Fifty-three percent of employees make judgements about their co-workers based on the cleanliness of their desk. You randomly select 8 employees and ask them if they judge co-workers based on this criterion. The random variable is the number of employees who judge their co-workers by cleanliness. Which outcomes of this binomial distribution would be considered unusual?

Respuesta :

Answer:

The unusual [tex] X [/tex] values ​​for this model are: [tex]X = 0, 1, 2, 7, 8[/tex]

Step-by-step explanation:

A binomial random variable [tex] X [/tex] represents the number of successes obtained in a repetition of [tex] n [/tex] Bernoulli-type trials with probability of success [tex] p [/tex]. In this particular case, [tex] n = 8 [/tex], and [tex] p = 0.53 [/tex], therefore, the model is [tex] {8 \choose x} (0.53) ^ {x} (0.47)^{(8-x)} [/tex]. So, you have:

[tex]P (X = 0) = {8 \choose 0} (0.53) ^ {0} (0.47) ^ {8} = 0.0024[/tex]

[tex] P (X = 1) = {8 \choose 1} (0.53) ^ {1} (0.47) ^ {7} = 0.0215[/tex]

[tex] P (X = 2) = {8 \choose 2} (0.53)^2 (0.47)^6 = 0.0848[/tex]

[tex] P (X = 3) = {8 \choose 3} (0.53) ^ {3} (0.47)^5 = 0.1912[/tex]

[tex] P (X = 4) = {8 \choose 4} (0.53) ^ {4} (0.47)^4} = 0.2695[/tex]

[tex] P (X = 5) = {8 \choose 5} (0.53) ^ {5} (0.47)^3 = 0.2431[/tex]

[tex] P (X = 6) = {8 \choose 6} (0.53) ^ {6} (0.47)^2 = 0.1371[/tex]

[tex] P (X = 7) = {8 \choose 7} (0.53) ^ {7} (0.47)^ {1} = 0.0442[/tex]

[tex] P (X = 8) = {8 \choose 8} (0.53)^{8} (0.47)^{0} = 0.0062[/tex]

The unusual [tex] X [/tex] values ​​for this model are: [tex]X = 0, 1, 7, 8[/tex]

Answer:

No employees or 8 employees judging co-workers based on the cleanliness of their desk would be considered unusual outcomes.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

The expected value of the binomial distribution is:

[tex]E(X) = np[/tex]

The standard deviation of the binomial distribution is:

[tex]\sqrt{V(X)} = \sqrt{np(1-p)}[/tex]

Outcomes are unusual when they are more than 2.5 standard deviations of the mean.

In this problem, we have that:

[tex]n = 8, p = 0.53[/tex]

So

[tex]E(X) = np = 8*0.53 = 4.24[/tex]

[tex]\sqrt{V(X)} = \sqrt{np(1-p)} = 1.41[/tex]

[tex]4.24 - 2.5*1.41 = 0.71[/tex]

[tex]4.24 + 2.5*1.41 = 7.77[/tex]

No employees or 8 employees judging co-workers based on the cleanliness of their desk would be considered unusual outcomes.

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