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Take any number, square it, and add 6, multiply by the original number. Now add 5 to that. Now divide this by the original number plus 1. Now subtract your original number and you should get 5.
Clearly identify the independent and dependent variables you would study. Determine whether a one-tail or two-tail test is most appropriate and explain why. Generate a testable null statistical hypothesis and an alternative statistical hypothesis.
The analysis needs to be re-run adding the error into the regression sum of squares.
Test the hypothesis that the proportion of all student cell phone users in the United States who own a smartphone is 35%. Use the 5% level of significance and report your results.
In considering doing a logistic regression using the Enter method, it was suggested that I may want to consider doing a sequential LSR or stepwise logistic regression instead.
What happens to the confidence interval when we go from a 95% confidence level to a 99% confidence level? Is this desirable? When would we want to use a 99% confidence interval?
Determine the point estimate in this study? Compute the standard error in this example?
a) Under what circumstances can z be greater than one? b) Under what circumstances can a probability be greater than one?
Health care reform was one of the major platforms of the Clinton campaign in 1992 and one of the top priorities of his new administration in 1993.
In estimating a 95% confidence interval estimate of the average number of days absent for the company's workers last year should you use a z or t value in the formula?
According to the study, the mean age of a self-employed individual is 46.6 years with a standard deviation of 10.8 years.
Assume the likelihood that any flight on Northwest Airlines arrives within 15 minutes of the scheduled time is .90. We select four flights from yesterday for study.
Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting sales using the last three years of data in the Excel file New Car Sales.
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