FA FINAL PROJECT.docx - UNIT 1 Descriptive Statistics AICHI...

This preview shows page 1 - 2 out of 4 pages.

The preview shows page 1 - 2 out of 4 pages.
UNIT 1Descriptive StatisticsAICHISTEELARECELLORMITTALBAKERSTEELRESOURCESBAOSHAN IRONSTEEL CONUCORTATASTEELTHYSSENKRUPP STEELMean4032.34721.2869951.883155.99042952.82859445.219716.85628Median4080.00022.5100045.750005.63000050.16000378.930017.73500Maximum6110.00035.92000118.000011.84000126.17001519.40026.73000Minimum2482.0006.46000013.250003.56000028.42000179.06003.550000Std. Dev.850.85596.46936023.793061.63088314.37567226.71765.743558Skewness0.211877-0.5362130.5636780.6762662.3574912.378362-0.480087Kurtosis2.3105922.2454332.4220772.64432110.154319.7552712.296748Jarque-Bera43.24749113.5566105.9921129.16754848.4674508.01293.54792Probability0.0000000.0000000.0000000.0000000.0000000.000000INTERPRETATIONIn order to assess the basic feature of the data, descriptive statistics are calculated. It is seen thatskewness of Baker Steel Resources & Baoshan Iron & Steel Co is more than 0.5 but less than 1signifying moderate skewness, Aichi Steel with approximately symmetric distribution, ArecellorMittal& Thyssenkrupp Steel with negative skewness and Nucor & Tata Steel with highly skewed. Kurtosis ofArecellorMittal, Aichi Steel, Baker Steel Resources, Baoshan Iron & Steel Co, Thyssenkrupp Steel,Nucor & Tata Steel is more than 0, i.e., it is Leptokurtic indicating heavy steep curves on both sides.

Upload your study docs or become a

Course Hero member to access this document

Upload your study docs or become a

Course Hero member to access this document

End of preview. Want to read all 4 pages?

Upload your study docs or become a

Course Hero member to access this document

Term
Fall
Professor
professor_unknown
Tags
Autocorrelation, Statistical hypothesis testing, Autoregressive moving average model, thyssenkrupp Steel

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture