Description
Complete the problems below from the textbook. You will need to use the “Baseball 2012 Data” and the “Buena School District Bus Data” files for this assignment.
- Chapter 10 – Problem 8
- Chapter 10 – Problem 13
- Chapter 10 – Problem 51
- Chapter 10 – Problem 52
For problems requiring computations, please ensure that your Excel file includes the associated cell computations and/or statistics output. This information is needed in order to receive full credit on these problems.
Complete the problems below from the textbook. You will need to use the “Baseball 2012 Data” and the
“Buena School District Bus Data” files for this assignment.
1.
2.
3.
4.
Chapter
Chapter
Chapter
Chapter
10
10
10
10
– Problem
– Problem
– Problem
– Problem
8
13
51
52
For problems requiring computations, please ensure that your Excel file includes the associated cell
computations and/or statistics output. This information is needed in order to receive full credit on
these problems.
8. At the time she was hired as a server at the Grumney Family Restaurant, Beth Brigden was
told, “You can average $80 a day in tips.” Assume the population of daily tips is normally
distributed with a standard deviation of $9.95. Over the first 35 days she was employed at the
restaurant, the mean daily amount of her tips was $84.85. At the .01 significance level, can
Ms. Brigden conclude that her daily tips average more than $80?
13. The mean income per person in the United States is $40,000, and the distribution of incomes follows a normal distribution. A random sample of 10 residents of Wilmington, Delaware, had a mean of $50,000 with a standard deviation of $10,000. At the .05 level of
significance, is that enough evidence to conclude that residents of Wilmington, Delaware,
have more income than the national average?
51. Refer to the Baseball 2012 data, which report information on the 30 Major League
Baseball teams for the 2012 season.
a. Conduct a test of hypothesis to determine whether the mean salary of the teams was
different from $80.0 million. Use the .05 significance level.b. Using a 5% significance level,
conduct a test of hypothesis to determine whether the mean attendance was more than
2,000,000 per team.
52. Refer to the Buena School District bus data.a. Select the variable for the number of miles
traveled last month. Conduct a test of hypothesis to determine whether the mean number of
miles traveled is equal to 840. Use the .01 significance level. Find the p-value and explain
what it means.b. Using the maintenance cost variable, conduct a test of hypothesis to
determine whether the mean maintenance cost is less than $500 at the .05 significance level.
Determine the p-value and interpret the result.
Frequency Distribution – Quantitative
Maintenance
lower
320
340
360
380
400
420
440
460
480
500
520
540
560
Percent
Histogram
20
18
16
14
12
10
8
6
4
2
0
Maintenance
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
1st quartile
median
3rd quartile
Maintenance
80
450.29
2,882.18
53.69
329
570
241
420.00
456.00
489.75
upper
<
<
<
<
<
<
<
<
<
<
<
<
<
340
360
380
400
420
440
460
480
500
520
540
560
580
midpoint
330
350
370
390
410
430
450
470
490
510
530
550
570
width
20
20
20
20
20
20
20
20
20
20
20
20
20
frequency
3
3
1
8
5
12
12
15
7
8
1
3
2
80
interquartile range
mode
low extremes
low outliers
high outliers
high extremes
69.75
329.00
0
0
0
0
Frequency Distribution – Quantitative
Maintenance
lower
upper
300
350
400
450
500
550
<
<
<
<
<
<
350
400
450
500
550
600
midpoint
325
375
425
475
525
575
width
50
50
50
50
50
50
frequency
3
12
22
29
11
3
80
midpoint
343
378
413
448
483
518
553
587
width
35
35
35
35
35
35
35
35
frequency
