Suppose the salaries of university professors are approximately normally distributed with a mean of $65,000 and a standard deviation of $7,000. If a random sample of size 25 is taken and the mean is calculated, what is the probability that the mean value will be between $62,500 and $64,000

0.2009

Step-by-step explanation:

Mean(μ) = 65000

Standard deviation (σ) = 7000

n = 25

Let X be the random variable which is a measure of salaries of university professors

Z = (μ - x) /σ/√n

Pr(62500 ≤ x ≤ 64000) = ???

Pr((65000 - 62500)/7000/√25 ≤ z ≤ (65000 - 64000) / 7000/√25)

= Pr(2500 / 7000/5 ≤ z ≤ 1000 / 7000/5)

= Pr(2500 / 1400 ≤ z ≤ 1000/1400)

= Pr(1.79 ≤ z ≤ 0.714)

= Pr(0 ≤ z ≤ 1.79) - Pr(0 ≤ z ≤ 0.714)

From the normal distribution table we have

0.4633 - 0.2624

= 0.2009

the answer is c.

step-by-step explanation:

answer: (c) m∠qpo + (2x + 16)° = 180°

step-by-step explanation:

the opposite angles of a quadrilateral are supplementary.

so, ∠o + ∠q = 180°   and   ∠p + ∠r = 180°

since ∠r = 2x + 16°, we can use substitution as follows:

∠p + ∠r = 180°

∠p + (2x + 16)° = 180°