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A regional manager visits local fast-food franchises and evaluates the speed of the service. If the manager receives her meal within 45 seconds, the server is given a free movie-admission coupon. If it takes more than 45 seconds, the server receives nothing. Throughout the company's franchises, the probability is 0.60 that a meal will be served within 45 seconds. The manager plans to evaluate the speed of service at five local franchises of the restaurant. For the five servers, determine the probability that:
a. none will receive a movie coupon
b. two of the five will receive a coupon
c. three of the five will receive a coupon
d. all five will receive a coupon
Calculate, test, and interpret the relationship between two variables using the correlation coefficient.
Define the Linear programming problem (LPP)
Consider a sample with data values of 10,20,12,17, and 16.... Compute the mean and median and explain how you get to the answer....
Find the probability of a type I error α if the true proportion is p=0.6.
Using the Binomial Distribution, find the probability that if Air Northeast books 22 people on a flight, not enough seats will be available for all booked passengers.
Thirty homes responded, and the sample mean water use per day was 77 gallons with a standard deviation of 9.0 gallons per day.
You are the designer for your company's web site. You have data to indicate that the mean download time for the homepage is 5.8 seconds and that the standard deviation of download time is 2.1 seconds.
Utilize a test of the difference among proportions when answering these questions. Illustrate the research hypothesis.
Years to Complete a Graduate Program: The average number of years a person takes to complete a graduate degree program is 3. The standard deviation is 4 months. Assume the variable is normally distributed. If an individual enrolls in the program, ..
Use the mean, median, and mode to make a statement about the difference in performance for city and highway driving.
Use the following data to write the normal equations of the linear regression between Y and X, and find the least squares regression.
Extra college-level training, and rest of the sailors arn't accounted for. How does your sample compare to what you expected to determine? Define null hypothesis.
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