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Pleeaaaase hellllpppp asap

Pleeaaaase hellllpppp asap-example-1
User Rich L
by
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2 Answers

0 votes

Answer:

B. 30.47

Explanation:

The mean discrete random variable tells us the weighted average of the possible values given of a random variable. It shows the expected average outcome of observations. It's like getting the weighted mean. The expected value of X can be computed using the formula:


\mu_(x)=x_1p_1+x_2p_2+x_3p_3...+x_kp_k\\\\=\Sigma x_ip_i

Using the data given in your problem, just pair up the x and P(x) accordingly and get the sum.


\mu_(x)=x_1p_1+x_2p_2+x_3p_3+x_4p_4+x_5p_5+x_6p_6\\\\\mu_(x)=(23* 0.16) + (25* 0.09) + (26* 0.18) + (31* 0.12) + (34* 0.24) + (38* 0.21)\\\\\mu_(x) = 30.47

User TiShow
by
6.4k points
2 votes

Answer:

Option B

Explanation:

the mean is the sum of each value of P(x) multiply for x

Mean= 23x0.16 + 25x0.09 + (26x0.18) + (31x0.12)+ (34x0.24) + (38x0.21)

Mean= 30.47

User Evanescent
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5.3k points