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Briefly describe: a statistical relation, time series, cross section, least squares, See, r, R-squared, t-value, multicollinearity and serial correlation.
Use the relative frequency approach to construct a probability distribution for the number of tests taken.
The International Coffee Association has reported the mean daily coffee consumption for U.S. residents as 1.65 cups. Assume that a sample of 38 people from a North Carolina city consumed a mean of 1.84 cups of coffee per day
An economics professor randomly selected 100 millionaires in the United States. The average age of these millionaires was 54.8 years with a standard deviation of 7.9 years.
A company producing a standard line and a deluxe line of dishwasher has the following time requirements (in minutes) in departments where either model can be processed
Determining the strength of a correlation is very important to determine how well one variable can predict another. To determine the strength of a correlation, we have to calculate the correlation coefficient, r.
A professor asked her sophomore students, "How many drinks do you typically have per session? (A drink is defined as one 12oz beer, one 4oz glass of wine, or one 1oz shot of liquor.)"
Establish a 99% confidence interval for the difference in the proportion of suburban and urban housewives who own IPod.
At a .10 level of significance, use Stat Tools (or Excel) to test the sponsors' hypothesis. State the null and the alternative hypotheses and the decision rule. Finally, discuss your findings.
A CBS News/New York Times poll found that 329 out of 763 adults said they would travel to outer space in their lifetime, given the chance. Estimate the true proportion of adults who would like to travel to outer space with 92% confidence.
What is the probability that a roulette ball will come to rest on an even number other than 0 and 00?
It is estimated that 3% of the athletes competing in a large tournament are users of an illegal drug to enhance performance. The test for this drug is 90% accurate.
A marketing firm recently studied the number of times men and women who live alone that buy takeout dinners in a month. Two independent samples were taken one with 50 men and 55 women.
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