SPSS分析实例

About 1969-2000 Major League Baseballdata statisticsStatistical analysis softwareName：Zhi JiangStudet number：0704100349Major：StatisticsClass: Statistics0703ContentsAbstract、Key words (3)Formal Text (4)Introduction to the data (4)Summary statistic (5)Explortery data analsys (11)Conclusion (18)DESCRIPTIVE ABSTRACT:Data are from The Baseball Encyclopedia (1993) and Total Baseball (2001). They include the location, league affiliation (National or American), division affiliation (East, Central, or West), season of play, home game attendance, runs scored, runs allowed, wins, losses, and number of games behind the division leader for each major league franchise for the 1969 through 2000 seasons. Other data (including opening dates for new stadia, and dates of work stoppages) were collected from Ballparks by Munsey and Suppes (2001) and InfoPlease (2001).Key words:Classroom data; Exploratory data analysis; Regression analysisIntroduction to the data:NAME: 1969-2000 Major League Baseball Attendance data TYPE: CensusSIZE: 838 team/seasons (records), 10 variables (fields)VARIABLE DESCRIPTIONS:This dataset was taken from The Baseball Encyclopedia (1993) and Total Baseball (2001). Location of the franchise represents thehome city or state of the franchise. Season, league affiliation(National or American), and division affiliation (East, Central, or West) are self-explanatory. Home game attendance represents the reported number of fans in attendance for the franchise's home games during the corresponding season. Runs scored and runs allowed represent the sums of runs scored and runs allowed by the franchise over all games during the corresponding season. Wins and losses represent the total number of games won and lost by the franchise during the corresponding season. This dataset includes variables that could potentially explainvariation in recent attendance for Major League Baseball franchises.Thus, these data are of interest to anyone wishing to study therelationships between attendance and various performancevariables of the teams, and are potentially useful in applied statistics and economics/econometrics courses.The Dataset: These data appear in most encyclopedic sources on baseball, including The Baseball Encyclopedia (1993) and Total Baseball (2001). The data include Runs Scored, Runs Allowed, Wins, Losses, Number of Games Behind the Division Leader, and Home Game Attendance for each major league franchise for each season from 1969 through 2000. Also included for each franchise are its location, league affiliation (National or American), and divisionaffiliation (East, Central, or West). Many important events in major league baseball occurred over the period included in the data.Summary statistic：franchiseList1Frequency Percent Valid Percent Cumulative PercentValid ANA 4 .5 .5 .5ARI 3 .4 .4 .8ATL 32 3.8 3.8 4.7BAL 32 3.8 3.8 8.5BOS 32 3.8 3.8 12.3CAL 28 3.3 3.3 15.6CHIA 32 3.8 3.8 19.5CHIN 32 3.8 3.8 23.3CIN 32 3.8 3.8 27.1CLE 32 3.8 3.8 30.9COL 8 1.0 1.0 31.9DET 32 3.8 3.8 35.7FL 8 1.0 1.0 36.6HOU 32 3.8 3.8 40.5KC 32 3.8 3.8 44.3LA 32 3.8 3.8 48.1MILA 28 3.3 3.3 51.4MILN 3 .4 .4 51.8MIN 32 3.8 3.8 55.6MON 32 3.8 3.8 59.4NYA 32 3.8 3.8 63.2NYN 32 3.8 3.8 67.1OAK 32 3.8 3.8 70.9PHI 32 3.8 3.8 74.7PIT 32 3.8 3.8 78.5SD 32 3.8 3.8 82.3SEA 25 3.0 3.0 85.3SF 32 3.8 3.8 89.1STL 32 3.8 3.8 93.0TB 3 .4 .4 93.3TEX 29 3.5 3.5 96.8TOR 24 2.9 2.9 99.6WAS 3 .4 .4 100.0Total 838 100.0 100.0This form is particularly occupation baseball major league camppower frequency distribution table, from now on the form can knowthat the ANA brigade once has 4 times, the ARI brigade has over 3times and other troopses acquire particularly camp power of numberof times, and each troops at always particularly the proportion thatcamp power has.LAnow on the form can know that American occupation baseball major league troops is more 26 than international occupation baseball major league, the proportion ratio had is a little bit bigger.DAList3frequency distribution table, from now on the form can know the east of the United States, circumstance in the distributing of central part and the west troops, can see, eastern and the west the troops don't greatly distribute difference, while central part and two other regions compare to have an obvious margin.This diagram is 