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One sensible recommendation is to "calibrate" your eye by looking at several Q-Q plots for data simulated from the correct distribution (here standard normal). Qqnorm(rnorm(n)) abline(0, 1) where n is the number of cases in the data. Repeat until you get an idea how much variation you should expect. But isn"t there a hypothesis test we should apply?
What is the probability that the total number of customers who enter the supermarket in one day is greater than 11700?
The manager of a car wash receives pricing schedule (shown below) from the vendor who supplies soap- and a promise of a 25% shorter lead time for deliveries.
The random variable x is the number of houses sold by a realtor in a single month at the Sendsom's Real Estate office. Its probability distribution is as follows.
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.
Consider a problem where we two products: Product A (cloth bags) and product B (leather bags). Each unit of Product A that is sold produces $30 in profit and each unit of Product B that is sold produces $50 in profit.
In the past HR uses an average of 25 vacation days per worker in order to make available man-hour and payroll predictions. Is there evidence to show that the number of vacation days decreased over the past year? Use alpha = .05
In how many ways can at least one of the 3 selected vials have a hairline crack if the order of selection does not matter?
In your opinion, which one/s of these factors (independent variables) will have a negative correlation with bone density and which one/s will have a positive correlation?
Compose a 350 to 700-word summary report of your findings to the researcher and owner of the restaurant in which you Identify evidence, if any, of the researcher's claim. Perform a one- or two-tail test on the data provided,
The mean weight was 2.9 pounds with standard deviation of .6 pounds find a 90% confidence interval for the population mean of the fall lobster.
If light bulbs have lives that are normally distributed with a mean of 2500 hours and a standard deviation of 500 hours, what percentage of light bulbs have a life less than 2500 hours?
A sample of 15 workers revealed the following number of minutes traveled. Develop a 98 percent confidence interval for the population mean. Interpret the result. Please explain how you calculate.
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