6
8
12
20
20
9
4
1
80
Histogram
40
35
Percent
30
25
20
15
10
5
0
Maintenance
Frequency Distribution – Quantitative
Maintenance
lower
325
360
395
430
465
500
535
570
upper
<
<
<
<
<
<
<
<
360
395
430
465
500
535
570
605
Histogram
30
25
Percent
20
15
10
5
0
Maintenance
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
1st quartile
median
3rd quartile
interquartile range
mode
Miles
80
827.53
1,188.20
34.47
741
908
167
806.00
827.00
851.50
45.50
815.00
low extremes
low outliers
high outliers
high extremes
0
0
0
0
BoxPlot
1/28/2010 16:03.39 (1)
600
650
700
750
800
Miles
850
900
950
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
1st quartile
median
3rd quartile
interquartile range
mode
Miles
80
827.53
1,188.20
34.47
741
908
167
806.00
827.00
851.50
45.50
815.00
low extremes
low outliers
high outliers
high extremes
0
0
0
0
BoxPlot
1/28/2010 16:06.08 (1)
600
650
700
750
800
850
900
950
850
900
950
Miles
DotPlot
1/28/2010
16:06.08 (1)
600
650
700
750
800
Miles
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
Miles
80
830.11
1,779.85
42.19
741
1008
267
1st quartile
median
3rd quartile
interquartile range
mode
806.00
827.00
851.50
45.50
815.00
low extremes
low outliers
high outliers
high extremes
0
0
1
1
BoxPlot
1/28/2010 16:08.20 (1)
600
650
700
750
800
850
900
950
1000
1050
950
1000
1050
Miles
DotPlot
1/28/2010
16:08.20 (1)
600
650
700
750
800
850
900
Miles
Correlation Matrix
Maintenance
Age
Miles
Maintenance
1.000
.465
.450
Age
Miles
1.000
.522
1.000
80 sample size
± .220 critical value .05 (two-tail)
± .286 critical value .01 (two-tail)
percent
3.8
3.8
1.3
10.0
6.3
15.0
15.0
18.8
8.8
10.0
1.3
3.8
2.5
100.0
cumulative
frequency percent
3
3.8
6
7.5
7
8.8
15
18.8
20
25.0
32
40.0
44
55.0
59
73.8
66
82.5
74
92.5
75
93.8
78
97.5
80
100.0
percent
3.8
15.0
27.5
36.3
13.8
3.8
100.0
percent
7.5
10.0
15.0
25.0
25.0
11.3
5.0
1.3
100.0
cumulative
frequency percent
3
3.8
15
18.8
37
46.3
66
82.5
77
96.3
80
100.0
cumulative
frequency percent
6
7.5
14
17.5
26
32.5
46
57.5
66
82.5
75
93.8
79
98.8
80
100.0
Data Set 3 –Buena School District Bus Data
Bus Number
X1
Maintenance
X2
Age
X3
Miles
X4
Type
X5
Bus-Mfg
X6
Passenger
X7
135
120
200
40
427
759
10
880
481
387
326
861
122
156
887
686
490
370
464
875
883
57
482
704
989
731
75
162
732
751
600
948
358
833
692
61
9
314
396
365
329
503
505
466
359
546
427
474
382
422
433
474
558
561
357
329
497
459
355
489
436
455
514
503
380
432
478
406
471
444
493
452
461
496
469
442
414
459
457
462
7
10
10
10
7
8
5
9
3
8
9
10
10
12
8
3
10
8
3
9
2
7
11
8
9
6
6
3
9
2
10
9
6
8
8
9
4
11
2
6
853
883
822
865
751
870
780
857
818
869
848
845
885
838
760
741
859
826
806
858
785
828
980
857
803
819
821
798
815
757
1008
831
849
839
812
809
864
859
815
799
Diesel
Diesel
Diesel
Gasoline
Gasoline
Diesel
Gasoline
Gasoline
Gasoline
Gasoline
Diesel
Gasoline
Gasoline
Diesel
Diesel
Diesel
Gasoline
Gasoline
Gasoline
Diesel
Gasoline
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Keiser
Keiser
Keiser
Keiser
Bluebird
Bluebird
Bluebird
Bluebird
Thompson
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Keiser
Keiser
Bluebird
Keiser
Bluebird
Thompson
Bluebird
Keiser
Keiser
Thompson
Thompson
Keiser
55 Passenger
42 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
14 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
42 Passenger
55 Passenger
55 Passenger
42 Passenger
14 Passenger
55 Passenger
42 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
398
43
500
279
693
884
977
38
725
982
724
603
168
45
754
39
671
418
984
953
507
540
695
193
321
918
101
714
678
768
29
554
767
699
954
705
660
520
814
353
570
439
369
390
469
381
501
432
392
441
448
468
467
478
515
411
504
504
392
423
410
529
