Grand Total 532 468 1000 Grand Total 100.00% 100.00% 100.00% 2a. What is the probability that someone makes $60k or less? 2b. What is the probability that someone makes $60k or less, given they are a female? And then given that they are male 3a. If I randomly select an employee, what is the chance that they are female? 3b. If I randomly select an employee, what is the chance that they make $120k or more? 3c. If I randomly select an employee, what is the chance that they are female and make $120k or more? 4. If you planned to add 220 employees in the next year, how would they be distributed across base pay categories using this information? Distribute the new employees according to the data groupings you argued were more useful in #1. Note you do not have sex/gender information about your new hires, so you should collapse across those. 6. Examine the distribution of base pay. Create grouped histograms with 15, 25, and 35 bins to see how the shape shifts. Include the 3 images and describe what you see. 7. Let's assume that the goal is for salary to be normally distributed with a mean of $93,000 and a standard deviation of $25,000. Create a normal distribution of base pay. See pg. 281. Define the salary points that would include 68.3% of the company, 95.4% and then 99.7% of the company. 1 -4:10 CC