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Question: A consumer research organization states that the mean caffeine content per 12-ounce bottle of a population of caffeinated soft drinks is 37.8 milligrams. You find a random sample of 48 12-ounce bottles of caffeinated soft drinks that has a mean caffeine content of 34.8 milligrams. Assume the population standard deviation is 12.5 milligrams. At α=0.05, do you support or reject the organization's claim using the p-value?
Locate value of the population mean in your sketch and make an estimate of the standard deviation
Find the z-score that represents 1000 successful contacts in 1300 phone calls.
let p be the population proportion for the following condition. find the point estimates for p and q.in a survey of
For the constant sound group: 1, 10, 1, 10, 1, 9, 7, 3. And for the no sound group: 4, 3, 6, 4, 5, 8, 4, 9. A. Assume that the standard deviations are equal and find the test statistic for the test that the between mu1 and mu2 is zero.
Carbon monoxide (CO) emissions for a certain kind of car vary mean 2.4 g/mi and standard deviation 0.7g/mi. A company has 60 of these cars in its fleet. Let y represent the mean CO level for the companies fleet. Estimate the probability that y is ..
Percentage points in either direction from what would have been obtained by interviewing all voters in the United States." Find the sample size suggested by this statement.
USA Today's annual survey of public flagship universities (Arienne Thompson and Breanne Gilpatrick, "Double-Digit Hikes Are Down," October 5, 2005).
Assuming that the temperature dependence of IS arises mostly because IS is proportional to n2 i , use the expression for ni in Eq. (3.2) to determine the factor by which n2 i changes as T changes from 300 K to 305 K. This will be approximately the..
milk delivery at a local supermarket consisted of 50 liter-sized containers of which 3 were spoiled. if you purchase 2
a fair six sided die is rolled 10 times. calculate the expected value of the sum of the numbers observed. then compute
The planner randomly selected 1000 orders and found that 180 orders were shipped late. Construct the 99% confidence interval for the proportion of orders shipped late.
Did scores change significantly for the group that drank caffeine? Test an appropriate hypothesis and state your conclusion.
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