477
540
450
390
424
433
428
494
396
458
493
475
476
403
337
492
426
449
9
9
5
2
9
9
7
6
5
1
8
4
7
6
14
6
8
9
8
10
7
4
2
11
6
5
4
7
7
7
6
4
6
9
10
4
6
10
4
4
844
832
842
792
775
882
874
837
774
823
790
800
827
830
895
804
866
842
851
835
866
846
802
847
856
799
827
817
842
815
784
817
816
816
827
806
819
836
757
817
Diesel
Gasoline
Gasoline
Diesel
Gasoline
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Gasoline
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Thompson
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Keiser
Thompson
Keiser
Keiser
Bluebird
Thompson
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Thompson
Bluebird
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Bluebird
Keiser
14 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
14 Passenger
55 Passenger
55 Passenger
42 Passenger
14 Passenger
55 Passenger
55 Passenger
14 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
42 Passenger
55 Passenger
42 Passenger
55 Passenger
14 Passenger
55 Passenger
55 Passenger
42 Passenger
42 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
Team
League
X1
X2
Opened Seating Capacity
X3
X4
Salary 2012
X5
Arizona Diamondbacks
0
1998
48633
74,3
Atlanta Braves
0
1996
49586
83,3
Baltimore Orioles
1
1992
45971
81,4
Boston Red Sox
1
1912
37495
173,2
Chicago Cubs
0
1914
41009
88,2
Chicago White Sox
1
1991
40615
96,9
Cincinnati Reds
0
2003
42319
82,2
Cleveland Indians
1
1994
43429
78,4
Colorado Rockies
0
1995
50398
78,1
Detroit Tigers
1
2000
41255
132,3
Houston Astros
0
2000
40981
60,7
Kansas City Royals
1
1973
37903
60,9
Los Angeles Angels
1
1966
45957
154,5
Los Angeles Dodgers
0
1962
56000
95,1
Miami Marlins
0
2012
36742
118,1
Milwaukee Brewers
0
2001
41900
97,7
Minnesota Twins
1
2010
39504
94,1
New York Mets
0
2009
41922
93,4
New York Yankees
1
2009
50287
198
Oakland Athletics
1
1966
35067
55,4
Philadelphia Phillies
0
2004
43651
174,5
Pittsburgh Pirates
0
2001
38362
63,4
San Diego Padres
0
2004
42691
55,2
San Francisco Giants
0
2000
41915
117,6
Seattle Mariners
1
1999
47860
82
St. Louis Cardinals
0
2006
43975
110,3
Tampa Bay Rays
1
1990
34078
64,2
Texas Rangers
1
1994
48194
120,5
Toronto Blue Jays
1
1989
49260
75,5
Washington Nationals
0
2008
41487
81,3
Wins
Attendance
BA
ERA
HR
Errors
SB
X6
X7
X8
X9
X 10
X 11
X 12
81
2,18
0,259
3,93
165
90
93
94
2,42
0,247
3,42
149
86
101
93
2,1
0,247
3,9
214
106
58
69
3,04
0,26
4,7
165
101
97
61
2,88
0,24
4,51
137
105
94
85
1,97
0,255
4,02
211
70
109
97
2,35
0,251
3,34
172
89
87
68
1,6
0,251
4,78
136
96
110
64
2,63
0,274
5,22
166
122
100
88
3,03
0,268
3,75
163
99
59
55
1,61
0,236
4,56
146
118
105
72
1,74
0,265
4,3
131
113
132
89
3,06
0,274
4,02
187
98
134
86
3,32
0,252
3,34
116
98
104
69
2,22
0,244
4,09
137
103
149
83
2,83
0,259
4,22
202
99
158
66
2,78
0,26
4,77
131
107
135
95
2,24
0,249
4,09
139
101
79
74
3,54
0,265
3,85
245
74
93
94
1,68
0,238
3,48
195
111
122
81
3,57
0,255
3,83
158
101
116
79
2,09
0,243
3,86
170
112
73
76
2,12
0,247
4,01
121
121
155
94
3,38
0,269
3,68
103
115
118
75
1,72
0,234
3,76
149
72
104
88
3,26
0,271
3,71
159
107
91
90
1,56
0,24
3,19
175
114
134
93
3,46
0,273
3,99
200
85
91
73
2,1
0,245
4,64
198
101
123
98
2,37
0,261
3,33
194
94
105
Average Salary
1989
$512.930
1990
$578.930
1991
$891.188
1992
$1.084.408
1993
$1.120.254
1994
$1.188.679
1995
$1.071.029
1996
$1.176.967
1997
$1.383.578
1998
$1.441.406
1999
$1.720.050
2000
$1.988.034
2001
$2.264.403
2002
$2.383.235
2003
$2.555.476
2004
$2.486.609
2005
$2.632.655
2006
$2.866.544
2007
$2.944.556
2008
$3.154.845
2009
$3.240.206
2010
$3.297.828
2011
$3.305.393
2012
$3.440.000
Purchase answer to see full
attachment
“Buena School District Bus Data” files for this assignment.
