SlideShare a Scribd company logo
1 of 12
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
1
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
2
Table of Contents
INTRODUCTION…………………………………………………………………………………………………………………………………………………………… 3
HYPOTHESIS…………………………………………………………………………………………………..………………………………………………………………3
STATISTICAL METHODS……………………………………………………………………………………………………………………………………….…………3
ASSUMPTION…………………………………………………………………………………………………………………………………………………………………4
HYPOTHESIS TEST………………………………………………………………………………………………………………………………..…………………………4
RESULTS…………………………………………………………………………………………………………………………………………………………………………5
SAMPLE CALCULATIONS…………………………………………………………………………………………………………………………………………………7
ANALYSIS AND DISCUSSION……………………………………………………………………………………………………………………………………………8
CONCLUSION………………………………………………………………………………………………………………………………………………………………….9
REFERENCES……………………………………………………………………………………………………………………………………………………….………….10
APPENDIX………………………………………………………………………………………………………………………………………….……………………………11
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
3
I. Introduction
Major League Baseball:More Americanthanapple pie andChevrolet motors.Baseball is one of the oldestAmerican
sportsthat are still playedtoday. Whatwasonce a game playedinsmall rural dirtlots,baseball hasnow become one of
the most popularprofessional Americansports.Stadiumswere constructedtohouse the few hundredfanswhocheered
on the earliestof teams.Battinghelmetsweren’tconstructedyet,paddedgloveswerenon-existent,andeventhe left
fieldercouldpitch.Today,largerandgranderstadiumshave beenimplementedtoseatupwardsof fortythousand
people pergame.AsTV hasemerged,there are more people thatwatchbaseball thaneverwhichtranslatesintomore
fans.The more fansa team has,the more likelytheyare tofill the seatsintheirhome stadium. The mostcovetedseats
inbaseball are to watchthe Fall Classic,the WorldSeries. Stadiumspackwithfansforthe opportunitytosee theirteam
have a chance to win the mostcovetedprize inMajor League Baseball:the WorldSeriesTrophy.Teamsplayhardall
yearfor a shot at it: to be the bestteamin baseball forthe year.
II. Hypothesis
The objective of thisexperimentistocompare the attendance of the WorldSeriesChampiontothe restof the
teamsinthat particulardivision attheirrespective home fields.We suspected thatthe attendance wouldremainthe
same because the same numberof fans that show up to the othergameswould be presentregardlessof whowonthe
WorldSeriesasit isnot theirteam. To do thiswe analyzedthe attendance of the lastthirty yearsof baseball
attendancesacross six teamsperyear.Five of whichwere the divisional teamsthatdidn’twinandthe sixth teamwas
the World Serieswinner.
III. Statistical Methods
To compare the change inattendance of the WorldSerieswinner,we usedthe otherteamsinthe divisiontoobtain
a comparisonforthe average teamsinthe league.The informationforthe attendance foreachteamwasobtainedfrom
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
4
baseball-reference.com.Asthe size of stadiumshasnotchangedsignificantlyinthe past30 years,we didnot feel the
needtoadjustthe data to make reasonable comparisons.
The test that isneededforthissetof data isa large sample hypothesistestforapopulationmean.Thisisa
reasonable testforthe givendataas the data setis largerthan thirty.We will use the average of the otherteamsinthe
divisionof the WorldSerieswinnerasthe mean.The meanof the World Serieswinnerswillthenbe ourlarge sample
populationmean.The standarddeviationof the WorldSerieswinnerswill thenbe obtainedfromthe givendata.
The data collectedforthe sample rangedfromthe winnersof the 1980 World Seriesuptothe winnerof the 2013
WorldSeriessothat we had the data for boththe year that theywonandthe followingyear.Of those years,the 1994
seasonwascancelledsothere will be nodatafor that year.There were gamesplayedin1994 so the data in1993 will be
affectedshowinglarge decreasesinattendance.We alsohave outliersforthe yearsof 1980 and 1981. This wasdue to
the shortenedseasonin1981. Since the seasonwasshortened,the attendance numbersforthese seasonsgiveusa
large attendance decrease in1980 anda large spike in1981. For these reasonsthose yearswill notbe includedinthe
calculationof the meansor standarddeviation.Thisleavesuswithasample size of 30 whichislarge enoughstill thatwe
can assume a normal distribution.
IV. Assumption
Since we have a sample size largerthan30 we can assume that the sample isnormal andcan use the Z tables.Also
since the yearsof 1980 and1981 were outliers,we didnotinclude theminouranalysisof the data,asexplainedinthe
Statistical Methodssection.
V. Hypothesistest
We useda two-tailedhypothesistestforthe average attendance change of the WorldSerieswinnercomparedto
the average attendance change of the teamsinthe same divisionasthe WorldSerieswinner.The null hypothesisisthat
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
5
the percentattendance change forthe WorldSerieswinneristhe same asthat of the otherteamsinthe division.The
alternative hypothesisisthatthe twoare notequal.
VI. Results
Figure 1. Graph shows the Percent Difference in Attendance between 1982 and 2013 for the World Series Winners and Other teams
in their Division. Values from Table 1 and Table 2 within the Appendix were used to plot this graph.
Figure 2. Graph shows the Percent Difference in Attendance between 1982 and 1991 for the World Series Winners and Other teams
in their Division. Values from Table 1 within the Appendix were used to plot this graph.
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
6
Figure 3. Graph shows the Percent Difference in Attendance between 1992 and 2001 for the World Series Winners and Other teams
in their Division. Values from Table 1 and Table 2 within the Appendix were used to plot this graph. There was no World Series in
1994.
Figure 4. Graph shows the Percent Difference in Attendance between 2002 and 2013 for the World Series Winners and Other teams
in their Division. Values from Table 2 within the Appendix were used to plot this graph.
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
7
Figure 5. Graph shows the Average Percent Difference in Attendance between 1982 and 1991 for the World Series Winners and
Other teams in their Division. Values from Table 1 and Table 2 within the Appendix were used to plot this graph. The average
Percent Difference in Attendance experienced in the year after a World Series win between 1982 and 2013 for the World Series
winners was 7.58% increase in attendance. The other teams who were in the samedivision as the World Series winners experienc ed
a .649% increase the following season.
VII. Sample Calculations
Average PercentDifference from1982-2013: WorldSeriesWinner/DivisionPercentDifference
