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:

stew reads at the fastest rate of 265 words per minute.

step-by-step explanation:

it's a given that felicia reads at 260 word per minute and on connie's graph we can see that she reads 200 words per minute. since stew's table tells us that he read 795 in 3 minutes, we can divide 795 by 3 to find out how many words he reads per minute.

795/3 = 265

stew reads 265 words per minute - he reads at the fastest rate since felecia reads at 260 words per minute and connie reads at 200 words per minute.

stew (265) > felecia (260) > connie (200)

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