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To test whether the population mean is less than a specified value
The MacBurger restaurant chain claims that the waiting time of customers for service is normally distributed, with a mean of 3 minutes and a standard deviation of 1 minute. The quality-assurance department found in a sample of 50 customers at the Warren Road MacBurger that the mean waiting time was 2.75 minutes. At the .05 significance level, can we conclude that the mean waiting time is less than 3 minutes?
Suppose that sales of lemonade and sales of brownies are independent, determine standard deviation in his revenue.
Such things as historical documents, newspaper reports, TV and radio broadcasts, when used in research, represents
Perform a hypothesis test by using.04 level of significance to find out if there is a difference between the population means.
Binomial Distribution: Control Charts this problem will be referred to in the study of control charts. In the binomial probability distribution, let the number of trials be n = 3, and let the probability of success be p = 0.0228.
The best estimator or appreciative of the population proportion is 0.45. How large must the sample be?
Then estimate demand again with a weighted moving average in which sales in the most recent year are given a weight of 2 and sales in the other two years are each given a weight of 1.
In the Distance problems, the kids are given a Rate (speed) that a vehicle is going, as well as a Time that the vehicle travels, and asked to calculate the Distance travelled. In the Rate problems they are asked to compute Rate from the other two ..
Last week Sarah had exams in Math and in Spanish. On the Math exam, the mean was u, = 30 with a = 5, and Sarah had a score of X - 45. On the Spanish exam, the mean was u, = 60 with 0 = 6 and Sarah had a score of X = 65. For which class must Sarah ..
Determining probability values using the Binomial distribution.Use the Binomial distribution to determine the probability that four or more of the contracts are in breach of the tendering guidelines.
Some of the factors affect statistical power for a one sample t test. How does statistical power change (increase or decrease) for each of the following changes?
A major study examined the relationship between cause of death (heart attack, cancer, stroke, accident, etc.) and age. A good way to graphically represent the relationship is with
Re item 4, assume the critical value for this test is 4.92, and you obtain a computed statistical value of 7.45. Is there evidence to refuse null hypothesis? Describe why or why not?
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