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Transcript

  • 1. Group No. 3
    Quants Live Project
  • 2. Overview
    Objective
    Introduction
    Tools Used
    Implementation
    Conclusion
  • 3. Objective
    To find out the most consistent player
    To find out the better Batsmen/Bowler
    To conclude that the runs scored are independent of days and weeks
  • 4. Introduction..
    • We have analyzed T20 Cricket data of the Indian Team’s performance at the International Level.
    • 5. Data obtained is of batsmen and bowlers which is distinguished.
    • 6. ASSUMPTION- Player will not be considered for the consistency test if played only 1 match.
  • Tools Used
    Standard Deviation
    Coefficient of Variance
    Correlation
    Chi - square
  • 7. Standard Deviation
    • Is most useful in describing or analyzing a data.
    • 8. It is also useful for comparative purposes.
    • 9. It is the minimum when the deviations are measured from the arithmetic mean.
    • 10. It is the square root of variance
    Variance for Ungrouped data
    1/n ∑xi^2 – mean^2
  • 11. Coefficient of Variance
    • It is also known as Relative dispersion.
    • 12. It is a stastical measure introduced by Karl Pearson.
    • 13. It helps in studying the relative dispersion of two or more sets of data.
    • 14. Lesser the CV, more the consistency.
    CV = (S.D/mean) * 100
  • 15. Correlation
    • It is the degree of relationship between two or more variables.
    • 16. Also referred to as Co-variation.
    • 17. It is of two types :
    1. Simple correlation
    2. Multiple correlation
     In this analysis, we have considered Simple Correlation.
    ∑xiyi – n.mean(x.y)
    √(∑xi^2 – nx^-2) * √(∑yi^2 – ny^-2)
  • 18. Chi - Square
    • In Chi Square cases, null and alternative hypothesis to be tested are :
    • 19. H0 : There is no association or dependence of 1 factor on another.
    • 20. H1 : There is association or dependence of 1 factor on the other.
    Uses of Chi Square Test :
     It is a test of significance for association/ dependence.
     It is a test of Goodness of Fit.
    X^2(k-1) = ∑ [(Oi– ei)^2]/ei
    k
    i=1
  • 21. Implementation..
    Datasheet
  • 22. Conclusion
    Based on the analysis, the names of the players who should be a part of the final T20 Team are :
    GautamGambhir
    Yuvraj Singh
    Rohit Sharma
    VirendarSehwag
    M.S.Dhoni
    R.P.Singh
    IrfanPathan
    Harbhajan Singh
  • 23. Submitted By : Group 3
    Pratiksha Saikia
    Sneha Sahal
    Vibhuti Bhatt
    Ashish Hablani
    Bejoy P. Alex
    Debabrata Halder
    Naveen Kumar
    Prashant Dixit
    Robin Singh