Note:The year 1993 wasexcluded,reasoning being stated in section III statistical methods.
𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 =
𝑆𝑢𝑚 𝑜𝑓 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 𝑓𝑜𝑟 𝑊𝑜𝑟𝑙𝑑 𝑆𝑒𝑟𝑖𝑒𝑠 𝑊𝑖𝑛𝑛𝑒𝑟 (1982 − 2013)
𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑌𝑒𝑎𝑟𝑠 (2013 − 1982)
𝑋 100
𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 =
−38.20+51.55+9.75…5.43−.24+4.33
30
𝑋 100 = 7.58%
Z-score:
𝑧 =
𝛸−µ0
𝜎/√ 𝑛
→ 𝑧 =
7.58−0.649
13.95/√30
= 2.72
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
8
Example of PercentDifference:1982 WorldSeriesWinner
𝐺𝑎𝑚𝑒 𝐴𝑡𝑡𝑒𝑛𝑑𝑎𝑛𝑐𝑒 𝑦𝑒𝑎𝑟 𝑎𝑓𝑡𝑒𝑟 𝑤𝑜𝑟𝑙𝑑 𝑠𝑒𝑟𝑖𝑒𝑠 𝑤𝑖𝑛−𝐺𝑎𝑚𝑒 𝐴𝑡𝑡𝑒𝑛𝑑𝑎𝑛𝑐𝑒 𝑦𝑒𝑎𝑟 𝑜𝑓 𝑊𝑜𝑟𝑙𝑑 𝑆𝑒𝑟𝑖𝑒𝑠 𝑊𝑖𝑛
𝐺𝑎𝑚𝑒 𝐴𝑡𝑡𝑒𝑛𝑑𝑎𝑛𝑐𝑒 𝑦𝑒𝑎𝑟 𝑜𝑓 𝑊𝑜𝑟𝑙𝑑 𝑆𝑒𝑟𝑖𝑒𝑠 𝑊𝑖𝑛
𝑋 100 = % Difference
Ex.
% Difference =
2,317,914 − 2,111,906
2,111,906
𝑋 100 = 9.75%
Example of Average PercentDifference:1982 League Average
The Individual PercentDifference of eachDivisionteamcanbe foundby applyingthe same equationshownabove for
Percentdifference toeachindividual team’sattendancestatsfoundinthe spreadsheet.
𝑆𝑢𝑚 𝑜𝑓 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 𝑜𝑓 𝐷𝑖𝑣𝑖𝑠𝑖𝑜𝑛 𝑇𝑒𝑎𝑚𝑠
𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑇𝑒𝑎𝑚𝑠 𝑖𝑛 𝑎 𝐷𝑖𝑣𝑖𝑠𝑖𝑜𝑛
𝑋 100 =
(−10.44 + 19.71 + 18.45 − 15.89)
4
𝑋 100 = 2.96%
VIII. Analysis& Discussion
The resultsof the hypothesistestyieldedaZ-score of 2.72 as showninthe sample calculations.The corresponding
percentile forthisZ-score is99.67%.Using thisas a two-tailedtestthe probabilitythatthe average attendance change
of the WorldSerieswinneris.0066. Thisis certainlyasignificantresultasitis a verylow probability.Asisseen inFigure
5, while the otherteamsinthe divisionmaintainedasteadyattendance withaverage attendance increase beingless
than 1%, the average increase thatisseeninthe attendance of the WorldSerieswinner isgreaterthan7%.In fact on
onlythree occasionsisitseenthat the winnerof the WorldSerieshasa significantdecrease inattendance whichis
showninFigure 1. In 1993 the decrease isdue to the shortenedseason.1984 and1997 can certainlybe considered
anomaliesasthe otherteamsintheirdivisioninthose yearssaw increasesinthe average attendance.Alsoseenin
Figure 1 is while the WorldSerieswinneralmostalwayssaw anincrease,the otherteamsinthe divisionvariedtoa
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
9
much greaterextent.Gainsmanyyearsare onlymarginal while asignificantnumberof yearsthe otherteamssawan
average loss.
In analyzingthe datainFigures1 through4 and bothtablesone andtwo, we see thatattendance gainsare generally
infavor of the World Serieswinnersascomparedwiththe otherteamsintheirdivision.Infigures3and4 it is evident
that the WorldSerieswinnerinthe 90’s and00’s has hada significantgainintheirattendance the yearafteraWorld
Serieswin.
IX. Conclusion
Witha Z-score as highas 2.72 whichresultedina two-tailedtestresultof .0066 we can safelyrejectthe null
hypothesisthatthe attendance change of the WorldSerieswinneristhe same asthe attendance change of the other
teamsintheirdivision.Sincewe see thatthe attendance gainismuchlargerfor the WorldSerieswinnerwe can
conclude thatwinningiscertainlybeneficialforapositive gaininattendance forthe mostsuccessful team.
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
10
X. References
"Complete Baseball TeamandBaseball TeamEncyclopedias." Baseball-Reference.com.N.p.,n.d. Web.05Dec. 2014.
Navidi,WilliamCyrus. StatisticsforEngineersand Scientists.Boston:McGraw-Hill HigherEducation,2008. Print.
Picture onFront Coverisa picture takenduringthe 2014 World SeriesandwasfoundusingGoogle Images.
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
11
XI. Appendix
Year
World Series
Winner
Game Attendance
year of World Series
win
Game Attendance
year after world
series win
Difference
Percent
Difference
(%)
League
Other Divisional
Teams
Game Attendance
year of World Series
win
Game Attendance
year after world
series win
Difference
Percent
Difference
(%)
Average
Percent
Difference (%)
Phillidelphia 2,376,394 2,128,339 248,055 -10.44
Pittsburgh Pirates 1,024,106 1,225,916 201,810 19.71
Chicago Cubs 1,249,278 1,479,717 230,439 18.45
New York Mets 1,323,036 1,112,774 210,262 -15.89
Boston Red Sox 1,782,285 1,661,615 120,670 -6.77
Detroit Tigers 1,829,636 2,704,794 875,158 47.83
New York Yankees 2,257,976 1,821,815 436,161 -19.32
Toronoto Blue Jays 1,930,415 2,110,009 179,594 9.30
Toronoto Blue Jays 2,110,009 2,468,925 358,916 17.01
New York Yankees 1,821,815 2,214,587 392,772 21.56
Boston Red Sox 1,661,618 1,786,633 125,015 7.52
Baltimore Orioles 2,045,784 2,132,387 86,603 4.23
California Angels 2,567,427 2,655,872 88,445 3.44
Detroit Tigers 2,286,609 1,899,437 387,172 -16.93
Chicago White Sox 1,669,888 1,424,313 245,575 -14.71
Minnesota Twins 1,651,814 1,255,453 396,361 -24.00
San Fransisco 1,528,748 1,917,168 388,420 25.41
Cincinati Reds 1,692,432 2,185,205 492,773 29.12
San Diego Padres 1,805,716 1,454,061 351,655 -19.47
Los Angeles 3,023,208 2,797,409 225,799 -7.47
Chicago White Sox 1,208,060 1,115,749 92,311 -7.64
Kansas City Royals 2,392,471 2,350,184 42,287 -1.77
Oakland A's 1,678,921 1,570,035 108,886 -6.49
Los Angeles Angels 2,696,299 2,340,925 355,374 -13.18
San Diego Padres 1,506,896 2,009,031 502,135 33.32
Cincinati Reds 2,072,528 1,979,320 93,208 -4.50
San Fransisco 1,785,297 2,059,701 274,404 15.37
New York Mets 3,055,445 2,918,710 136,735 -4.48
Kansas City Royals 2,477,700 2,244,956 232,744 -9.39
California Angels 2,647,291 2,555,688 91,603 -3.46
Minnesota Twins 2,277,438 1,751,584 525,854 -23.09
Seattle Mariners 1,298,443 1,509,727 211,284 16.27
Los Angeles 3,002,396 3,348,170 345,774 11.52
San Fransisco 1,975,528 1,737,478 238,050 -12.05
Houston Astros 1,310,927 1,196,152 114,775 -8.76
San Diego Padres 1,856,396 1,804,289 52,107 -2.81
Chicago White Sox 2,934,154 2,681,156 252,998 -8.62
Texas Rangers 2,297,720 2,198,231 99,489 -4.33
Oakland A's 2,713,493 2,494,160 219,333 -8.08
Kansas City Royals 2,161,537 1,867,689 293,848 -13.59
Detroit Tigers 1,423,963 1,971,431 547,468 38.45
New York Yankees 1,748,737 2,416,942 668,205 38.21
Baltimore Orioles 3,567,819 3,644,965 77,146 2.16
Boston Red Sox 2,468,570 2,422,021 46,549 -1.89
Detroit Tigers 1,971,431 1,184,783 786,648 -39.90
New York Yankees 2,416,942 1,675,556 741,386 -30.67
Baltimore Orioles 3,644,965 2,535,359 1,109,606 -30.44
Boston Red Sox 2,422,021 1,775,818 646,203 -26.68
New York Mets 1,273,183 1,588,323 315,140 24.75
Phillidelphia 2,043,598 1,801,677 241,921 -11.84
Florida Marlins 1,700,466 1,746,767 46,301 2.72
Montreal Expos 1,309,618 1,616,709 307,091 23.45
Toronoto Blue Jays 2,559,573 2,589,297 29,724 1.16
Detroit Tigers 1,168,610 1,365,157 196,547 16.82
Baltimore Orioles 3,646,950 3,711,132 64,182 1.76
Boston Red Sox 2,315,231 2,226,136 89,095 -3.85
AL 3.9729567881996
New York
