Answer: The probability that the avg. salary of the 100 players exceeded $1 million is approximately 1.
Explanation:
Step 1: Estimate the standard error. Standard error can be calcualted by dividing the standard deviation by the square root of the sample size:

So, Standard Error is 0.08 million or $80,000.
Step 2: Next, estimate the mean is how many standard errors below the population mean $1 million.


-6.250 means that $1 million is siz standard errors away from the mean. Since, the value is too far from the bell-shaped normal distribution curve that nearly 100% of the values are greater than it.
Therefore, we can say that because 100% values are greater than it, probability that the avg. salary of the 100 players exceeded $1 million is approximately 1.
Answer:
x=6
Step-by-step explanation:
Divide both sides by 3
(a) Sample correlation ==> -0.7916
(b) Standard Deviation for Quantity ==> 801.6816
(c) Standard Deviation for Price ==> 39.1660
(d) Relation to coefficient on Price ==> <span>−16.2028</span>