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Tropical islands have many rainstorms during the afternoon heat. One particular tropical island has a rainstorm on any given afternoon. Abraham is planning a week-long stay on this tropical island. Let [tex]$X$[/tex] represent the number of days there is an afternoon tropical storm that week.

What are the mean and standard deviation of [tex]$X$[/tex]?

A. [tex]\mu_x = 1.47, \sigma_x = 1.16[/tex]
B. [tex]\mu_x = 3.5, \sigma_x = 1.16[/tex]
C. [tex]\mu_x = 5.53, \sigma_x = 1.08[/tex]
D. [tex]\mu_x = 7, \sigma_x = 3.5[/tex]



Answer :

GinnyAnswer
To solve this problem, we need to determine the mean and standard deviation of [tex]\( X \)[/tex], the number of days with an afternoon tropical storm during Abraham's week-long stay. This is a binomial distribution problem where each day is an independent trial with two possible outcomes: either it rains or it doesn't.

Given:
- The number of days in a week: [tex]\( n = 7 \)[/tex]
- The probability of rain on any given afternoon: [tex]\( p = 0.7 \)[/tex]

### Mean of [tex]\( X \)[/tex]
The mean of a binomial distribution is given by the formula:
[tex]\[ \mu_X = n \cdot p \][/tex]

Substituting in the given values:
[tex]\[ \mu_X = 7 \cdot 0.7 = 4.9 \][/tex]

### Standard Deviation of [tex]\( X \)[/tex]
The standard deviation of a binomial distribution is given by the formula:
[tex]\[ \sigma_X = \sqrt{n \cdot p \cdot (1 - p)} \][/tex]

Substituting in the given values:
[tex]\[ \sigma_X = \sqrt{7 \cdot 0.7 \cdot (1 - 0.7)} \][/tex]
[tex]\[ \sigma_X = \sqrt{7 \cdot 0.7 \cdot 0.3} \][/tex]
[tex]\[ \sigma_X \approx 1.21 \][/tex]

Based on this detailed analysis, the correct mean and standard deviation of [tex]\( X \)[/tex] are:
[tex]\[ \mu_X = 4.9 \][/tex]
[tex]\[ \sigma_X \approx 1.21 \][/tex]

These values match the first option provided, but the exact numerical option is not listed in the choices. The result of the calculation should be approximately:
[tex]\[ \mu_X \approx 4.9 \][/tex]
[tex]\[ \sigma_X \approx 1.21 \][/tex]

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