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Baseball Data Exploring - Statistics Project Example

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Summary

The statistic project "Baseball Data Exploring" is based on player game-play statistics in 1990. The data available are vast and cover a range of variables. This paper outlines data manipulation, difference between success, hypothesis testing, the scores a player records in a game. …

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Subject: Statistics
Type: Statistics Project
Level: Undergraduate
Pages: 6 (1500 words)
Downloads: 0
Author: rodgerwehner

Extract of sample "Baseball Data Exploring"

Baseball statistics Baseball statistics Introduction Baseball is amongst the most popular games in the United s and is known to attract huge interest amongst upcoming sports personality. Many have had successfully baseball careers and just like any other sports, others have had rather unsuccessful careers. This paper is based on player game-play statistics in 1990. The data availed are vast and cover a range of variables. However, this study does not cover all these variables. It instead looks at the effect of the number of bats on player scores over the period, effect of the number of games on the number of the scores by a player during a season. Data manipulation The data provided in the study are manipulated before being analyzed with the help of Excel’s analysis toolpak. The totals for each player across the entire season are generated and used as the basis of study. In this context, the researcher seeks to create operational data for analysis of the described possible relationship. Other than presenting descriptive statistics results, the paper presents Bats Scores Mean 350.8269 Mean 57.36538 Standard Error 37.73883 Standard Error 16.54597 Median 412 Median 72.5 Mode 0 Mode 121 Standard Deviation 272.1386 Standard Deviation 119.3147 Sample Variance 74059.4 Sample Variance 14236 Kurtosis -1.70606 Kurtosis -1.28354 Skewness -0.19298 Skewness -0.23232 Range 697 Range 413 Minimum 0 Minimum -160 Maximum 697 Maximum 253 Sum 18243 Sum 2983 Count 52 Count 52 Confidence Level(95.0%) 75.76386 Confidence Level(95.0%) 33.21743 Success 1 and success 2 has potential to differ in terms of value. In this instance, the analysis presumes that there is a relationship between success 1 and success n2 and hence the first hypothesis is formulated around this assumption. The question responded to here is: does success 1 results differ from success 2 results? HO: There is no significant difference between success 1 and success 2. HA: There is a significant difference between success 1 and success 2 The results output is as shown, t-Test: Two-Sample Assuming Equal Variances Variable 1 Variable 2 Mean 212.9433962 277.2453 Variance 1087.285196 2482.612 Observations 53 53 Pooled Variance 1784.948476 Hypothesized Mean Difference 0 df 104 t Stat -7.834906378 P(T Read More

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