Yankees
2,250,877 2,580,325 329,448.00 14.64
X
1995 Atlanta Braves 2,561,831 2,901,242 339,411.00 13.25 NL 9.771471021
X X X X X X1994
NO WORLD
SERIES
X X X X
AL 19.23352808
1993
Toronto Blue
Jays
4,057,947 2,907,933 1,150,014.00 -28.34 AL -31.92485301
1992
Toronto Blue
Jays
4,028,318 4,057,947 29,629.00 0.74
NL -3.02387156
1991
Minnesota
Twins
2,293,842 2,482,428 188,586.00 8.22 AL -8.657467805
1990 Cincinnati Reds 2,400,892 2,372,377 28,515.00 -1.19
NL 9.930063187
1989
Oakland
Athletics
2,667,225 2,900,217 232,992.00 8.74 AL -4.917854467
1988
Los Angeles
Dodgers
2,980,262 2,944,653 35,609.00 -1.19
NL 6.895146105
1987
Minnesota
Twins
2,081,976 3,030,672 948,696.00 45.57 AL -7.268576007
1986 New York Mets 2,767,601 3,034,129 266,528.00 9.63
AL 12.58161919
1985
Kansas City
Royals
2,162,717 2,320,794 158,077.00 7.31 AL -13.04720823
1984 Detroit Tigers 2,704,794 2,286,609 418,185.00 -15.46
NL 2.955265247
1983
Baltimore
Orioles
2,042,071 2,045,784 3,713.00 0.18 AL 7.762190778
1982
St. Louis
Cardinals
2,111,906 2,317,914 206,008.00 9.75
Table 1. Table displays the Attendance each year for both the World Series winner and the teams in their division. Attendance is
shown for the year the World Series was won and also the attendance the following year. The Percent Difference in attendance was
calculated for both the World Series winner and the other Teams in the division. (Displays years 1982 -1996)
A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin
12
Year
World Series
Winner
Game Attendance
year of World Series
win
Game Attendance
year after world
series win
Difference
Percent
Difference
(%)
League
Other Divisional
Teams
Game Attendance
year of World Series
win
Game Attendance
year after world
series win
Difference
Percent
Difference
(%)
Average
Percent
Difference (%)
Atlanta Braves 3,464,488 3,360,860 103,628 -2.99
New York Mets 1,766,174 2,287,948 521,774 29.54
Montreal Expos 1,497,609 914,909 582,700 -38.91
Phillidelphia 1,490,638 1,715,722 225,084 15.10
Tampa Bay Rays 2,506,293 1,562,827 943,466 -37.64
Toronoto Blue Jays 2,454,303 2,163,464 290,839 -11.85
Baltimore Orioles 3,684,650 3,433,150 251,500 -6.83
Boston Red Sox 2,314,704 2,446,162 131,458 5.68
Tampa Bay Rays 1,562,827 1,449,673 113,154 -7.24
Toronoto Blue Jays 2,163,464 1,705,712 457,752 -21.16
Baltimore Orioles 3,433,150 3,297,031 136,119 -3.96
Boston Red Sox 2,446,162 2,585,895 139,733 5.71
Tampa Bay Rays 1,449,673 1,298,365 151,308 -10.44
Toronoto Blue Jays 1,705,712 1,915,438 209,726 12.30
Baltimore Orioles 3,297,031 3,094,841 202,190 -6.13
Boston Red Sox 2,585,895 2,625,333 39,438 1.53
San Diego Padres 2,378,128 2,220,601 157,527 -6.62
Colorado Rockies 3,166,821 2,737,838 428,983 -13.55
Los Angeles 3,017,143 3,131,255 114,112 3.78
Arizona D-Backs 2,736,451 3,198,977 462,526 16.90
Oakland A's 2,169,811 2,216,596 46,785 2.16
Seattle Mariners 3,542,938 3,268,509 274,429 -7.75
Texas Rangers 2,352,397 2,094,394 258,003 -10.97
Atlanta Braves 2,401,084 2,327,565 73,519 -3.06
Phillidelphia 2,259,948 3,250,092 990,144 43.81
Montreal Expos 1,025,639 749,550 276,089 -26.92
New York Mets 2,140,599 2,318,951 178,352 8.33
Tampa Bay Rays 1,274,911 1,141,669 133,242 -10.45
Toronoto Blue Jays 1,900,041 2,014,995 114,954 6.05
Baltimore Orioles 2,744,018 2,624,740 119,278 -4.35
New York Yankees 3,775,292 4,090,696 315,404 8.35
Cleveland Indians 2,013,763 1,997,995 15,768 -0.78
Minnesota Twins 2,034,243 2,285,018 250,775 12.33
Detroit Tigers 2,024,431 2,595,937 571,506 28.23
Kansas City Royals 1,371,181 1,372,638 1,457 0.11
Houston Astros 3,022,763 3,020,405 2,358 -0.08
Cincinati Reds 2,134,607 2,058,593 76,014 -3.56
Milwaukee Brewers 2,335,643 2,869,144 533,501 22.84
Pittsburgh Pirates 1,861,549 1,749,142 112,407 -6.04
Tampa Bay Rays 1,387,603 1,811,986 424,383 30.58
Toronoto Blue Jays 2,360,644 2,399,786 39,142 1.66
Baltimore Orioles 2,164,822 1,950,075 214,747 -9.92
New York Yankees 4,271,083 4,298,655 27,572 0.65
New York Mets 4,042,045 3,168,571 873,474 -21.61
Florida Marlins 1,335,076 1,464,109 129,033 9.66
Atlanta Braves 2,532,834 2,373,631 159,203 -6.29
Washington 2,320,400 1,817,226 503,174 -21.68
Tampa Bay Rays 1,874,962 1,864,999 9,963 -0.53
Toronoto Blue Jays 1,876,129 1,495,482 380,647 -20.29
Baltimore Orioles 1,907,163 1,733,019 174,144 -9.13
Boston Red Sox 3,062,699 3,046,445 16,254 -0.53
San Diego Padres 2,131,774 2,143,018 11,244 0.53
Colorado Rockies 2,875,245 2,909,777 34,532 1.20
Los Angeles 3,562,320 2,935,139 627,181 -17.61
Arizona D-Backs 2,056,697 2,105,432 48,735 2.37
Milwaukee Brewers 3,071,373 2,831,385 239,988 -7.81
Cincinati Reds 2,213,588 2,347,251 133,663 6.04
Pittsburgh Pirates 1,940,429 2,091,918 151,489 7.81
Chicago Cubs 3,017,966 2,882,756 135,210 -4.48
San Diego Padres 2,123,721 2,166,691 42,970 2.02
Colorado Rockies 2,630,458 2,793,828 163,370 6.21
Los Angeles 3,324,246 3,743,527 419,281 12.61
Arizona D-Backs 2,177,617 2,134,895 42,722 -1.96
Tampa Bay Rays 1,510,300 1,446,464 63,836 -4.23
Toronoto Blue Jays 2,536,562 2,375,525 161,037 -6.35
Baltimore Orioles 2,357,561 2,464,473 106,912 4.53
New York Yankees 3,279,589 3,401,624 122,035 3.72
NL 4.721246674
2013 Boston Red Sox 2,833,333 2,956,089 122,756.00 4.33 AL -0.57986019
2012
San Francisco
Giants
3,377,371 3,369,106 8,265.00 -0.24
NL -3.376983866
2011
St. Louis
Cardinals
3,093,954 3,262,109 168,155.00 5.43 NL 0.387851806
2010
San Francisco
Giants
3,037,443 3,387,303 349,860.00 11.52
NL -9.978806382
2009
New York
Yankees
3,719,358 3,765,807 46,449.00 1.25 AL -7.620521361
2008
Philadelphia
Phillies
3,422,583 3,600,693 178,110.00 5.20
NL 3.291080463
2007 Boston Red Sox 2,970,755 3,048,250 77,495.00 2.61 AL 5.741925899
2006
St. Louis
Cardinals
3,407,104 3,552,180 145,076.00 4.26
AL -0.098353312
2005
Chicago White
Sox
2,342,833 2,957,414 614,581.00 26.23 AL 9.970344897
2004 Boston Red Sox 2,837,294 2,847,888 10,594.00 0.37
AL -5.519096175
2003 Florida Marlins 1,303,215 1,723,105 419,890.00 32.22 NL 5.540980897
2002
Anaheim
Angels
2,305,547 3,061,094 755,547.00 32.77
AL -0.687311207
2001
Arizona
Diamonds
2,736,451 3,198,977 462,526.00 16.90 NL 0.128590472
2000
New York
Yankees
3,055,435 3,264,907 209,472.00 6.86
AL -12.66010164
1999
New York
Yankees
3,292,736 3,055,435 237,301.00 -7.21 AL -6.662784453
1998
New York
Yankees
2,955,193 3,292,736 337,543.00 11.42
1997 Florida Marlins 2,364,387 1,730,384 634,003.00 -26.81 NL 0.685655709
Table 2. Table displays the Attendance each year for both the World Series winner and the teams in their division. Attendance is
shown for the year the World Series was won and also the attendance the following year. The Percent Difference in attendance was
calculated for both the World Series winner and the other Teams in the division. (Displays years 1997-2013)

