From past results, a professor knows that the test score of a student taking her final examination is a random variable with mean 65 and a variance known to be 15. What is the probability that a student will score between 50 and 80? (7-8.1.2)

(A) Somewhere between 0.75 and 0.85
(B) Exactly 0.6826
(C) Exactly 0.9333
(D) Somewhere between 0.55 and 0.75

Respuesta :

Answer:

option B

Step-by-step explanation:

Given,

mean result (μ) = 65

standard deviation (σ)= 15

probability that student will score between 50 and 80

= [tex]P(50< x <80 )= P[\dfrac{50-65}{15} < \dfrac{x-\mu}{\sigma} / \sigma < \dfrac{80-65}{15}][/tex]

= [tex]P(50< x <80 )= P[\dfrac{-15}{15} < z / \sigma < \dfrac{15}{15}][/tex]

= [tex]P(50< x <80 )= P[-1< z / \sigma <1][/tex]

 = P(Z < 1) - P(Z < -1)

Using z table,  

= 0.8413 - 0.1587

= 0.6826

the correct answer is option B

Q&A Education