Alex wants to buy packs of gaming cards until she gets a certain card she wants, but she only has enough money to buy at most two packs. Suppose that each pack has a 20\%20%20, percent chance of containing the card she wants, and each pack costs \$10$10dollar sign, 10. The table below displays the probability distribution of XXX, the amount of money Alex spends on these cards. X=\text{money spent}X=money spentX, equals, start text, m, o, n, e, y, space, s, p, e, n, t, end text \$10$10dollar sign, 10 \$20$20dollar sign, 20 P(X)P(X)P, left parenthesis, X, right parenthesis 20\%20%20, percent 80\%80%80, percent Given that \mu_X=\$18μ X ​ =$18mu, start subscript, X, end subscript, equals, dollar sign, 18, calculate \sigma_Xσ X ​ sigma, start subscript, X, end subscript. Round your answer to two decimal places.

Respuesta :

Answer:

4 dollars

Step-by-step explanation:

The standard deviation of the pack of gaming cards is 4

The entry on the table is given as:

x      | $10   | $20

P(x)  | 20% | 80%

Also, we have:

[tex]\mu_x = 18[/tex]

The standard deviation of a dataset is calculated using:

[tex]\sigma_x = \sqrt{E(x^2) - \mu_x^2}[/tex]

Where:

[tex]E(x^2) = \sum x^2 \times P(x)[/tex]

This gives

[tex]E(x^2) = 10^2 \times 20\% + 20^2 \times 80\%[/tex]

[tex]E(x^2) = 340[/tex]

[tex]\sigma_x = \sqrt{E(x^2) - \mu_x^2}[/tex] becomes

[tex]\sigma_x = \sqrt{340 - 18^2}[/tex]

[tex]\sigma_x = \sqrt{340 - 324}[/tex]

[tex]\sigma_x = \sqrt{16}[/tex]

Take positive square root

[tex]\sigma_x = 4[/tex]

Hence, the standard deviation of the dataset is 4

Read more about standard deviations at:

https://brainly.com/question/475676