Question:

The mean and variance of a random variable $X$ having a binomial distribution are $4$ and $2$ respectively, find the value of $ P(X=1) $ .

Updated On: Jun 23, 2024
  • $ 1/4 $
  • $ 1/16 $
  • $ 1/8 $
  • $ 1/32 $
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The Correct Option is D

Solution and Explanation

Given, mean, $ np=4 $ ?.(i) Variance, $ npq=2 $ ?.(ii) $ \frac{npq}{np}=\frac{2}{4} $
$ \Rightarrow $ $ q=\frac{1}{2} $
$ \therefore $ $ p=\frac{1}{2} $ From Eq (i), we get $ n=\frac{4}{1/2}=8 $ Now, $ P(X=1){{=}^{n}}{{C}_{1}}{{p}^{1}}{{q}^{n-1}} $
${{\left( \frac{1}{2} \right)}^{1}}{{\left( \frac{1}{2} \right)}^{7}}=\frac{8!}{1!7!}\times \frac{1}{{{2}^{8}}}=\frac{8}{{{2}^{8}}}=\frac{1}{32} $
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Concepts Used:

Mean Deviation

A statistical measure that is used to calculate the average deviation from the mean value of the given data set is called the mean deviation.

The Formula for Mean Deviation:

The mean deviation for the given data set is calculated as:

Mean Deviation = [Σ |X – µ|]/N

Where, 

  • Σ represents the addition of values
  • X represents each value in the data set
  • µ represents the mean of the data set
  • N represents the number of data values

Grouping of data is very much possible in two ways:

  1. Discrete Frequency Distribution
  2. Continuous Frequency Distribution