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March 26, 2023

Figure 2.41 shows the 2016 U.S. federal income tax rates for the four different types of filing status. Suppose an individual is single. Write one logical IF function that will

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HW with Business Analytics. 

Qtn 21

 Figure 2.41 shows the 2016 U.S. federal income tax rates for the four different types of filing status. Suppose an individual is single. Write one logical IF function that will determine the correct tax rate for any income that is entered in cell B3 of a spreadsheet. Implement this on a spreadsheet and verify its correctness

Qtn 29 

Use INDEX and MATCH functions to fill in a table that extracts the amounts shipped between each pair of cities in the Excel file General Appliance Corporation, which shows the solution to an optimization model that finds the minimum cost and amounts shipped from two plants to four distribution centers. Your table should be set up as follows, and the formulas for the Amount Shipped column should reference the names in the From and To column

Qtn 37 

Construct PivotTables showing the counts of gender versus carrier and type versus usage in the Excel file Cell Phone Survey. What might you conclude from this analysis?

  • attachment

    1679406351402blob1.jpg

  • attachment

    CellPhoneSurvey.xlsx

  • attachment

    GeneralApplianceCorporation.xlsx

  • attachment

    WholePCS.jpg

Data

Cell Phone Survey
Gender Carrier Type Usage Signal strength Value for the Dollar Customer Service
M AT&T Smart High 5 4 4
M AT&T Smart High 5 4 2
M AT&T Smart Average 4 4 4
M AT&T Smart Very high 2 3 3
M AT&T Smart Very high 5 5 2
M AT&T Smart Very high 4 3 5
M AT&T Smart Very high 3 4 4
F AT&T Smart Very high 3 2 3
F AT&T Smart Very high 4 3 4
M AT&T Smart Very high 3 3 1
M Other Smart Average 1 2 4
M Sprint Smart Very high 3 5 4
M Sprint Smart Very high 3 5 3
F Sprint Smart Average 2 5 4
F Sprint Smart Average 3 5 4
M Verizon Smart Average 4 3 3
F Verizon Smart Very high 4 3 2
M Verizon Smart Very high 5 5 5
F Verizon Smart Average 3 3 3
M Verizon Smart Very high 4 4 2
F Verizon Smart Very high 4 5 3
M AT&T Camera Average 5 4 5
M AT&T Camera Very high 2 1 3
M AT&T Camera Average 2 4 3
F AT&T Camera Very high 3 3 3
M AT&T Camera Average 5 5 3
F AT&T Camera Average 4 3 3
M AT&T Camera Average 4 2 4
F AT&T Camera Very high 2 4 1
F AT&T Camera Average 2 4 3
M AT&T Camera Average 3 3 4
F AT&T Camera Very high 3 2 3
M AT&T Camera Very high 4 3 3
F AT&T Camera Low 4 2 3
M Other Camera Average 3 3 3
F Other Camera Average 2 3 3
M Other Camera Average 4 3 4
M Sprint Camera Average 3 4 4
F Verizon Camera Very high 3 4 3
F Verizon Camera Very high 4 3 1
M AT&T Basic Average 3 3 3
M AT&T Basic Average 3 3 2
M AT&T Basic Low 3 3 3
M Other Basic Average 3 3 5
M Other Basic Very high 4 3 3
M Other Basic Very high 1 3 4
M Other Basic Low 4 4 2
F Other Basic Average 2 3 3
F T-mobile Basic Low 3 4 4
M T-mobile Basic Average 3 4 3
M Verizon Basic Low 3 3 4
M Verizon Basic Average 4 2 4

,

Transportation Model

General Appliance Corporation
Data
Distribution Center
Plant Cleveland Baltimore Chicago Phoenix Capacity
Marietta $12.60 $14.35 $11.52 $17.58 1200
Minneapolis $9.75 $16.26 $8.11 $17.92 800
Demand 150 350 500 1000
Model
Distribution Center
Plant Cleveland Baltimore Chicago Phoenix Total shipped
Marietta 0 350 0 850 1200
Minneapolis 150 0 500 150 800
Demand met 150 350 500 1000
Cost
Total $28,171.00

Answer Report 1

Objective Cell (Min)
Cell Name Original Value Final Value
$B$18 Total Cost $0.00 $28,171.00
Variable Cells
Cell Name Original Value Final Value Integer
$B$13 Marietta Cleveland 0 0 Contin
$C$13 Marietta Baltimore 0 350 Contin
$D$13 Marietta Chicago 0 0 Contin
$E$13 Marietta Phoenix 0 850 Contin
$B$14 Minneapolis Cleveland 0 150 Contin
$C$14 Minneapolis Baltimore 0 0 Contin
$D$14 Minneapolis Chicago 0 500 Contin
$E$14 Minneapolis Phoenix 0 150 Contin
Constraints
Cell Name Cell Value Formula Status Slack
$B$15 Demand met Cleveland 150 $B$15=$B$8 Binding 0
$C$15 Demand met Baltimore 350 $C$15=$C$8 Binding 0
$D$15 Demand met Chicago 500 $D$15=$D$8 Binding 0
$E$15 Demand met Phoenix 1000 $E$15=$E$8 Binding 0
$F$13 Marietta Total shipped 1200 $F$13<=$F$6 Binding 0
$F$14 Minneapolis Total shipped 800 $F$14<=$F$7 Binding 0

Sensitivity Report 1

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Variable Cells
Final Reduced Objective Allowable Allowable
Cell Name Value Cost Coefficient Increase Decrease
$B$13 Marietta Cleveland 0 3.19 12.6 1E+30 3.19
$C$13 Marietta Baltimore 350 0 14.35 1.57 1E+30
$D$13 Marietta Chicago 0 3.75 11.52 1E+30 3.75
$E$13 Marietta Phoenix 850 0 17.58 0.34 1.57
$B$14 Minneapolis Cleveland 150 0 9.75 3.19 1E+30
$C$14 Minneapolis Baltimore 0 1.57 16.26 1E+30 1.57
$D$14 Minneapolis Chicago 500 0 8.11 3.75 1E+30
$E$14 Minneapolis Phoenix 150 0 17.92 1.57 0.34
Constraints
Final Shadow Constraint Allowable Allowable
Cell Name Value Price R.H. Side Increase Decrease
$B$15 Demand met Cleveland 150 9.75 150 0 150
$C$15 Demand met Baltimore 350 14.69 350 0 150
$D$15 Demand met Chicago 500 8.11 500 0 500
$E$15 Demand met Phoenix 1000 17.92