More Related Content

Similar to FINAL STATISTICS PROJECT

Prévisions des crises
Prévisions des crises Prévisions des crises
Prévisions des crises Jibin Lin
 
International journal of applied sciences and innovation vol 2015 - no 2 - ...
International journal of applied sciences and innovation   vol 2015 - no 2 - ...International journal of applied sciences and innovation   vol 2015 - no 2 - ...
International journal of applied sciences and innovation vol 2015 - no 2 - ...sophiabelthome
 
A study of the decathlon dataset a student20 february 2
A study of the decathlon dataset a student20 february 2A study of the decathlon dataset a student20 february 2
A study of the decathlon dataset a student20 february 2makdul
 
The Problem of the Chinese Basketball Association Competing for the Championship
The Problem of the Chinese Basketball Association Competing for the ChampionshipThe Problem of the Chinese Basketball Association Competing for the Championship
The Problem of the Chinese Basketball Association Competing for the ChampionshipDr. Amarjeet Singh
 
Moving average method maths ppt
Moving average method maths pptMoving average method maths ppt
Moving average method maths pptAbhishek Mahto
 
Tutorial 8 Solutions.docx
Tutorial 8 Solutions.docxTutorial 8 Solutions.docx
Tutorial 8 Solutions.docxLinhLeThiThuy4
 
Lab Based E-portfolio
Lab Based E-portfolioLab Based E-portfolio
Lab Based E-portfolioNor Khamsiah
 
Demand forecasting by time series analysis
Demand forecasting by time series analysisDemand forecasting by time series analysis
Demand forecasting by time series analysisSunny Gandhi
 
Descriptive Statistics, Numerical Description
Descriptive Statistics, Numerical DescriptionDescriptive Statistics, Numerical Description
Descriptive Statistics, Numerical Descriptiongetyourcheaton
 
Lesson 6 coefficient of determination
Lesson 6   coefficient of determinationLesson 6   coefficient of determination
Lesson 6 coefficient of determinationMehediHasan1023
 
Report_Imports of goods and services Canada(2023).docx
Report_Imports of goods and services Canada(2023).docxReport_Imports of goods and services Canada(2023).docx
Report_Imports of goods and services Canada(2023).docxmigneshbirdi
 
Economic Forecasting Final Memo
Economic Forecasting Final MemoEconomic Forecasting Final Memo
Economic Forecasting Final MemoHannah Badgley
 
AP Statistics - Confidence Intervals with Means - One Sample
AP Statistics - Confidence Intervals with Means - One SampleAP Statistics - Confidence Intervals with Means - One Sample
AP Statistics - Confidence Intervals with Means - One SampleFrances Coronel
 
Statistical Modelling of English Premier League Position
Statistical Modelling of English Premier League PositionStatistical Modelling of English Premier League Position
Statistical Modelling of English Premier League PositionJack O'Reilly
 

Similar to FINAL STATISTICS PROJECT (20)

Prévisions des crises
Prévisions des crises Prévisions des crises
Prévisions des crises
 
International journal of applied sciences and innovation vol 2015 - no 2 - ...
International journal of applied sciences and innovation   vol 2015 - no 2 - ...International journal of applied sciences and innovation   vol 2015 - no 2 - ...
International journal of applied sciences and innovation vol 2015 - no 2 - ...
 