69-2000 years, occupation baseball major league troops lord field attendance repeatedly number distribute a histogram, from now on the diagram can keep a troops of seeing of view lord the difference of of field attendance not big, appear on the average for have a very few number troops 1777994 times lord field attendance exceeded 4000000 times.LAList4a round flat cake diagram, from now on the diagram can keep a seeing of view an American occupation baseball major league troops is bigger than the specific weight that international occupation baseball major league troops has.DAThis diagram is the east of the United States, central part and western troops to repeatedly count to distribute a form diagram, from now on the diagram can keep watching troops in an eastern region distribute more, the western region is smaller, while the central part region is farer far small than other two sides areas.Descriptive StatisticsList6This form is occupation baseball major league each troops obtain a victorious description statistics analysis, from now on the form can see, the field time of troops average victory is 78 times, at least winning a time is 37 times, at most winning a time is 114 times, Sigma is 12.67,variance is 160.613.Chart440.0060.0080.00100.00Losses255075C o u ntThis diagram is occupation baseball major league each troops fall the form hurting to distribute diagram, from now on the diagram can probably see the circumstance and difference that falls to hurt of the of a troops.Explortery data analsys：Case Processing SummaryList7individual case 393, western individual case 375, three regions all are worth without the imperfection.DescriptivesList8DA Statistic Std. Error Runsscored CENT Mean 754.4429 13.6904795% Confidence Interval for Mean Lower Bound 727.1311 Upper Bound781.75465% Trimmed Mean 755.9127Median 754.0000Variance 13120.018Std. Deviation 114.54265Minimum 466Maximum ***Range 543.00Interquartile Range 146.50Skewness -.228 .287Kurtosis -.027 .566 EAST Mean 693.1018 5.0650695% Confidence Interval for Mean Lower Bound 683.1437 Upper Bound703.05995% Trimmed Mean 695.9008Median 695.0000Variance 10082.362Std. Deviation 100.41097Minimum 329Maximum 965Range 636.00 Interquartile Range 124.50Skewness -.416 .123 Kurtosis .759 .246WEST Mean 685.7600 5.4200695% Confidence Interval for Mean Lower Bound 675.1024 Upper Bound 696.41765% Trimmed Mean 686.2993Median 682.0000Variance 11016.381Std. Deviation 104.95895Minimum 378Maximum 993Range 615.00Interquartile Range 119.00Skewness -.049 .126Kurtosis .719 .251The form is the cent set that circulates to obtain power description statistics result, the form upper part cent is the statistics that the central region movement obtains power, include to all count to 754.4 among them, all count a confidence interval to 727.1311~781.7546, median is 754, 5% revises zone to 755.9127, standard error margin is 13.69047, variance is 13120.018, the least is worth to 466, the biggest value BE***, all be apart from to 543, all of the quarterback are apart from to 146.5 and be partial to one degree coefficient for-0.228, be partial to a standard error margin of one degree coefficient to 0.287, Feng degree coefficientBE-0.027, Feng degree the standard error margin of the coefficient is0.556.The form central part cent is the statistics that movement in the eastern region obtains power, include to all count to 693.1018 among them, all count a confidence interval to 683.1437~703.0599, median is 695, 5% revises zone to 695.9008, standard error margin is 5.06506, variance is 10082.362, the least is worth to 329, biggest be worth to 965, all be apart from to 636, all of the quarterback are apart from to 124.5 and be partial to one degree coefficient for-0.416, be partial to a standard error margin of one degree coefficient to 0.123, Feng degree coefficientBE-0.759, Feng degree the standard error margin of the coefficient is0.246.The form lower part cent is the statistics that movement in the western region obtains power, include to all count to 685.76 among them, all count a confidence interval to 675.1024~696.4176, median is 682, 5% revises zone to 686.2993, standard error margin is 5.42006, variance is 11016.381, the least is worth to 378, biggest be worth to 993, all be apart from to 615, all of the quarterback are apart