1. Start by making initial observations of the data. What types of variables are present? Is there

anything that catches your eye?

2. Use at least two ways to summarize the qualitative data present in the data set with frequency

distributions and the various graphs/charts we have used in the class for Chapter 2.

3. Do the same thing with the quantitative data present. These four ways should be different

aspects from the data set. Interpret your results.

4. Pick two of the above graphs you chose and describe the shape of those distributions.

5. Why did you use the certain graphs you did? Are there any benefits over the other?

6. Now I want you to take two variables you think might be related. Create a scatterplot. Find the

covariance, correlation and interpret the results.

7. For the 2 examples you chose on Step 4, give me the best central tendency measure you feel is

right for the data sets. Then find their sample variances.

8. Create a box plot for me for one of the examples.

9. Depending on the distribution you get for Step 8, let me know where the limits of the

observations lie within 2 standard deviations of the mean. What does this mean in relation to

the variable?

Finally give me a summary of what you have discovered as a whole from this data set. You want the

Lending Club to know that you are very interested in working with them. Give them something to think

about.