A study of the decathlon dataset a student20 february 2
A study of the decathlon dataset a student20 february 2A study of the decathlon dataset a student20 february 2
A study of the decathlon dataset a student20 february 2
 
The Problem of the Chinese Basketball Association Competing for the Championship
The Problem of the Chinese Basketball Association Competing for the ChampionshipThe Problem of the Chinese Basketball Association Competing for the Championship
The Problem of the Chinese Basketball Association Competing for the Championship
 
Moving average method maths ppt
Moving average method maths pptMoving average method maths ppt
Moving average method maths ppt
 
Tutorial 8 Solutions.docx
Tutorial 8 Solutions.docxTutorial 8 Solutions.docx
Tutorial 8 Solutions.docx
 
Time series Analysis
Time series AnalysisTime series Analysis
Time series Analysis
 
Time series
Time series Time series
Time series
 
Lab Based E-portfolio
Lab Based E-portfolioLab Based E-portfolio
Lab Based E-portfolio
 
Demand forecasting by time series analysis
Demand forecasting by time series analysisDemand forecasting by time series analysis
Demand forecasting by time series analysis
 
Descriptive Statistics, Numerical Description
Descriptive Statistics, Numerical DescriptionDescriptive Statistics, Numerical Description
Descriptive Statistics, Numerical Description
 
Lesson 6 coefficient of determination
Lesson 6   coefficient of determinationLesson 6   coefficient of determination
Lesson 6 coefficient of determination
 
Samba0804
Samba0804Samba0804
Samba0804
 
Report_Imports of goods and services Canada(2023).docx
Report_Imports of goods and services Canada(2023).docxReport_Imports of goods and services Canada(2023).docx
Report_Imports of goods and services Canada(2023).docx
 
Economic Forecasting Final Memo
Economic Forecasting Final MemoEconomic Forecasting Final Memo
Economic Forecasting Final Memo
 
AP Statistics - Confidence Intervals with Means - One Sample
AP Statistics - Confidence Intervals with Means - One SampleAP Statistics - Confidence Intervals with Means - One Sample
AP Statistics - Confidence Intervals with Means - One Sample
 
Module4
Module4Module4
Module4
 
timeseries.ppt
timeseries.ppttimeseries.ppt
timeseries.ppt
 
Statistical Modelling of English Premier League Position
Statistical Modelling of English Premier League PositionStatistical Modelling of English Premier League Position
Statistical Modelling of English Premier League Position
 
Econometics - lecture 22 and 23
Econometics - lecture 22 and 23Econometics - lecture 22 and 23
Econometics - lecture 22 and 23
 