1.
2.
3.
4.
Chapter
Chapter
Chapter
Chapter
10
10
10
10
– Problem
– Problem
– Problem
– Problem
8
13
51
52
For problems requiring computations, please ensure that your Excel file includes the associated cell
computations and/or statistics output. This information is needed in order to receive full credit on
these problems.
8. At the time she was hired as a server at the Grumney Family Restaurant, Beth Brigden was
told, “You can average $80 a day in tips.” Assume the population of daily tips is normally
distributed with a standard deviation of $9.95. Over the first 35 days she was employed at the
restaurant, the mean daily amount of her tips was $84.85. At the .01 significance level, can
Ms. Brigden conclude that her daily tips average more than $80?
13. The mean income per person in the United States is $40,000, and the distribution of incomes follows a normal distribution. A random sample of 10 residents of Wilmington, Delaware, had a mean of $50,000 with a standard deviation of $10,000. At the .05 level of
significance, is that enough evidence to conclude that residents of Wilmington, Delaware,
have more income than the national average?
51. Refer to the Baseball 2012 data, which report information on the 30 Major League
Baseball teams for the 2012 season.
a. Conduct a test of hypothesis to determine whether the mean salary of the teams was
different from $80.0 million. Use the .05 significance level.b. Using a 5% significance level,
conduct a test of hypothesis to determine whether the mean attendance was more than
2,000,000 per team.
52. Refer to the Buena School District bus data.a. Select the variable for the number of miles
traveled last month. Conduct a test of hypothesis to determine whether the mean number of
miles traveled is equal to 840. Use the .01 significance level. Find the p-value and explain
what it means.b. Using the maintenance cost variable, conduct a test of hypothesis to
determine whether the mean maintenance cost is less than $500 at the .05 significance level.
Determine the p-value and interpret the result.
Frequency Distribution – Quantitative
Maintenance
lower
320
340
360
380
400
420
440
460
480
500
520
540
560
Percent
Histogram
20
18
16
14
12
10
8
6
4
2
0
Maintenance
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
1st quartile
median
3rd quartile
Maintenance
80
450.29
2,882.18
53.69
329
570
241
420.00
456.00
489.75
upper
<
<
<
<
<
<
<
<
<
<
<
<
<
340
360
380
400
420
440
460
480
500
520
540
560
580
midpoint
330
350
370
390
410
430
450
470
490
510
530
550
570
width
20
20
20
20
20
20
20
20
20
20
20
20
20
frequency
3
3
1
8
5
12
12
15
7
8
1
3
2
80
interquartile range
mode
low extremes
low outliers
high outliers
high extremes
69.75
329.00
0
0
0
0
Frequency Distribution – Quantitative
Maintenance
lower
upper
300
350
400
450
500
550
<
<
<
<
<
<
350
400
450
500
550
600
midpoint
325
375
425
475
525
575
width
50
50
50
50
50
50
frequency
3
12
22
29
11
3
80
midpoint
343
378
413
448
483
518
553
587
width
35
35
35
35
35
35
35
35
frequency
6
8
12
20
20
9
4
1
80
Histogram
40
35
Percent
30
25
20
15
10
5
0
Maintenance
Frequency Distribution – Quantitative
Maintenance
lower
325
360
395
430
465
500
535
570
upper
<
<
<
<
<
<
<
<
360
395
430
465
500
535
570
605
Histogram
30
25
Percent
20
15
10
5
0
Maintenance
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
1st quartile
median
3rd quartile
interquartile range
mode
Miles
80
827.53
1,188.20
34.47
741
908
167
806.00
827.00
851.50
45.50
815.00
low extremes
