Moonfrog Interview Questions | Normal Distribution

Question

Explain Normal Distribution. Also, give a real life example of normal distribution.

in progress 0
Dhruv2301 55 years 3 Answers 1103 views Great Grand Master 0

Answers ( 3 )

  1. swap007
    1
    Reply

    Normal distribution is a distribution of values which are symmetric about the mean.
    It shows that data near the mean are more frequent in occurrence than data far from the mean.
    Example: Annual appraisal at organizations are example of normal distribution where
    people are rated for their performance and the ratings are generally normally distributed.

  2. Ognish
    3
    Reply

    Normal/Gaussian Distribution is a bell-shaped graph which encompasses two basic terms- mean and standard deviation. It is a symmetrical arrangement of a data set in which most values cluster in the mean and the rest taper off symmetrically towards either extreme.

    Example:

    Height of the population is the example of normal distribution. Most of the people in a specific population are of average height. The number of people taller and shorter than the average height of people is almost equal, and a very small number of people are either extremely tall or extremely short.

  3. Priyabrata017
    1
    Reply

    The normal distribution is a probability function that describes how the values of a variable are distributed. It is a bell shaped curve which is symmetric about the mean. The data near the mean has requency higher than the ones that are far away. It also tells the quality of data present in the population.
    If the normal distribution curve is skewed towards right, then some positive data is present which can be the outlier. Here median is greater than mean.
    If the normal distribution curve is skewed towards left, then some negative data is present which can be the outlier. Here mean is greater than median.
    Example is the average IQ score of a particular class.

Leave an answer

Browse
Browse