FINAL STATISTICS PROJECT

  • 1. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 1
  • 2. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 2 Table of Contents INTRODUCTION…………………………………………………………………………………………………………………………………………………………… 3 HYPOTHESIS…………………………………………………………………………………………………..………………………………………………………………3 STATISTICAL METHODS……………………………………………………………………………………………………………………………………….…………3 ASSUMPTION…………………………………………………………………………………………………………………………………………………………………4 HYPOTHESIS TEST………………………………………………………………………………………………………………………………..…………………………4 RESULTS…………………………………………………………………………………………………………………………………………………………………………5 SAMPLE CALCULATIONS…………………………………………………………………………………………………………………………………………………7 ANALYSIS AND DISCUSSION……………………………………………………………………………………………………………………………………………8 CONCLUSION………………………………………………………………………………………………………………………………………………………………….9 REFERENCES……………………………………………………………………………………………………………………………………………………….………….10 APPENDIX………………………………………………………………………………………………………………………………………….……………………………11
  • 3. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 3 I. Introduction Major League Baseball:More Americanthanapple pie andChevrolet motors.Baseball is one of the oldestAmerican sportsthat are still playedtoday. Whatwasonce a game playedinsmall rural dirtlots,baseball hasnow become one of the most popularprofessional Americansports.Stadiumswere constructedtohouse the few hundredfanswhocheered on the earliestof teams.Battinghelmetsweren’tconstructedyet,paddedgloveswerenon-existent,andeventhe left fieldercouldpitch.Today,largerandgranderstadiumshave beenimplementedtoseatupwardsof fortythousand people pergame.AsTV hasemerged,there are more people thatwatchbaseball thaneverwhichtranslatesintomore fans.The more fansa team has,the more likelytheyare tofill the seatsintheirhome stadium. The mostcovetedseats inbaseball are to watchthe Fall Classic,the WorldSeries. Stadiumspackwithfansforthe opportunitytosee theirteam have a chance to win the mostcovetedprize inMajor League Baseball:the WorldSeriesTrophy.Teamsplayhardall yearfor a shot at it: to be the bestteamin baseball forthe year. II. Hypothesis The objective of thisexperimentistocompare the attendance of the WorldSeriesChampiontothe restof the teamsinthat particulardivision attheirrespective home fields.We suspected thatthe attendance wouldremainthe same because the same numberof fans that show up to the othergameswould be presentregardlessof whowonthe WorldSeriesasit isnot theirteam. To do thiswe analyzedthe attendance of the lastthirty yearsof baseball attendancesacross six teamsperyear.Five of whichwere the divisional teamsthatdidn’twinandthe sixth teamwas the World Serieswinner. III. Statistical Methods To compare the change inattendance of the WorldSerieswinner,we usedthe otherteamsinthe divisiontoobtain a comparisonforthe average teamsinthe league.The informationforthe attendance foreachteamwasobtainedfrom
  • 4. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 4 baseball-reference.com.Asthe size of stadiumshasnotchangedsignificantlyinthe past30 years,we didnot feel the needtoadjustthe data to make reasonable comparisons. The test that isneededforthissetof data isa large sample hypothesistestforapopulationmean.Thisisa reasonable testforthe givendataas the data setis largerthan thirty.We will use the average of the otherteamsinthe divisionof the WorldSerieswinnerasthe mean.The meanof the World Serieswinnerswillthenbe ourlarge sample populationmean.The standarddeviationof the WorldSerieswinnerswill thenbe obtainedfromthe givendata. The data collectedforthe sample rangedfromthe winnersof the 1980 World Seriesuptothe winnerof the 2013 WorldSeriessothat we had the data for boththe year that theywonandthe followingyear.Of those years,the 1994 seasonwascancelledsothere will be nodatafor that year.There were gamesplayedin1994 so the data in1993 will be affectedshowinglarge decreasesinattendance.We alsohave outliersforthe yearsof 1980 and 1981. This wasdue to the shortenedseasonin1981. Since the seasonwasshortened,the attendance numbersforthese seasonsgiveusa large attendance decrease in1980 anda large spike in1981. For these reasonsthose yearswill notbe includedinthe calculationof the meansor standarddeviation.Thisleavesuswithasample size of 30 whichislarge enoughstill thatwe can assume a normal distribution. IV. Assumption Since we have a sample size largerthan30 we can assume that the sample isnormal andcan use the Z tables.Also since the yearsof 1980 and1981 were outliers,we didnotinclude theminouranalysisof the data,asexplainedinthe Statistical Methodssection. V. Hypothesistest We useda two-tailedhypothesistestforthe average attendance change of the WorldSerieswinnercomparedto the average attendance change of the teamsinthe same divisionasthe WorldSerieswinner.The null hypothesisisthat
  • 5. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 5 the percentattendance change forthe WorldSerieswinneristhe same asthat of the otherteamsinthe division.The alternative hypothesisisthatthe twoare notequal. VI. Results Figure 1. Graph shows the Percent Difference in Attendance between 1982 and 2013 for the World Series Winners and Other teams in their Division. Values from Table 1 and Table 2 within the Appendix were used to plot this graph. Figure 2. Graph shows the Percent Difference in Attendance between 1982 and 1991 for the World Series Winners and Other teams in their Division. Values from Table 1 within the Appendix were used to plot this graph.
  • 6. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 6 Figure 3. Graph shows the Percent Difference in Attendance between 1992 and 2001 for the World Series Winners and Other teams in their Division. Values from Table 1 and Table 2 within the Appendix were used to plot this graph. There was no World Series in 1994. Figure 4. Graph shows the Percent Difference in Attendance between 2002 and 2013 for the World Series Winners and Other teams in their Division. Values from Table 2 within the Appendix were used to plot this graph.
  • 7. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 7 Figure 5. Graph shows the Average Percent Difference in Attendance between 1982 and 1991 for the World Series Winners and Other teams in their Division. Values from Table 1 and Table 2 within the Appendix were used to plot this graph. The average Percent Difference in Attendance experienced in the year after a World Series win between 1982 and 2013 for the World Series winners was 7.58% increase in attendance. The other teams who were in the samedivision as the World Series winners experienc ed a .649% increase the following season. VII. Sample Calculations Average PercentDifference from1982-2013: WorldSeriesWinner/DivisionPercentDifference Note:The year 1993 wasexcluded,reasoning being stated in section III statistical methods. 𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 = 𝑆𝑢𝑚 𝑜𝑓 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 𝑓𝑜𝑟 𝑊𝑜𝑟𝑙𝑑 𝑆𝑒𝑟𝑖𝑒𝑠 𝑊𝑖𝑛𝑛𝑒𝑟 (1982 − 2013) 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑌𝑒𝑎𝑟𝑠 (2013 − 1982) 𝑋 100 𝐴𝑣𝑒𝑟𝑎𝑔𝑒 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 = −38.20+51.55+9.75…5.43−.24+4.33 30 𝑋 100 = 7.58% Z-score: 𝑧 = 𝛸−µ0 𝜎/√ 𝑛 → 𝑧 = 7.58−0.649 13.95/√30 = 2.72
