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RANSINGH SATYAJIT RAY

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About RANSINGH SATYAJIT RAY

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  • Name
    RANSINGH SATYAJIT RAY
  • Company
    AXALTA COATING SYSTEMS
  • Designation
    DATA ANALYST

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  1. Thanks VK, One question does all Equipment Life data should in generally follow Weibull distribution or it is confined to specific product. Any example of its application?
  2. Is reliability and maintainability linked with Six Sigma. Is there any significant application of Weibull distribution.
  3. RANSINGH SATYAJIT RAY

    CENTRAL LIMIT THEOREM

    In the central limit theorem (CLT) establishes that, in some situations, when independent random variables are added, their properly normalised sum tends toward a normal distribution even if the original variables themselves are not normally distributed. The Question is how could this be proven as it looks very intimidating at times. Why is 30 considered the minimum sample size in some forms of statistical analysis? Is there any rationale for this.
  4. RANSINGH SATYAJIT RAY

    Skewness and Kurtosis

    Given the skewness and Kurtosis we could predict the shape of a probability distribution. Skewness: The Lack of Symmetry in the probability distribution is called Skewness, A distribution is positive skewed when it has a long tail to the right (Right tail are + skewed) and a distribution is negative skewed if it has a long tail towards left. Further it is also interesting to know that when we check the data points using the Box plot if the mean of the dataset is greater that the median then its negative skewed and when the mean is less than median then its positive skewed. Kurtosis: The sharpness in the probability distribution is referred to as Kurtosis. Flatter curves are PlatyKurtic (-ve Kurtosis) and Sharper curves are (+ve Kurtosis)
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