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1 2 : 2 1 PM 0 . 0 KB / s A 1 B Vo 5 G LTE N 4 9 2 3 Data

12:21 PM
0.0KB/s
A
1
B
Vo
5G
LTE N
49
2
3
Data
4 Nick Foles 119.2,203
Quarterback Data
5 Peyton Manning 115.1,450
6 Josh McCown 109.0,149
7 Philip Rivers 105.5,378
8 Aaron Rodgers 104.9,193
9 Drew Brees 104.7,446
10 Russell Wilson 101.2,257
11 Tony Romo 96.700,342
12 Ben Roethlisberger 92.00,375
13 Colin Kaepernick 91.600,243
14 Sam Bradford 90.900,159
15 Matt Ryan 89.60,439
16 Jay Cutler 89.20,224
17 Alex Smith 89.10,308
18 Andy Dalton 88.80,363
19 Cam Newton 88.80,292
20 Tom Brady 87.30,380
21 Andrew Luck 87.00,343
22 Matthew Stafford 84.20,371
23 Mike Glennon 83.90,247
24 Carson Palmer 83.90,362
25 Robert Griffin 82.20,274
26 Ryan Fitzpatrick 82.00,217
27 Ryan Tannehill 81.70,355
28 Matt Cassel 81.60,153
29 Kellen Clemens 78.80,142
30 Case Keenum 78.20,137
31
32
33
Average
Rating
Completions
D12:21 PM
0.0KB/s
5G
Vo
LTE
49
E
F
H
Column A contains a QB's name, followed by his QB rating, followed by the number
of passes he completed during the 2013 season. Create formulas to extract his
rating into column B and his number of completions into column C and find the
average of all QB's ratings and completions.
Highlight completions cell where QB completion is less than the average
completion.
*You will have to use the VALUE function to convert text into numbers before you
can average.

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