Assume that the average score of the Final exam of a particular class is μ = 82.0 and standard deviation σ = 15. The probability (proportion) of a student selected at random to have a score more than 90 on the exam is approximately:

A) 0.296
B) 0.704
C) 0.180
D) 0.819
E) None of the above

1 answer

To find the probability that a randomly selected student scores more than 90 on the exam, we can use the properties of the normal distribution.

Given:

  • Mean (μ) = 82.0
  • Standard deviation (σ) = 15.0
  • Score (X) = 90

We can standardize the score to find the corresponding z-score using the formula:

z=Xμσ

Substituting the values:

z=908215=8150.5333

Next, we will look up the z-score of approximately 0.53 in the standard normal distribution table, or we can use a calculator. The z-table tells us the probability that a value is less than a certain z-score.

For z=0.53, the cumulative probability (P(Z < 0.53)) is approximately 0.7027.

To find the probability of a score greater than 90, we calculate:

P(X>90)=1P(Z<0.53)=10.70270.2973

Rounding this result, we find:

P(X>90)0.296

Therefore, the correct answer is:

A) 0.296