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I want to see two methods are the significantly same or not. Each methods has 5 variables are inside. so I would like to see each 5 variables from methods A and B are significantly the same and overall the two methods are significantly same or not. Could you set up the statistically methods(experimental design) (Null hypothesis, t-test, F-test interpretation etc...)
An experimental study is designed to test the potency of a drug on 16 calves. Previous studies have shown that a 10-mg dose of the drug is lethal 7% of the time within the first 7 hours.
At 0.01 level of significance, is there evidence that mean price is higher at Whole Foods Market than at Fairyway supermarket? Interpret the meaning of p-value in (i).
Given a sample size of 9,245, a sample mean of 38, a standard deviation of 8.15, and a confidence level of 97%, calculate the lower bound of the confidence interval.
The study compared the number of Hm-2 gene mutations in each group. The data table is below.
Gestational Age (Gestage, weeks) for sample of 100 low birth weight infants, and output from fitting a simple linear regression model to data, regressing Headcirc (Y) on Gestage (X).
Satellite Office Systems has vacancies for two executives that it will fill from among four women and six men. What is the probability that exactly one woman is selected?
If 100 percent of a days production is inspected whenever the sample of 10 gives 2 or more defectives, then what is the pobability that 100 percent of a days production will be inspected?
Determine the class with the greatest number of data values.
A quality engineer in a light bulb manufacturing factory is planning a study to estimate the average life of a large shipment of light bulbs.
Appalachian Coal mining believes it can enhance labor productivity and therefore net revenue by reducing air pollution in its mines. It estimates that the marginal cost function for reducing pollution by installing additional capital equipment is.
The assembly time for a product is uniformly distributed between 6 to 10 minutes. The probability of assembling the product between 7 to 9 minutes is
Suppose that Total Revenue = 200Q and Total Cost = 80 + 50Q where Q, the quantity sold, is a random variable with expected value 20 and variance 4.
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