low outliers
high outliers
high extremes
0
0
0
0
BoxPlot
1/28/2010 16:03.39 (1)
600
650
700
750
800
Miles
850
900
950
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
1st quartile
median
3rd quartile
interquartile range
mode
Miles
80
827.53
1,188.20
34.47
741
908
167
806.00
827.00
851.50
45.50
815.00
low extremes
low outliers
high outliers
high extremes
0
0
0
0
BoxPlot
1/28/2010 16:06.08 (1)
600
650
700
750
800
850
900
950
850
900
950
Miles
DotPlot
1/28/2010
16:06.08 (1)
600
650
700
750
800
Miles
Descriptive statistics
count
mean
sample variance
sample standard deviation
minimum
maximum
range
Miles
80
830.11
1,779.85
42.19
741
1008
267
1st quartile
median
3rd quartile
interquartile range
mode
806.00
827.00
851.50
45.50
815.00
low extremes
low outliers
high outliers
high extremes
0
0
1
1
BoxPlot
1/28/2010 16:08.20 (1)
600
650
700
750
800
850
900
950
1000
1050
950
1000
1050
Miles
DotPlot
1/28/2010
16:08.20 (1)
600
650
700
750
800
850
900
Miles
Correlation Matrix
Maintenance
Age
Miles
Maintenance
1.000
.465
.450
Age
Miles
1.000
.522
1.000
80 sample size
± .220 critical value .05 (two-tail)
± .286 critical value .01 (two-tail)
percent
3.8
3.8
1.3
10.0
6.3
15.0
15.0
18.8
8.8
10.0
1.3
3.8
2.5
100.0
cumulative
frequency percent
3
3.8
6
7.5
7
8.8
15
18.8
20
25.0
32
40.0
44
55.0
59
73.8
66
82.5
74
92.5
75
93.8
78
97.5
80
100.0
percent
3.8
15.0
27.5
36.3
13.8
3.8
100.0
percent
7.5
10.0
15.0
25.0
25.0
11.3
5.0
1.3
100.0
cumulative
frequency percent
3
3.8
15
18.8
37
46.3
66
82.5
77
96.3
80
100.0
cumulative
frequency percent
6
7.5
14
17.5
26
32.5
46
57.5
66
82.5
75
93.8
79
98.8
80
100.0
Data Set 3 –Buena School District Bus Data
Bus Number
X1
Maintenance
X2
Age
X3
Miles
X4
Type
X5
Bus-Mfg
X6
Passenger
X7
135
120
200
40
427
759
10
880
481
387
326
861
122
156
887
686
490
370
464
875
883
57
482
704
989
731
75
162
732
751
600
948
358
833
692
61
9
314
396
365
329
503
505
466
359
546
427
474
382
422
433
474
558
561
357
329
497
459
355
489
436
455
514
503
380
432
478
406
471
444
493
452
461
496
469
442
414
459
457
462
7
10
10
10
7
8
5
9
3
8
9
10
10
12
8
3
10
8
3
9
2
7
11
8
9
6
6
3
9
2
10
9
6
8
8
9
4
11
2
6
853
883
822
865
751
870
780
857
818
869
848
845
885
838
760
741
859
826
806
858
785
828
980
857
803
819
821
798
815
757
1008
831
849
839
812
809
864
859
815
799
Diesel
Diesel
Diesel
Gasoline
Gasoline
Diesel
Gasoline
Gasoline
Gasoline
Gasoline
Diesel
Gasoline
Gasoline
Diesel
Diesel
Diesel
Gasoline
Gasoline
Gasoline
Diesel
Gasoline
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Keiser
Keiser
Keiser
Keiser
Bluebird
Bluebird
Bluebird
Bluebird
Thompson
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Keiser
Keiser
Bluebird
Keiser
Bluebird
Thompson
Bluebird
Keiser
Keiser
Thompson
Thompson
Keiser
55 Passenger
42 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
14 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
42 Passenger
55 Passenger
55 Passenger
42 Passenger
14 Passenger
55 Passenger
42 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
398
43
500
279
693
884
977
38
725
982
724
603
168
45
754
39
671
418
984
953
507
540
695
193
321
918
101
714
678
768
29
554
767
699
954
705
660
520
814
353
570
439
369
390
469
381
501
432
392
441
448
468
467
478
515
411
504
504
392
423
410
529
477
540
450
390
424
433
428
494
396
458
493
475
476
403
337
492
426
449
9
9
5
2
9
9
7
6
5
1
8
4
7
6
14
6
8
9
8
10
7
4
2
11
6
5
4
7
7
7
6
4
6
9
10
4
6
10
4
4
844
832
842
792
775
882
874
837
774
823
790
800
827
830
895
804
866
842
851
835
866