  • 8. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 8 Example of PercentDifference:1982 WorldSeriesWinner 𝐺𝑎𝑚𝑒 𝐴𝑡𝑡𝑒𝑛𝑑𝑎𝑛𝑐𝑒 𝑦𝑒𝑎𝑟 𝑎𝑓𝑡𝑒𝑟 𝑤𝑜𝑟𝑙𝑑 𝑠𝑒𝑟𝑖𝑒𝑠 𝑤𝑖𝑛−𝐺𝑎𝑚𝑒 𝐴𝑡𝑡𝑒𝑛𝑑𝑎𝑛𝑐𝑒 𝑦𝑒𝑎𝑟 𝑜𝑓 𝑊𝑜𝑟𝑙𝑑 𝑆𝑒𝑟𝑖𝑒𝑠 𝑊𝑖𝑛 𝐺𝑎𝑚𝑒 𝐴𝑡𝑡𝑒𝑛𝑑𝑎𝑛𝑐𝑒 𝑦𝑒𝑎𝑟 𝑜𝑓 𝑊𝑜𝑟𝑙𝑑 𝑆𝑒𝑟𝑖𝑒𝑠 𝑊𝑖𝑛 𝑋 100 = % Difference Ex. % Difference = 2,317,914 − 2,111,906 2,111,906 𝑋 100 = 9.75% Example of Average PercentDifference:1982 League Average The Individual PercentDifference of eachDivisionteamcanbe foundby applyingthe same equationshownabove for Percentdifference toeachindividual team’sattendancestatsfoundinthe spreadsheet. 𝑆𝑢𝑚 𝑜𝑓 𝑃𝑒𝑟𝑐𝑒𝑛𝑡 𝐷𝑖𝑓𝑓𝑒𝑟𝑒𝑛𝑐𝑒 𝑜𝑓 𝐷𝑖𝑣𝑖𝑠𝑖𝑜𝑛 𝑇𝑒𝑎𝑚𝑠 𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑇𝑒𝑎𝑚𝑠 𝑖𝑛 𝑎 𝐷𝑖𝑣𝑖𝑠𝑖𝑜𝑛 𝑋 100 = (−10.44 + 19.71 + 18.45 − 15.89) 4 𝑋 100 = 2.96% VIII. Analysis& Discussion The resultsof the hypothesistestyieldedaZ-score of 2.72 as showninthe sample calculations.The corresponding percentile forthisZ-score is99.67%.Using thisas a two-tailedtestthe probabilitythatthe average attendance change of the WorldSerieswinneris.0066. Thisis certainlyasignificantresultasitis a verylow probability.Asisseen inFigure 5, while the otherteamsinthe divisionmaintainedasteadyattendance withaverage attendance increase beingless than 1%, the average increase thatisseeninthe attendance of the WorldSerieswinner isgreaterthan7%.In fact on onlythree occasionsisitseenthat the winnerof the WorldSerieshasa significantdecrease inattendance whichis showninFigure 1. In 1993 the decrease isdue to the shortenedseason.1984 and1997 can certainlybe considered anomaliesasthe otherteamsintheirdivisioninthose yearssaw increasesinthe average attendance.Alsoseenin Figure 1 is while the WorldSerieswinneralmostalwayssaw anincrease,the otherteamsinthe divisionvariedtoa
  • 9. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 9 much greaterextent.Gainsmanyyearsare onlymarginal while asignificantnumberof yearsthe otherteamssawan average loss. In analyzingthe datainFigures1 through4 and bothtablesone andtwo, we see thatattendance gainsare generally infavor of the World Serieswinnersascomparedwiththe otherteamsintheirdivision.Infigures3and4 it is evident that the WorldSerieswinnerinthe 90’s and00’s has hada significantgainintheirattendance the yearafteraWorld Serieswin. IX. Conclusion Witha Z-score as highas 2.72 whichresultedina two-tailedtestresultof .0066 we can safelyrejectthe null hypothesisthatthe attendance change of the WorldSerieswinneristhe same asthe attendance change of the other teamsintheirdivision.Sincewe see thatthe attendance gainismuchlargerfor the WorldSerieswinnerwe can conclude thatwinningiscertainlybeneficialforapositive gaininattendance forthe mostsuccessful team.
  • 10. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 10 X. References "Complete Baseball TeamandBaseball TeamEncyclopedias." Baseball-Reference.com.N.p.,n.d. Web.05Dec. 2014. Navidi,WilliamCyrus. StatisticsforEngineersand Scientists.Boston:McGraw-Hill HigherEducation,2008. Print. Picture onFront Coverisa picture takenduringthe 2014 World SeriesandwasfoundusingGoogle Images.
  • 11. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 11 XI. Appendix Year World Series Winner Game Attendance year of World Series win Game Attendance year after world series win Difference Percent Difference (%) League Other Divisional Teams Game Attendance year of World Series win Game Attendance year after world series win Difference Percent Difference (%) Average Percent Difference (%) Phillidelphia 2,376,394 2,128,339 248,055 -10.44 Pittsburgh Pirates 1,024,106 1,225,916 201,810 19.71 Chicago Cubs 1,249,278 1,479,717 230,439 18.45 New York Mets 1,323,036 1,112,774 210,262 -15.89 Boston Red Sox 1,782,285 1,661,615 120,670 -6.77 Detroit Tigers 1,829,636 2,704,794 875,158 47.83 New York Yankees 2,257,976 1,821,815 436,161 -19.32 Toronoto Blue Jays 1,930,415 2,110,009 179,594 9.30 Toronoto Blue Jays 2,110,009 2,468,925 358,916 17.01 New York Yankees 1,821,815 2,214,587 392,772 21.56 Boston Red Sox 1,661,618 1,786,633 125,015 7.52 Baltimore Orioles 2,045,784 2,132,387 86,603 4.23 California Angels 2,567,427 2,655,872 88,445 3.44 Detroit Tigers 2,286,609 1,899,437 387,172 -16.93 Chicago White Sox 1,669,888 1,424,313 245,575 -14.71 Minnesota Twins 1,651,814 1,255,453 396,361 -24.00 San Fransisco 1,528,748 1,917,168 388,420 25.41 Cincinati Reds 1,692,432 2,185,205 492,773 29.12 San Diego Padres 1,805,716 1,454,061 351,655 -19.47 Los Angeles 3,023,208 2,797,409 225,799 -7.47 Chicago White Sox 1,208,060 1,115,749 92,311 -7.64 Kansas City Royals 2,392,471 2,350,184 42,287 -1.77 Oakland A's 1,678,921 1,570,035 108,886 -6.49 Los Angeles Angels 2,696,299 2,340,925 355,374 -13.18 San Diego Padres 1,506,896 2,009,031 502,135 33.32 Cincinati Reds 2,072,528 1,979,320 93,208 -4.50 San Fransisco 1,785,297 2,059,701 274,404 15.37 New York Mets 3,055,445 2,918,710 136,735 -4.48 Kansas City Royals 2,477,700 2,244,956 232,744 -9.39 California Angels 2,647,291 2,555,688 91,603 -3.46 Minnesota Twins 2,277,438 1,751,584 525,854 -23.09 Seattle Mariners 1,298,443 1,509,727 211,284 16.27 Los Angeles 3,002,396 3,348,170 345,774 11.52 San Fransisco 1,975,528 1,737,478 238,050 -12.05 Houston Astros 1,310,927 1,196,152 114,775 -8.76 San Diego Padres 1,856,396 1,804,289 52,107 -2.81 Chicago White Sox 2,934,154 2,681,156 252,998 -8.62 Texas Rangers 2,297,720 2,198,231 99,489 -4.33 Oakland A's 2,713,493 2,494,160 219,333 -8.08 Kansas City Royals 2,161,537 1,867,689 293,848 -13.59 Detroit Tigers 1,423,963 1,971,431 547,468 38.45 New York Yankees 1,748,737 2,416,942 668,205 38.21 Baltimore Orioles 3,567,819 3,644,965 77,146 2.16 Boston Red Sox 2,468,570 2,422,021 46,549 -1.89 Detroit Tigers 1,971,431 1,184,783 786,648 -39.90 New York Yankees 2,416,942 1,675,556 741,386 -30.67 Baltimore Orioles 3,644,965 2,535,359 1,109,606 -30.44 Boston Red Sox 2,422,021 1,775,818 646,203 -26.68 New York Mets 1,273,183 1,588,323 315,140 24.75 Phillidelphia 2,043,598 1,801,677 241,921 -11.84 Florida Marlins 1,700,466 1,746,767 46,301 2.72 Montreal Expos 1,309,618 1,616,709 307,091 23.45 Toronoto Blue Jays 2,559,573 2,589,297 29,724 1.16 Detroit Tigers 1,168,610 1,365,157 196,547 16.82 Baltimore Orioles 3,646,950 3,711,132 64,182 1.76 Boston Red Sox 2,315,231 2,226,136 89,095 -3.85 AL 3.9729567881996 New York Yankees 