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Some college graduates employed full-time work more than hours per week, and some work fewer than 40 hours per week. We suspect that the mean number of hours worked per week by college graduates, , is different from 40 hours and wish to do a statistical test. We select a random sample of college graduates employed full-time and find that the mean of the sample is 36 hours and that the standard deviation is 5 hours.
Run a Monte Carlo simulation 1000 trials for the following distribution. Determine the mean and standard deviation of the simulated distribution.
What are the assumptions necessary to use the z-series test? What are the assumptions necessary of use the t-series test?
Find the probability that the number who say oatmeal is their favorite cookie is (a) exactly four, (b) at least four, and (c) less than four.
A sample of 70 orders revealed that 57 were delivered in promised time. At .02 significance level, can we conclude that less than 87 percent of orders are delivered in less than 10 minutes?
Calculate the standard deviation of BMI. Calculate the median BMI. The following are body mass index (BMI) scores measured in 12 patients who are free of diabetes.
A market survey was conducted to estimate the proportion of homemakers who would recognize the brand name of a cleanser based on the shape and color of the container. Of the 1,4000 homemakers sampled, 420 were able to identify the brand by name.
What is the minimal number of days a person must watch to be at least 96.8% sure of seeing one or more hawks migrating?
Is there a statistically significant difference between the bowling averages of male nurses and those of businessmen, if last year's league play produced the following data
Construct a 90% confidence interval for the true mean weight. What sample size would be necessary to estimate the true weight with an error of plus or minus .03 grams with a 90% confidence?
Compute the probability that debt for a randomly selected borrower with good credit is more than $18,000?
Determine the probability that the sample mean is 20 or higher? What is the probability that the sample mean falls within 2 points of the population mean?
The populations must all be normally distributed, what is meant by normally distributed?
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