can't seem to do the neste

COMPREHENSIVE MICROSOFT OFFICE 365 EXCE
1st Edition
ISBN:9780357392676
Author:FREUND, Steven
Publisher:FREUND, Steven
Chapter3: Working With Large Worksheets, Charting, And What-if Analysis
Section: Chapter Questions
Problem 2.1EYK
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I can't seem to do the nested IF function in column T3.

T3
fx =IF(R3>=470,"Exceptional",IF(R3<470,"Good",IF(R3<430,"Needs Improvement")))
K
L
M
Q
R
S
Customer Satisfaction
1
Sales figures are expressed in $1,000s.
Survey Score 1-10
2 SalespersonID
Last Name
First Name
Q1Sales
Q2Sales
Q3Sales
Q4Sales
AnnualSales
CSS Score
SalesScore
Rank
Evaluation
3
E10204078
Adams
Joan
93.06
96.82
97.76
99.64
387.28
9.158
478.86
2
Exceptional
E21594943
Barr
Janine
94.94
74.26
96.82
97.76
363.78
8.784
451.62
19
E31605018
Bennett
Corey
93.06
93.06
89.30
89.30
364.72
9.473
459.45
14
E31898915
Bradshaw
Kathryn
100.00
74.26
86.48
98.70
359.44
8.473
444.17
22
7
E21001056
Breitfelder
John
100.00
100.00
93.06
91.18
384.24
9.065
474.89
3
8
E12104087
Brudnicki
Randall
93.06
93.06
84.60
98.70
369.42
9.345
462.87
12
E16106015
Саponigro
Amy
72.38
100.00
87.42
88.36
348.16
8.503
433.19
24
10E81807011
Cebulski
Paul
85.54
74.26
94.94
69.56
324.30
9.349
417.79
27
11 E77698931
Centry
Lauren
93.06
84.60
85.54
87.42
350.62
8.222
432.84
25
12 E66506022
Choi
Daisy
86.48
100.00
100.00
84.60
371.08
8.503
456.11
17
13 E58108010
Correll
Roger
95.54
90.50
88.36
99.30
373.70
9.724
470.94
5
14 E45104044
Dahlman
Adam
90.24
85.54
93.06
88.36
357.20
8.128
438.48
23
15 E50406073
Escobar
Isabel
93.06
93.06
93.06
93.06
372.24
8.971
461.95
13
16 E43996918
Goldacker
Patrick
95.88
97.76
91.18
90.24
375.06
8.784
462.90
10
17 E30201011
Harris
Jennifer
100.00
94.94
74.26
96.82
366.02
9.252
458.54
15
18 E23401018
Henderson
Shannon
95.54
97.76
96.82
94.26
384.38
8.784
472.22
4
19E11122233
Homan
Kristen
96.82
89.30
87.33
94.26
367.71
8.128
448.99
20
20 E64301011
Ivers
Susan
89.30
77.34
100.00
89.30
355.94
9.158
447.52
21
21 E17997945
Jones
Cynthia
87.42
97.76
89.30
96.82
371.30
9.158
462.88
11
22 E23107057
Lee
Ahn
99.64
90.24
100.00
98.70
388.58
9.158
480.16
1
23 E26208076
24E76701016
Lopez
Allison
87.42
74.26
86.48
93.06
341.22
8.315
424.37
26
Martinez
Carl
86.48
93.06
95.88
98.70
374.12
9.533
469.45
25 E30502016
Meyer
Joseph
94.94
88.36
100.00
100.00
383.30
8.315
466.45
9
26 E48506067
Nguyen
John
93.06
94.94
94.94
93.06
376.00
9.158
467.58
7
27E11403044
Pesoli
Adam
71.44
85.54
88.36
78.02
323.36
8.941
412.77
29
28E85005035
Roches
Ted
93.06
91.18
95.88
93.06
373.18
8.503
458.21
16
29 E46501020
Ruther
Kara
93.06
96.82
97.76
74.26
361.90
9.345
455.35
18
30 E28380609
Ryan
Yvette
72.38
100.00
68.62
94.00
335.00
8.192
416.92
28
Jeffery
Tina
31 E32703081
Schmidt
93.06
92.12
99.64
82.72
367.54
9.943
466.97
8
32 E32703082
Wascher
85.88
88.76
82.72
257.36
8.443
341.79
30
33
