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Last year, at Northern Manufacturing Company, 200 people had colds during the year. One hundred fifty five people who did no excercising had colds, and the remainder of the people with colds were involved in a weekly exercise program. Half of the 1000 emloyees were involved in some type of exercise. What is the probability that an employee will have a cold next year?
In order to estimate the difference between the average hourly wages of employees of two branches of a department store, the following data have been gathered.
You are assigned to be part of a team of three analysts of a global management consulting company where of the entire work force of analysts. 55% have had no experience in telecommunications
Preliminary results indicate that once a golfer has checked in, there is only at 20% chance that he or she will be a no-show. This chance of being a no-show can be modeled using the binomial distribution.
In a binomial distribution n = 8 and π = 0.2. Determine the probabilities of the following events.
Compute average daily rainfall in the week and for weekends. Get the average of weekdays' rainfalls and average of weekend's rainfalls.
Overall, the amount of work-hours involved in the festival preperation is normally distributed around 100 hours withn a standard deviation of 12 hours.
Scenario: Dole Pineapple, Inc., is concerned that the 16-ounce can of sliced pineapple is being overfilled. Assume the standard deviation of the process is .03 ounces.
A sample of 9 customers is selected. What is the probability that exactly 2 customers in the sample will default on their payments?
What can you say about the effect of sample size on confidence intervals?
The owner of Britten's Egg Farm wants to estimate the mean number of eggs laid per chicken. A sample of 20 chickens shows they laid an average of 20 eggs per month with a standard deviation of 2 eggs per month.
In a recent study of 86 working adults, the mean number of hours per week spent talking on the phone was 21.6. The sd= 5.7 hours.
The following table shows the hardness (in Brinell hardness numbers) and the tensile strength (in thousands of pounds per square inch) of ten specimens of a certain alloy.
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