  Please answer one of the two following questions:

Correlation: Correlation Does Not Mean Causation

One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error, when the two variables seem to be related to each other.

What is one instance where you have seen correlation misinterpreted as causation?  Please describe.

OR

Linear Regression

Linear regression is used to predict the value of one variable from another variable. Since it is based on correlation, it cannot provide causation. In addition, the strength of the relationship between the two variables affects the ability to predict one variable from the other variable; that is, the stronger the relationship between the two variables, the better the ability to do prediction.

What is one instance where you think linear regression would be useful to you in your workplace or chosen major? Please describe including why and how it would be used.

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