2,250,877 2,580,325 329,448.00 14.64 X 1995 Atlanta Braves 2,561,831 2,901,242 339,411.00 13.25 NL 9.771471021 X X X X X X1994 NO WORLD SERIES X X X X AL 19.23352808 1993 Toronto Blue Jays 4,057,947 2,907,933 1,150,014.00 -28.34 AL -31.92485301 1992 Toronto Blue Jays 4,028,318 4,057,947 29,629.00 0.74 NL -3.02387156 1991 Minnesota Twins 2,293,842 2,482,428 188,586.00 8.22 AL -8.657467805 1990 Cincinnati Reds 2,400,892 2,372,377 28,515.00 -1.19 NL 9.930063187 1989 Oakland Athletics 2,667,225 2,900,217 232,992.00 8.74 AL -4.917854467 1988 Los Angeles Dodgers 2,980,262 2,944,653 35,609.00 -1.19 NL 6.895146105 1987 Minnesota Twins 2,081,976 3,030,672 948,696.00 45.57 AL -7.268576007 1986 New York Mets 2,767,601 3,034,129 266,528.00 9.63 AL 12.58161919 1985 Kansas City Royals 2,162,717 2,320,794 158,077.00 7.31 AL -13.04720823 1984 Detroit Tigers 2,704,794 2,286,609 418,185.00 -15.46 NL 2.955265247 1983 Baltimore Orioles 2,042,071 2,045,784 3,713.00 0.18 AL 7.762190778 1982 St. Louis Cardinals 2,111,906 2,317,914 206,008.00 9.75 Table 1. Table displays the Attendance each year for both the World Series winner and the teams in their division. Attendance is shown for the year the World Series was won and also the attendance the following year. The Percent Difference in attendance was calculated for both the World Series winner and the other Teams in the division. (Displays years 1982 -1996)
  • 12. A Statistical SurveyonAttendance the YearFollowingaWorldSeriesWin 12 Year World Series Winner Game Attendance year of World Series win Game Attendance year after world series win Difference Percent Difference (%) League Other Divisional Teams Game Attendance year of World Series win Game Attendance year after world series win Difference Percent Difference (%) Average Percent Difference (%) Atlanta Braves 3,464,488 3,360,860 103,628 -2.99 New York Mets 1,766,174 2,287,948 521,774 29.54 Montreal Expos 1,497,609 914,909 582,700 -38.91 Phillidelphia 1,490,638 1,715,722 225,084 15.10 Tampa Bay Rays 2,506,293 1,562,827 943,466 -37.64 Toronoto Blue Jays 2,454,303 2,163,464 290,839 -11.85 Baltimore Orioles 3,684,650 3,433,150 251,500 -6.83 Boston Red Sox 2,314,704 2,446,162 131,458 5.68 Tampa Bay Rays 1,562,827 1,449,673 113,154 -7.24 Toronoto Blue Jays 2,163,464 1,705,712 457,752 -21.16 Baltimore Orioles 3,433,150 3,297,031 136,119 -3.96 Boston Red Sox 2,446,162 2,585,895 139,733 5.71 Tampa Bay Rays 1,449,673 1,298,365 151,308 -10.44 Toronoto Blue Jays 1,705,712 1,915,438 209,726 12.30 Baltimore Orioles 3,297,031 3,094,841 202,190 -6.13 Boston Red Sox 2,585,895 2,625,333 39,438 1.53 San Diego Padres 2,378,128 2,220,601 157,527 -6.62 Colorado Rockies 3,166,821 2,737,838 428,983 -13.55 Los Angeles 3,017,143 3,131,255 114,112 3.78 Arizona D-Backs 2,736,451 3,198,977 462,526 16.90 Oakland A's 2,169,811 2,216,596 46,785 2.16 Seattle Mariners 3,542,938 3,268,509 274,429 -7.75 Texas Rangers 2,352,397 2,094,394 258,003 -10.97 Atlanta Braves 2,401,084 2,327,565 73,519 -3.06 Phillidelphia 2,259,948 3,250,092 990,144 43.81 Montreal Expos 1,025,639 749,550 276,089 -26.92 New York Mets 2,140,599 2,318,951 178,352 8.33 Tampa Bay Rays 1,274,911 1,141,669 133,242 -10.45 Toronoto Blue Jays 1,900,041 2,014,995 114,954 6.05 Baltimore Orioles 2,744,018 2,624,740 119,278 -4.35 New York Yankees 3,775,292 4,090,696 315,404 8.35 Cleveland Indians 2,013,763 1,997,995 15,768 -0.78 Minnesota Twins 2,034,243 2,285,018 250,775 12.33 Detroit Tigers 2,024,431 2,595,937 571,506 28.23 Kansas City Royals 1,371,181 1,372,638 1,457 0.11 Houston Astros 3,022,763 3,020,405 2,358 -0.08 Cincinati Reds 2,134,607 2,058,593 76,014 -3.56 Milwaukee Brewers 2,335,643 2,869,144 533,501 22.84 Pittsburgh Pirates 1,861,549 1,749,142 112,407 -6.04 Tampa Bay Rays 1,387,603 1,811,986 424,383 30.58 Toronoto Blue Jays 2,360,644 2,399,786 39,142 1.66 Baltimore Orioles 2,164,822 1,950,075 214,747 -9.92 New York Yankees 4,271,083 4,298,655 27,572 0.65 New York Mets 4,042,045 3,168,571 873,474 -21.61 Florida Marlins 1,335,076 1,464,109 129,033 9.66 Atlanta Braves 2,532,834 2,373,631 159,203 -6.29 Washington 2,320,400 1,817,226 503,174 -21.68 Tampa Bay Rays 1,874,962 1,864,999 9,963 -0.53 Toronoto Blue Jays 1,876,129 1,495,482 380,647 -20.29 Baltimore Orioles 1,907,163 1,733,019 174,144 -9.13 Boston Red Sox 3,062,699 3,046,445 16,254 -0.53 San Diego Padres 2,131,774 2,143,018 11,244 0.53 Colorado Rockies 2,875,245 2,909,777 34,532 1.20 Los Angeles 3,562,320 2,935,139 627,181 -17.61 Arizona D-Backs 2,056,697 2,105,432 48,735 2.37 Milwaukee Brewers 3,071,373 2,831,385 239,988 -7.81 Cincinati Reds 2,213,588 2,347,251 133,663 6.04 Pittsburgh Pirates 1,940,429 2,091,918 151,489 7.81 Chicago Cubs 3,017,966 2,882,756 135,210 -4.48 San Diego Padres 2,123,721 2,166,691 42,970 2.02 Colorado Rockies 2,630,458 2,793,828 163,370 6.21 Los Angeles 3,324,246 3,743,527 419,281 12.61 Arizona D-Backs 2,177,617 2,134,895 42,722 -1.96 Tampa Bay Rays 1,510,300 1,446,464 63,836 -4.23 Toronoto Blue Jays 2,536,562 2,375,525 161,037 -6.35 Baltimore Orioles 2,357,561 2,464,473 106,912 4.53 New York Yankees 3,279,589 3,401,624 122,035 3.72 NL 4.721246674 2013 Boston Red Sox 2,833,333 2,956,089 122,756.00 4.33 AL -0.57986019 2012 San Francisco Giants 3,377,371 3,369,106 8,265.00 -0.24 NL -3.376983866 2011 St. Louis Cardinals 3,093,954 3,262,109 168,155.00 5.43 NL 0.387851806 2010 San Francisco Giants 3,037,443 3,387,303 349,860.00 11.52 NL -9.978806382 2009 New York Yankees 3,719,358 3,765,807 46,449.00 1.25 AL -7.620521361 2008 Philadelphia Phillies 3,422,583 3,600,693 178,110.00 5.20 NL 3.291080463 2007 Boston Red Sox 2,970,755 3,048,250 77,495.00 2.61 AL 5.741925899 2006 St. Louis Cardinals 3,407,104 3,552,180 145,076.00 4.26 AL -0.098353312 2005 Chicago White Sox 2,342,833 2,957,414 614,581.00 26.23 AL 9.970344897 2004 Boston Red Sox 2,837,294 2,847,888 10,594.00 0.37 AL -5.519096175 2003 Florida Marlins 1,303,215 1,723,105 419,890.00 32.22 NL 5.540980897 2002 Anaheim Angels 2,305,547 3,061,094 755,547.00 32.77 AL -0.687311207 2001 Arizona Diamonds 2,736,451 3,198,977 462,526.00 16.90 NL 0.128590472 2000 New York Yankees 3,055,435 3,264,907 209,472.00 6.86 AL -12.66010164 1999 New York Yankees 3,292,736 3,055,435 237,301.00 -7.21 AL -6.662784453 1998 New York Yankees 2,955,193 3,292,736 337,543.00 11.42 1997 Florida Marlins 2,364,387 1,730,384 634,003.00 -26.81 NL 0.685655709 Table 2. Table displays the Attendance each year for both the World Series winner and the teams in their division. Attendance is shown for the year the World Series was won and also the attendance the following year. The Percent Difference in attendance was calculated for both the World Series winner and the other Teams in the division. (Displays years 1997-2013)