1 NAME PAY BASIS Gender SALARY (S) Age POSITION TITLE 2 Alexander, Monica K. Per Annum F 56000.00 48 EXECUTIVE ASSISTANT 3 Ambrosini, Michael J. Per Annum M 95000.00 45 SPECIAL ASSISTANT 4 Amin, Stacy C. Per Annum F 140000.00 36 SPECIAL ASSISTANT 5 Andersen, Whitney N. Per Quarter F 94000.00 31 DEPUTY DIRECTOR 6 Anderson, Alexander J. Per Annum M 77000.00 44 DIRECTOR OF DIGITAL ENGAGEMENT 7 Angelson, Alexander J. Per Annum M 95000.00 52 SPECIAL ASSISTANT 8 Augustine, Rene I. Per Quarter F 140000.00 50 SPECIAL ASSISTANT Baitel, Rachael Per Annum 62000.00 32 EXECUTIVE ASSISTANT 10 Baldwin, Brittany L Per Annum F 70000.00 36 SPEECHWRITER 11 Banks, George D. Per Quarter M 140000.00 55 SPECIAL ASSISTANT 12 Bannon, Stephen K. Per Annum M 179700.00 55 ASSISTANT 13 Barger, Lara R. Per Quarter F 83000.00 36 SENIOR DIGITAL STRATEGIST 14 Bash, John F. Per Annum M 130000.00 54 SPECIAL ASSISTANT 15 Bash, Zina G. Per Annum F 140000.00 51 SPECIAL ASSISTANT 16 Beley, James P. Per Annum M 47000.00 32 WRITER FOR CORRESPONDENCE 17 Berkowitz, Avrahm J. Per Quarter M 115000.00 52 SPECIAL ASSISTANT 18 Biddle, Emily K. Per Annum F 70000.00 36 DEPUTY SOCIAL SECRETARY 19 Bis, Justin B. Per Annum M 62000.00 36 DEPUTY ASSOCIATE DIRECTOR 20 Blair, Patricia A. Per Annum F 102212.00 57 CHIEF CALLIGRAPHER 21 Blase, Brian C. Per Annum M 115000.00 53 SPECIAL ASSISTANT 22 Block, Monica J. Per Quarter F 140000.00 51 SPECIAL ASSISTANT 23 Blount, Mallory N. Per Annum 40000.00 38 ASSOCIATE DIRECTOR 24 Blount, Patricia H. Per Annum F 61829.00 39 RECORDS MANAGEMENT ANALYST 25 Bock, Caroline E. Per Quarter F 115000.00 46 SPECIAL ASSISTANT 26 Boney, Virginia M. Per Annum F 115000.00 49 SPECIAL ASSISTANT 27 Bonvillian, Marcus D. Per Annum M 77000.00 34 ASSOCIATE DIRECTOR 28 Bossert, Thomas P. Per Quarter M 179700.00 34 ASSISTANT 29 Boza-Holman, Sofia M. Per Annum 62000.00 48 REGIONAL COMMUNICATIONS DIRECTOR 30 Braid, Duncan M. Per Quarter M 47000.00 32 RESEARCH ASSOCIATESamara: or wane House EMFLDYEES m TRUMP ll. 201? The White House has released the salaries of Trump Administration employees in response to growing calls for disclosure of his team's compensation. The file contains a sample of the salaries of 30 employees. With this dataset, the objective is clear: making public data public. While the salaries themselves may not be of immense interest, it is important for the American people to understand how the White House is operating as a functioning unit of the Executive Branch. Answer the following questions :I a. How many variables are in the data set? b. Identify the Qualitative and Quantitative variables. c. Construct a Frequency and Relative Frequency Table for each of the Qualitative 1ul'al'iables. d. Construct a Bar Chart for each of the qualitative variables. e. Construct a Cumulative Frequency and Relative Cumulative Frequency table for each of the Quantitative variables. f. Construct an Dgive for each of the Quantitative variables. g. Construct a Contingency table betvreen Gender and Salary. Comment on your findings. h. Construct a Scatter Diagram between Age and Salary. Do you find any relationship between them. If yes, explain the relationship between Age and Salary