Asample of 9 production managers with over 15 years of experience has an average salary of $71,000 and a sample standard deviation of $18,000. assuming that s = 18,000 is a reasonable estimate for f$sigma f$ what sample size would be needed to ensure that we could estimate the true mean salary of all production managers with more than 15 years experience within $4200 if we wish to be 95% confident? place your answer, as a whole number, in the blank. do not use a dollar sign, a comma, or any other stray mark. for examples, 34 would be a legitimate entry.

The sample size to meet the 95% confidence and a maximum error of 4200 in the salary estimate, is 71

Step-by-step explanation:

You want to estimate the average salary of production managers with more than 15 years of experience, for this you will use a 95% confidence interval with a maximum estimation error of 4200.

The expression for the calculation of the sample size is given by:

my answer got deleted but it's a

step-by-step explanation:

hello from mrbilldoesmath!

answer:

25x^2 + 90x + 84

discussion:

mn(x) = m(n(x)) = m( 5x + 9) =

(5x + 9)^2 + 3 =>

25x^2 + 90x + 9^2 + 3 =

25x^2 + 90x + 84                 (as 9^2 = 9*9 = 81)

which is the second choice

regards,  

mrb

p.s.   i'll be on vacation from friday, dec 22 to jan 2, 2019. have a great new year!