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.

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         Use a boxplot or a normal probability plot to describe the graph of the data.  

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         Compute the sample standard deviation for this data.

Which of the following is a vital component of ads that use emotional integration to market a product?

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         Compute the 5- number summary 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 intercept b, of the regression line. 

You are the county tax assessor. You have the following data concerning the size ( in square feet) and the selling price (in dollars) for twenty ( n=20) homes in an upscale neighborhood. You need to update the market prices of the unsold homes in the neighborhood.                                              (SIZE, PRICE)   (2400, 225000)            (2425, 250000)           (3200, 325000)            (2450, 225000)           (3000, 350000)            (3425, 400000)           (2750, 300000)            (2250, 250000)           (3150, 350000)            (3000, 325000)           (2275, 225000)            (2150, 200000) (2350, 250000)           (2250, 225000) (3225, 350000)            (3625, 450000) (2850, 325000)            (3200, 400000) (2900, 300000)            (2650, 300000)     Enter all of the house sizes in one list, and all of the house prices in another list. What is the correlation between SIZE and PRICE?