The following data consists of WAT (word aptitude test) scores for a group of 25 young women students enrolled at a local college.   193.0 201.4 205.6 208.0 210.2 196.4 202.8 206.2 208.4 210.6 198.8 203.6 206.8 208.8 211.0 199.4 204.6 207.4 209.2 211.4 200.6 205.0 207.8 209.6 211.8         What is the IQR for this data?

A group of twenty homes in a subdivision have sold in the past year. They were of sizes ranging from 4000 to 7000 square feet, with an average size   = 5000 square feet and a standard deviation, =  600 square feet. The average selling price was = $1000000 with a standard deviation, = $100000. The correlation between home size and selling price is r =.9000. You want to fit a linear model to this data to estimate the response variable, selling price, using house size as the explanatory variable.  Calculate the slope coefficient a, of the regression line.

In 2007 the scores on the College Aptitude Test (C. A. T.) were distributed normally with mean 500 and standard deviation 60, briefly N (500, 60) calculate the following probability PR (380 < CAT < 620)

In 2007 the scores on the College Aptitude Test (C. A. T.) were distributed normally with mean 500 and standard deviation 60, briefly N (500, 60) calculate the  Z score for a CAT score of 625.

A group of twenty homes in a subdivision have sold in the past year. They were of sizes ranging from 4000 to 7000 square feet, with an average size   = 5000 square feet and a standard deviation, =  600 square feet. The average selling price was = $1000000 with a standard deviation, = $100000. The correlation between home size and selling price is r =.9000.You want to fit a linear model to this data to estimate the response variable, selling price, using house size as the explanatory variable.  Use your model to estimate the selling price of a 6250 square foot home.

In 2007 the scores on the College Aptitude Test (C. A. T.) were distributed normally with mean 500 and standard deviation 60, briefly N (500, 60) calculate the following probability PR (440 < CAT < 560) 

A rural southern county has a revenue shortfall. A property tax initiative is placed on the ballot. A large independent simple random sample of voters yields the following information:          Let event A be the voter favors the proposed tax,          and event B be that the voter is a property owner. Then P (A|B) = .400, P (A| Bc) =.950 and P (B) = .800, Pr (Bc) = .200 Given this data and the following formula answer the following question, what is P(A)?

In 2007 the scores on the College Aptitude Test (C. A. T.) were distributed normally with mean 500 and standard deviation 60, briefly N (500, 60) calculate the 75th percentile. 

Suppose that two events A and B are not independent, but we know that Pr (A) = .80, Pr (B) = .60 and Pr (A | B) = .30, what is Pr (AՈB)?

In 2007 the scores on the College Aptitude Test (C. A. T.) were distributed normally with mean 500 and standard deviation 60, briefly N (500, 60) calculate the the Z score for a CAT score of 450.