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1. Suppose Subway has carried out the study, using the sample size determined in that exer- cise, and 27.5% of the franchisees say they are pleased with their relationship with Subway. Construct and interpret the 95% confidence interval for the population percentage.
2. A research firm wants to be 90% confident that a population percentage has been estimated to within 3 percentage points. The research manager calculates the necessary sample size with 0.5 as his estimate of the population proportion. A new business school graduate who has just joined the firm questions the research manager further, and they agree that the pop- ulation proportion is no more than 0.3. If interviews cost $10 each, how much money has the new graduate just saved the company?
The scores of students taking the Scholastic Aptitude Test (SAT) are normally distributed with a mean u = 1035 and a standard deviation o = 131.
Use the data to Compute a 90% confidence interval to estimate the population average difference. Assume that the number of passengers is normally distributed.
automobiles arrive at a vehicle equipment inspection station according to a poisson process with rate ? 10 per hour.
Suppose that the probability is 1 in 3,900,000 that a single auto trip in the U.S. would result in the death of the driver. Over a lifetime, an average U.S. driver takes 50,000 trips.
Critically discuss some examples of descriptive statistics? Why are they used in research? What is a confidence interval?
If you draw two balls without replacing the first one, what is the possibility that one ball is red and the other is white.
for a given linear regression model built between x and y the error sum of squares was found to be 300. the total sum
the average score of all golfers for a particular course has a mean of 66 and a standard deviation of 5. suppose 100
the probability distribution of the discrete random variablenbspxnbspis given by the following
if x1 and x2 are normally distributed random variables with a mean of 95 and a standard deviation of 20 and that x1 and
Describe the methods for interpretation of categories (row or column) in CA. Can categories always be directly compared based on proximity in the perceptual map?
1. What are degrees of freedom? How are the calculated? 2. What do inferential statistics allow you to infer?
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