1) Setup Run the two cells below to load the packages and data necessary for this exam. The dataset CPS85 contains data on 534 individuals surveyed in the year 1985. wage = The hourly wage educ = years of education white/hispanic = white or not/hispanic or not sex = sex (male or female) sout = whether or not the person was from the south exper = years of experience union = whehter or not the person was in a union age = age in years sector = what sector the person works in In [1]: from datascience import * import numpy as np import matplotlib %matplotlib inline In [2]: CPS85 = Table. read_table("CPS85. csv") CPS85 Out [2 ] : wage educ white/hispanic sex south married exper union age sector $9.00 10 W/NH M NS Married 27 Not 43 const $5.50 12 W/NH M NS Married Not 38 sales $3.80 12 W/NH F NS Single 4 Not 22 sales $10.50 12 W/NH F NS Married 29 Not 47 clerical $15.00 W/NH M NS Married 10 Union 58 const $9.00 16 W/NH F NS Married 27 Not 49 clerical $9.57 12 W/NH NS Married 5 Union 23 service $15.00 14 W/NH M NS Single 22 Not 42 sales $11.00 W/NH M NS Married 12 Not 56 manuf $5.00 12 W/NH F NS 14 Not 32 sales . (524 rows omitted) Question 1: Compute the absolute difference of average years of education between men and women, round the result to 2 decimal places. Assign this value to q1 . In [ ]: 91 = Question 2: Create a table with the 6 youngest workers who have more that 5 years of experience. Assign this table to q2 . In [ ]: 92 = ... a2

Question 1 coding in python please

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