846
802
847
856
799
827
817
842
815
784
817
816
816
827
806
819
836
757
817
Diesel
Gasoline
Gasoline
Diesel
Gasoline
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Gasoline
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Diesel
Diesel
Gasoline
Thompson
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Keiser
Thompson
Keiser
Keiser
Bluebird
Thompson
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Bluebird
Thompson
Bluebird
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Keiser
Bluebird
Bluebird
Bluebird
Keiser
14 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
14 Passenger
55 Passenger
55 Passenger
42 Passenger
14 Passenger
55 Passenger
55 Passenger
14 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
6 Passenger
55 Passenger
55 Passenger
42 Passenger
55 Passenger
42 Passenger
55 Passenger
14 Passenger
55 Passenger
55 Passenger
42 Passenger
42 Passenger
55 Passenger
55 Passenger
55 Passenger
55 Passenger
Team
League
X1
X2
Opened Seating Capacity
X3
X4
Salary 2012
X5
Arizona Diamondbacks
0
1998
48633
74,3
Atlanta Braves
0
1996
49586
83,3
Baltimore Orioles
1
1992
45971
81,4
Boston Red Sox
1
1912
37495
173,2
Chicago Cubs
0
1914
41009
88,2
Chicago White Sox
1
1991
40615
96,9
Cincinnati Reds
0
2003
42319
82,2
Cleveland Indians
1
1994
43429
78,4
Colorado Rockies
0
1995
50398
78,1
Detroit Tigers
1
2000
41255
132,3
Houston Astros
0
2000
40981
60,7
Kansas City Royals
1
1973
37903
60,9
Los Angeles Angels
1
1966
45957
154,5
Los Angeles Dodgers
0
1962
56000
95,1
Miami Marlins
0
2012
36742
118,1
Milwaukee Brewers
0
2001
41900
97,7
Minnesota Twins
1
2010
39504
94,1
New York Mets
0
2009
41922
93,4
New York Yankees
1
2009
50287
198
Oakland Athletics
1
1966
35067
55,4
Philadelphia Phillies
0
2004
43651
174,5
Pittsburgh Pirates
0
2001
38362
63,4
San Diego Padres
0
2004
42691
55,2
San Francisco Giants
0
2000
41915
117,6
Seattle Mariners
1
1999
47860
82
St. Louis Cardinals
0
2006
43975
110,3
Tampa Bay Rays
1
1990
34078
64,2
Texas Rangers
1
1994
48194
120,5
Toronto Blue Jays
1
1989
49260
75,5
Washington Nationals
0
2008
41487
81,3
Wins
Attendance
BA
ERA
HR
Errors
SB
X6
X7
X8
X9
X 10
X 11
X 12
81
2,18
0,259
3,93
165
90
93
94
2,42
0,247
3,42
149
86
101
93
2,1
0,247
3,9
214
106
58
69
3,04
0,26
4,7
165
101
97
61
2,88
0,24
4,51
137
105
94
85
1,97
0,255
4,02
211
70
109
97
2,35
0,251
3,34
172
89
87
68
1,6
0,251
4,78
136
96
110
64
2,63
0,274
5,22
166
122
100
88
3,03
0,268
3,75
163
99
59
55
1,61
0,236
4,56
146
118
105
72
1,74
0,265
4,3
131
113
132
89
3,06
0,274
4,02
187
98
134
86
3,32
0,252
3,34
116
98
104
69
2,22
0,244
4,09
137
103
149
83
2,83
0,259
4,22
202
99
158
66
2,78
0,26
4,77
131
107
135
95
2,24
0,249
4,09
139
101
79
74
3,54
0,265
3,85
245
74
93
94
1,68
0,238
3,48
195
111
122
81
3,57
0,255
3,83
158
101
116
79
2,09
0,243
3,86
170
112
73
76
2,12
0,247
4,01
121
121
155
94
3,38
0,269
3,68
103
115
118
75
1,72
0,234
3,76
149
72
104
88
3,26
0,271
3,71
159
107
91
90
1,56
0,24
3,19
175
114
134
93
3,46
0,273
3,99
200
85
91
73
2,1
0,245
4,64
198
101
123
98
2,37
0,261
3,33
194
94
105
Average Salary
1989
$512.930
1990
$578.930
1991
$891.188
1992
$1.084.408
1993
$1.120.254
1994
$1.188.679
1995
$1.071.029
1996
$1.176.967
1997
$1.383.578
1998
$1.441.406
1999
$1.720.050
2000
$1.988.034
2001
$2.264.403
2002
$2.383.235
2003
$2.555.476
2004
$2.486.609
2005
$2.632.655
2006
$2.866.544
2007
$2.944.556
2008
$3.154.845
2009
$3.240.206
2010
$3.297.828
2011
$3.305.393
2012
$3.440.000
Purchase answer to see full
attachment
Categories: