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Question: A researcher is interested in whether allowing employees to wear casual clothing will increase the likelihood that employees come to work on time. She observes that the probability of an employee coming to work on time on "casual days" is p = .92, whereas the probability of an employee coming to work on time on any other day is p = .84. If the business has 200 employees,
(a) how many employees should we expect to come to work on time on casual days, and
(b) how many should we expect to come to work on time on any other day?
The breaking strengths of cables produced by a certain manufacturer have a standard deviation of 82 pounds. A random sample of 150 newly manufactured cables has a mean breaking strength of 1950 pounds.
For 95% confidence that the sample mean will not differ from the actual population mean by more than 0.1 ounces, what sample size is required?
a. Draw the Payoff Table and the Opportunity Loss tables. b. Find the optimal action according to Maximax, Maximin, and Maximum Likelihood. c. Write the expressions for EMV.
Given below are heart volume measurements taken on male athletes. Do heart volumes differ for male athletes who participate in different sports?
Prepare an x-bar chart and R-chart that reflect a 99.7% confidence level in order to answer questions 15 through 20:
What is the standard deviation of the probability distribution (round to three decimal places)?
Describe a business-related situation in which you would expect there to be a strong relationship (correlation) between an independent and dependent variable.
james teaches a class of 300 students and only 6 have done their homework assignment which is due today. he calls on a
question the odds against lounging larry winning the horse race are 38. determine the probability that lounging larry
Compare population means or proportions to determine the relationship between variables.
Take a confidence interval for the difference in the average of renting between the first andthird hotel.
for a normal distribution find the percentage of data that are a within 1.32 standard deviations of the mean. b between
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