Snapdeal Interview Question | Probability Distribution

Question

Explain a probability distribution that is not normal and how to apply that?

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Dhruv2301 4 years 2 Answers 799 views Great Grand Master 0

Answers ( 2 )

  1. Uniform Distribution
    When you roll a fair die, the outcomes are 1 to 6. The probabilities of getting these outcomes are equally likely and that is the basis of a uniform distribution

  2. The Exponential Distribution is usually observed in events which significantly change early on. Often used with dynamically changing variables, like online website traffic or radioactive decay.

    ?~ ??? (?)

    •??=? ?
    • ??? ? = ? ??

  3. A distribution that is not normal can be skewed. It’s either left-skewed or right-skewed.

    Left Skewed:- When a major chunk of the data points lie on the right side. For example, in a very easy test, the probability of getting higher scores is huge.
    Right Skewed:- When a major chunk of the data points lie on the left side. For example, among all the adults, the probability of selling a new gadget is higher for people with age between 18-35

    Now, most of the machine learning model assumes that our data is normally distributed so we need to deal with such data:-
    1. Log Transform
    2. Square Root Transform
    3. Box-Cox Transform

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