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  • A random variable X is said to follow Poisson distribution, if it follows the following probability distribution function.

    Poisson distribution is a discrete probability distribution.

    It models the following […]

  • Let X be a random variable, it is said to follow binomial distribution if it follows the following probability mass function. And it can have only non-negative values. The binomial distribution is a discrete […]

  • Uniform Distribution or Rectangular Distribution
    Uniform distribution or rectangular distribution is a continuous probability distribution.
    Definition-
    A random variable X is said to follow uniform or […]

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    Why is normal distribution is important?
    To understand the question you have to go through the Central Limit Theorem.
    Central Limit Theorem
    According to central limit theorem if X1, X2, X3,……Xn are […]

  • Correlation
    Correlation measures  the relation between two variables  that how they are related.  And is denoted by r and  ρ moreover, the correlation quantifies the level of relationship between -1 to +1. If t […]

  • Standard Deviation Variance and Covariance
    Standard deviation, variance and covariance have very important applications in machine learning and data science. Further, they are closely related to each other. In […]

  • Skewness and Kurtosis-
    Introduction-
    Skewness and Kurtosis are very important  concepts in statistics and have several applications.  In addition, they characterize the nature of data distribution which make d […]

  • Measures of central tendency in statistics  refers to a value which characterizes all the the data.  Mean, median and mode are very important measures of central tendency. Measures of central tendency is very f […]

  • Frequency distribution  in statistics refers to a graph or table which depicts or illustrate the occurrences of values.

    Frequency distribution is very important in study of statistics, machine learning and […]

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