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Sladkaya [172]
3 years ago
9

Use the probability distribution for the random variable x to answer the question. x 0 1 2 3 4 p(x) 0.12 0.2 0.2 0.36 0.12 Calcu

late the population mean, variance, and standard deviation. (Round your standard deviation to three decimal places.)
Mathematics
1 answer:
V125BC [204]3 years ago
3 0

Answer:

\mu =2.16 --- Mean

\sigma^2 = 1.4944 -- Variance

\sigma = 1.222 --- Standard deviation

Step-by-step explanation:

Given

\begin{array}{cccccc}x & {0} & {1} & {2} & {3} & {4} \ \\ P(x) & {0.12} & {0.2} & {0.2} & {0.36} & {0.12} \ \end{array}

<u>Solving (a): The population mean</u>

This is calculated as:

\mu = \sum x * P(x)

So, we have:

\mu =0*0.12 + 1 * 0.2 + 2 * 0.2 + 3 * 0.36 + 4 * 0.12

\mu =2.16

<u>Solving (b): The population variance</u>

First, calculate:

E(x^2) using:

E(x^2) = \sum x^2 * P(x)

So, we have:

E(x^2)  = 0^2*0.12 + 1^2 * 0.2 + 2^2 * 0.2 + 3^2 * 0.36 + 4^2 * 0.12

E(x^2)  =6.160

So, the population variance is:

\sigma^2 = E(x^2) - \mu^2

\sigma^2 = 6.16 - 2.160^2

\sigma^2 = 6.160 - 4.6656

\sigma^2 = 1.4944

Solving (c): The population standard deviation

This is calculated as:

\sigma = \sqrt{\sigma^2}

\sigma = \sqrt{1.4944}

\sigma = 1.222

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