According to Advertising Age, the average base salary for women working as copywriters is $66,000. Assume that the salaries are normally distributed and that the standard deviation is $7,500. a. What is the probability of a woman receiving a salary between $60,000 and $75,000? b. What is the probability of a woman receiving a salary of less than $60,000? c. What is the probability of a woman receiving salary of more than 80,000? d. What is the probability of a woman receiving a salary between $75,000 and $80,000? e. How much (or more) would a woman have to make to have the salary in the top (upper) 3%?

your answer is a

step-by-step explanation:

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42%

step-by-step explanation:

we know,

total people = 60

total males = 25

percentage of males

= 25/60 × 100

= 25/6 × 10

= 25/3 × 5

= 125 / 3

= 41.

rounding of = 42%

happy to

pls mark as brainliest

55.44 inches

step-by-step explanation:

part a. assuming a perfectly linear relationship, we can find the slope from the first two data points.

slope = m = (change in rainfall)/(change in years)

= (61.80 -62.33)/(2005 -2004) = -0.53/1 = -0.53

then the point-slope form of the equation of the line can be written as

y = m(x -h) +k . . . . . m = -0.53, (h, k) = (0, 62.33)

y = -0.53x +62.33 . . . x = years after 2004

part b. in 2017, x = 2017 -2004 = 13. then the predicted rainfall is

y = -0.53·13 +62.33 = 55.44 . . inches

the predicted rainfall in 2017 is 55.44 in.

the answer should be:

a. 3, 4, and 6

b. 18, 24, and 36

c. 4.8, 6.4, and 9.6

hope i

-lavira : )