Transcribed Image Text:T3 fx =IF(R3>=470,"Exceptional",IF(R3<470,"Good",IF(R3<430,"Needs Improvement"))) K L M Q R S Customer Satisfaction 1 Sales figures are expressed in $1,000s. Survey Score 1-10 2 SalespersonID Last Name First Name Q1Sales Q2Sales Q3Sales Q4Sales AnnualSales CSS Score SalesScore Rank Evaluation 3 E10204078 Adams Joan 93.06 96.82 97.76 99.64 387.28 9.158 478.86 2 Exceptional E21594943 Barr Janine 94.94 74.26 96.82 97.76 363.78 8.784 451.62 19 E31605018 Bennett Corey 93.06 93.06 89.30 89.30 364.72 9.473 459.45 14 E31898915 Bradshaw Kathryn 100.00 74.26 86.48 98.70 359.44 8.473 444.17 22 7 E21001056 Breitfelder John 100.00 100.00 93.06 91.18 384.24 9.065 474.89 3 8 E12104087 Brudnicki Randall 93.06 93.06 84.60 98.70 369.42 9.345 462.87 12 E16106015 Саponigro Amy 72.38 100.00 87.42 88.36 348.16 8.503 433.19 24 10E81807011 Cebulski Paul 85.54 74.26 94.94 69.56 324.30 9.349 417.79 27 11 E77698931 Centry Lauren 93.06 84.60 85.54 87.42 350.62 8.222 432.84 25 12 E66506022 Choi Daisy 86.48 100.00 100.00 84.60 371.08 8.503 456.11 17 13 E58108010 Correll Roger 95.54 90.50 88.36 99.30 373.70 9.724 470.94 5 14 E45104044 Dahlman Adam 90.24 85.54 93.06 88.36 357.20 8.128 438.48 23 15 E50406073 Escobar Isabel 93.06 93.06 93.06 93.06 372.24 8.971 461.95 13 16 E43996918 Goldacker Patrick 95.88 97.76 91.18 90.24 375.06 8.784 462.90 10 17 E30201011 Harris Jennifer 100.00 94.94 74.26 96.82 366.02 9.252 458.54 15 18 E23401018 Henderson Shannon 95.54 97.76 96.82 94.26 384.38 8.784 472.22 4 19E11122233 Homan Kristen 96.82 89.30 87.33 94.26 367.71 8.128 448.99 20 20 E64301011 Ivers Susan 89.30 77.34 100.00 89.30 355.94 9.158 447.52 21 21 E17997945 Jones Cynthia 87.42 97.76 89.30 96.82 371.30 9.158 462.88 11 22 E23107057 Lee Ahn 99.64 90.24 100.00 98.70 388.58 9.158 480.16 1 23 E26208076 24E76701016 Lopez Allison 87.42 74.26 86.48 93.06 341.22 8.315 424.37 26 Martinez Carl 86.48 93.06 95.88 98.70 374.12 9.533 469.45 25 E30502016 Meyer Joseph 94.94 88.36 100.00 100.00 383.30 8.315 466.45 9 26 E48506067 Nguyen John 93.06 94.94 94.94 93.06 376.00 9.158 467.58 7 27E11403044 Pesoli Adam 71.44 85.54 88.36 78.02 323.36 8.941 412.77 29 28E85005035 Roches Ted 93.06 91.18 95.88 93.06 373.18 8.503 458.21 16 29 E46501020 Ruther Kara 93.06 96.82 97.76 74.26 361.90 9.345 455.35 18 30 E28380609 Ryan Yvette 72.38 100.00 68.62 94.00 335.00 8.192 416.92 28 Jeffery Tina 31 E32703081 Schmidt 93.06 92.12 99.64 82.72 367.54 9.943 466.97 8 32 E32703082 Wascher 85.88 88.76 82.72 257.36 8.443 341.79 30 33
9. In cell T3 write a formula (use nested IF function, i.e. IF within IF) that will:
show text Exceptional if Joan's SalesScore score was 470 or higher
show text Good if Joan's SalesScore score was less than 470 but higher than or equal to 430
show text Needs Improvement is SalesScore score was less than 430
Transcribed Image Text:9. In cell T3 write a formula (use nested IF function, i.e. IF within IF) that will: show text Exceptional if Joan's SalesScore score was 470 or higher show text Good if Joan's SalesScore score was less than 470 but higher than or equal to 430 show text Needs Improvement is SalesScore score was less than 430
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