1) A detailed description of the data used in this analysis – specifically explain what the data in each column represents.

• For each column in the data set for each major please explain what the column represents.

2) A detailed explanation of any information learned about, 

• Explanations should be supported with the results obtained from your work in previous weeks.

a) School Type for each major; 

• Use your results from Week’s 1-7 Weekly Projects to draw conclusion about the School Type for each major.

b) The Cost for each major;

• Use your results from Week’s 1-7 Weekly Projects to draw conclusion about the Cost for each major.

c) The 30 Year ROI for each major;

• Use your results from Week’s 1-7 Weekly Projects to draw conclusion about the 30 Year ROI for each major.

d) The Annual % ROI for each major.

• Use your results from Week’s 1-7 Weekly Projects to draw conclusion about the Annual % ROI for each major.

3) Finally, answer the following questions and support your answer with your results.

• Does there appear to be a particular major that gives a better ROI? Why or Why not? 
• Using the results given in the section above, state which major you believe would have a better ROI and why.
• Given that we are using statistical inference to make our conclusions, is it guaranteed that the major you choose that gave a better ROI for this sample will always have a better ROI than the other major? Explain your reasoning.
• Using what you know about statistical inference to answer this question.