Using NumPy sample 100 numbers from a uniform distribution and store it into variable x. Make sure that the sample contains numbers greater than zero and numbers less than zero within the uniform distribution interval. F

Write a procedure sum-range (from to) for finding the sum of integers in the range from to to, inclusive. Make sure that (sum-range 4 18), (sum-range 18 4), and (sum-range 7 7) all give the expected result. Note that this function should be able to count up or count down depending on the order of the paramaters. So, (sum-range 4 18) and (sum-range 18 4) should give the same result. (sum-range 7 7) should return 7. (Dr.Racket)

Randomly generate 15 numbers rounded to 2 decimal places using the Numpy random function “normal()” with a mean of 20 and standard deviation of 5. Use seed of 1. Create a Pandas series of these 15 randomly generated numbers. Suppose that these numbers represent hourly wages of fifteen workers. Use a Pandas functions determine the average wage rate and the corresponding sample standard deviation Use a Boolean mask and Pandas function determine how many workers make less than $15 per hour Use a Boolean mask and Pandas function generate summary descriptive statistics for those earning less than $20 an hour Suppose that 5% raise for all individuals is approved. Create a new Pandas series for the new wage rate rounded to 2 decimal places