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The time a cashier spends processing individual customer's order are independent random variables with mean 2.5 minute and standard deviation of 2. What is the approximate probability that it will take more than 4 hours to process the orders of 100 people?
A real estate agent in the coastal area of Georgia wants to compare the variation in the selling price of homes on the oceanfront with those one to three blocks from the ocean sample of 21 oceanfront homes sold within the last year revealed the st..
Use a 95% confidence interval for multiple comparisons. Show your calculation by hand between Monday and Tuesday. Match your answer with Minitab output. Attach Minitab output.
Determine the probability that of a Type I error using decision rule if population mean is in fact 800 kilowatts per day?
Can we conclude that car size is dependent on marital status? YES or NO (circle one)
Any person who is familiar with these trees understand the height of a California redwood tree which is related to another characteristics of the tree.
Assume that a study of 500 randomly selected school bus routes showed that 480 arrived on time. Is it "significant" for a school bus to arrive late?
Critically discuss the difference between the standard deviation of the sampling distribution of the mean and the standard deviation of the sampling distribution of the median when we calculate the probability?
In a one-way ANOVA analysis of 3 treatments, with the total number of 9 observations, with an equal number of observations in each treatment, mean-square-error (MSE) was found to be 24.905.
Form the cumulative percentage distribution and plan a cumulative percentage polygon.
Ten students were sampled at random from a student population. Each was asked how many courses he or she was planning on studying in the upcoming year. The following is a list of the reported data values: 1, 2, 2, 3, 4, 5, 5, 5, 5, 6 What is the vari..
We can compare two sample means to determine if the samples were obtained from normal populations with the same mean using the "t" distribution.
Among 620 adults selected randomly from among the residents of one town, 18.9% said that they favor stronger gun-control laws.
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