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A statistics student wants to predict the annual salaries of employees at one large company. He wants to know if he can use the number of years that someone has worked at the company to predict his or her annual salary.
What is the explanatory variable in this scenario?
A) The statistics student
B) Number of years that someone has worked at the company
C) Employees of the company
D) Annual salary
A silver dollar is flipped twice, calculate the probability of each of the following occurring
1.suppose x is a continuous random variable taking values between 0 and 1 and having a probability distribution
Among 500 freshmen pursuing a business degree at a university, 347 are enrolled in an economics course, 204 are enrolled in a mathematics course, and 160 are enrolled in both an economics and a mathematics course.
A sample of 35 workers was randomly selected from a workforce of 110 to estimate the average amount spent weekly at a canteen by each worker.the sample meam was $13 and the sample standard deviation was $3.25.
find the joint probability density of the two random variables x and y whose joint distrubution function is given by fx
Write an example of a confidence statement, with supporting sketches, that illustrates each of the following situations: (i) large confidence interval but large degree of confidence and (ii) small confidence interval but small degree of confidence..
At the 5% significance level, can the researcher reject the hypothesis that the mean reading scores of all children in the three school systems is the same ? Formulate and test the appropriate hypotheses. Use the critical value approach.
What is the approximate permutation test P-value and What is the permutation test P-value for testing the equality of the means versus the hypothesis that the mean change for the treatment group is larger than the mean treatment for the control gro..
the u.s. bureau of labor statistics reports that of persons who usually work full time the average number of hours
What is the 90% confidence interval estimate of the difference between the two population means? How do the results compare in all the three approaches to hypothesis testing?
Assuming that interest is a constant 5% and that reimbursement is made at the end of the year of failure, what is the cost of this guarantee to the manufacturer, as a percentage of the purchase price?
You take a random sample and perform a hypothesis test, getting a p-value of 0.2578. What is the appropriate conclusion? Conclude at the 5% level of significance.
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