The following data consists of WAT (word aptitude test) scor…

The following data consists of WAT (word aptitude test) scores for a group of 25 young women students enrolled at a local college.   146.4 148.8 150.2 151.1 152.5 147.4 149.2 150.3 151.3 152.9 147.8 149.5 150.5 151.6 153.4 148.3 148.6 149.7 149.9 150.8 150.9 151.8 152.2 153.9 154.8                               Put the data in your calculator to answer the following questions. What is the IQR for this data?

Euparkeria is a rare disease. The symptoms are not clear at…

Euparkeria is a rare disease. The symptoms are not clear at first, but grow worse as time progresses. There is a test which detects Euparkeria early, and allows treatment to start before the symptoms become serious. Note that the symbol ‘Pos’ indicates a positive result on the test. The symbol E indicates that the patient has Euparkeria. The symbol indicates that the patient does not have Euparkeria. Note: Ec is “E complement”               Pr (Pos| E) = .920                      Pr (E) = .0456               Pr (Pos| Ec) = .028                  Note: Pr (E) + Pr (Ec) =1               What is Pr (Pos Ո E)? 

A group of students has been trained to increase their score…

A group of students has been trained to increase their score on the math segment of the S.A.T.  For the general population, S.A.T.-Math scores are distributed N (505,105). It is reasonable to assume that the shape of the distribution is unchanged by training effects, but is shifted, hopefully to the right. It follows that we assume that σ=105. For a random sample, of size n = 100 the sample mean  S.A.T.-math score is 529.   Compute a 99% confidence interval for µ, the mean score of the population of trained students.

A group of students has been trained to increase their score…

A group of students has been trained to increase their score on the math segment of the S.A.T.  For the general population, S.A.T.-Math scores are distributed N (505,105). It is reasonable to assume that the shape of the distribution is unchanged by training effects, but is shifted, hopefully to the right. It follows that we assume that σ=105. For a random sample, of size n = 100 the sample mean S.A.T.-math score is 529.   Find n in order to estimate µ with a margin of error M=5, and with 99% confidence (σ =105). Remember to round up to the next highest whole number.