Finding the Mean, Variance, and Standard Deviation In

Chapter 4, Problem 29E

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QUESTION:

(a) Find the mean, variance, and standard deviation of the probability distribution, and (b) interpret the results.

The number of dogs per household in a small town

\(\begin{array}{|l|c|c|c|c|c|c|} \hline \text { Dogs } & 0 & 1 & 2 & 3 & 4 & 5 \\ \hline \text { Probability } & 0.686 & 0.195 & 0.077 & 0.022 & 0.013 & 0.007 \\ \hline \end{array}\)

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QUESTION:

(a) Find the mean, variance, and standard deviation of the probability distribution, and (b) interpret the results.

The number of dogs per household in a small town

\(\begin{array}{|l|c|c|c|c|c|c|} \hline \text { Dogs } & 0 & 1 & 2 & 3 & 4 & 5 \\ \hline \text { Probability } & 0.686 & 0.195 & 0.077 & 0.022 & 0.013 & 0.007 \\ \hline \end{array}\)

ANSWER:

Step 1 of 3

 The given number of dogs per household in a small town is

     

Dogs

0

1

2

3

4

5

Probability

0.686

0.195

0.077

0.022

0.013

0.007

 

 a). Here we have to find the mean, variance and standard deviation.

     The mean is given by

\(\begin{aligned} \mu & =\sum x p(x) \\ & =0 \times 0.686+1 \times 0.195+2 \times 0.077+3 \times 0.022+4 \times 0.013+5 \times 0.007 \\ & =0+0.195+0.154+0.066+0.052+0.035 \\ & =0.502 \end{aligned}\)

Hence, mean \(\mu=0.502\).

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