from to 199 and be partial to one degree coefficient for-0.049, be partial to a standard error margin of one degree coefficient to 0.126, Feng degree coefficient BE-0.719, Feng degree the standard error margin of the coefficient is 0.251.M-Estimators List9DAHuber'sM-Estimator(a)Tukey'sBiweight(b)Hampel'sM-Estimator(c)Andrews'Wave(d)Runsscored CENT 757.7037 760.5963 759.0337 760.8345EAST 695.8116 697.8147 696.7812 697.9027WEST 684.7332 684.4949 685.1124 684.4379a The weighting constant is 1.339.b The weighting constant is 4.685.c The weighting constants are 1.700, 3.400, and 8.500d The weighting constant is 1.340*pi.This form for 4 different powers weigh next make trend in the center of rough biggest however make sure to count.A, b, c, the d means 4 kinds of constants that add power.List10 PercentilesExtreme ValuesList10DA Case Number ValueRunsscored CENT Highest 1 783 ***2 817 9783 695 9524 813 9505 831 938Lowest 1 655 4662 651 5003 656 5354 641 5475 684 563EAST Highest 1 755 9652 693 9493 694 9284 785 9005 612 899Lowest 1 303 3292 313 3483 311 3704 315 4075 302 421WEST Highest 1 705 9932 835 9683 719 9614 820 9475 792 945Lowest 1 307 3782 321 3823 319 3944 317 3955 306 397This form can get the biggest 5 pieces in 3 sets and minimum of 5 pieces, and include these values to should of ID.Chart5Runsscored Stem-and-Leaf Plot forDA= CENTFrequency Stem & Leaf1.00 Extremes (=<466)6.00 5 . 03467913.00 6 . 002235578888927.00 7 . 00123444444445555677777777918.00 8 . 0112234556667778994.00 9 . 35571.00 10 . 0Stem width: 100Each leaf: 1 case(s)Runsscored Stem-and-Leaf Plot forDA= EASTFrequency Stem & Leaf9.00 Extremes (=<443)6.00 4 . 69&12.00 5 . 0123433.00 5 . 556677778889999960.00 6 . 0000011111122222333334444444484.00 6 . 555555666666666777777888888888899999999981.00 7 . 000000000001111222222233333333333344444455.00 7 . 55555666677777788889999999934.00 8 . 00011112223344415.00 8 . 5567799&2.00 9 . &2.00 Extremes (>=949)Stem width: 100Each leaf: 2 case(s)& denotes fractional leaves.Runsscored Stem-and-Leaf Plot forDA= WESTFrequency Stem & Leaf8.00 Extremes (=<450)11.00 4 . 567812.00 5 . 344&32.00 5 . 5567788889961.00 6 . 00011111222333333444496.00 6 . 555556666667777777888888999999967.00 7 . 000011111223333344444444.00 7 . 55556667788899920.00 8 . 000234&10.00 8 . 56&5.00 9 . 029.00 Extremes (>=925)Stem width: 100Each leaf: 3 case(s)& denotes fractional leaves.This diagram is the caulis leaf's diagram of three regions, each Stem and the number that each Leaf constitute mutually add again multiply StemWidth, namely caulis what leaf means is the approximation of actual number.Chart6This diagram is the box of three regions diagram, black line part for the corpus that each region distributes, top and bottom two lines mean to change the 75th of measuring the value, 2,500 cent number.0 mean each strange value that the region exists.ANOVAList11AttendanceSum ofSquares df Mean Square F Sig.Between Groups (Combined) 127479338971096.30651961220599555.3294.317 .000 Linear Term Weighted 100523526451707.101100523526451707.100221.261 .000 Deviation 26955812519389.23064421184570615.457.927 .639Within Groups 350735346282274.700 772454320396738.698Total 478214685253371.00837This form is analytical for single factor variance result form, from now on the form can see, lord field attendant number of times' winning with troops don't show.Conclusion：By completing this thesis, I learned many things. For example, in the course of searching for data, learned about statistical management software for knowledge, at the same time look for data by browsing the Web site, abroad or foreign statistics just got a little bit of understanding. Project, also make them become more familiar with the teacher's knowledge, but also mastered how to SPSS software for data management, statistical analysis, chart analysis and other knowledge, also learned some teachers in class that was not mentioned.Of course, upon completion of the thesis also found himself in learning is not enough, learn about on his own vulnerability, make them more skilled at application software.By finishing paper, not just for the consolidation of learning and testing, more exercise my own solution to the problem, explore the skills. I believe that this experience, papers on the future is a boon for study or work.。