1. Create the following spreadsheet 'Payroll' below. Add a new column Net Pay and calculate the net pay for each student. At bottom calculate Average, MAX, MIN (do not use these three items for graph). PAYROLL FOR THE WEEK ENDING JUNE 30 HOURS WORKED EMPLOYEE ID NUMBER NAME HOURLY RATE 110 FORD 2$ 7.89 37.00 111 MINO $ 8.00 50.00 112 BELL $ 7.50 34.50 113 AARON $ 9.00 47.50 114 DAVIS 11.00 36.00 115 TURRO 2$ 10.50 45.00 2. Use the data on the payroll spreadsheet to create a column graph that shows the net pay for all employees. (Include employee names). 3. Insert the column chart onto your spreadsheet under your data.

FINANCIAL ACCOUNTING
10th Edition
ISBN:9781259964947
Author:Libby
Publisher:Libby
Chapter1: Financial Statements And Business Decisions
Section: Chapter Questions
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1. Create the following spreadsheet 'Payroll' below. Add a new column Net
Pay and calculate the net pay for each student. At bottom calculate Average,
MAX, MIN (do not use these three items for graph).
PAYROLL FOR THE WEEK ENDING JUNE 30
ID
ΕMPLOYEΕ
NAME
HOURLY
RATE
HOURS
WORKED
NUMBER
110
FORD
7.89
37.00
111
MINO
8.00
50.00
112
BELL
7.50
34.50
113
AARON
$
9.00
47.50
114
DAVIS
11.00
36.00
115
TURRO
$
10.50
45.00
2. Use the data on the payroll spreadsheet to create a column graph that
shows the net pay for all employees. (Include employee names).
3. Insert the column chart onto your spreadsheet under your data.
%24
%24
%24
%24
Transcribed Image Text:1. Create the following spreadsheet 'Payroll' below. Add a new column Net Pay and calculate the net pay for each student. At bottom calculate Average, MAX, MIN (do not use these three items for graph). PAYROLL FOR THE WEEK ENDING JUNE 30 ID ΕMPLOYEΕ NAME HOURLY RATE HOURS WORKED NUMBER 110 FORD 7.89 37.00 111 MINO 8.00 50.00 112 BELL 7.50 34.50 113 AARON $ 9.00 47.50 114 DAVIS 11.00 36.00 115 TURRO $ 10.50 45.00 2. Use the data on the payroll spreadsheet to create a column graph that shows the net pay for all employees. (Include employee names). 3. Insert the column chart onto your spreadsheet under your data. %24 %24 %24 %24
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