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A problem to solve. What sample size must be taken to estimate the average gas price in houston with 99% confidence and max error of 5 cents? Assume population standard deviation of gas prices is 60 cents.
(12,50), (6, 36), (20,60), (5,24), (38,70), (3,24), (8, 42), (20,65), (10, 40), (15, 60). Your best guess of the correlation coefficient between the two variables is?
What is the value of the slope of the least squares regression line for these data? Round your answer to at least four decimal places.
You are a research analyst with a large research and development firm, Akron Research. Your firm performs studies and analysis for companies that need product, process improvement, manufacturing, and consulting research services.
Suppose the waiting time at a restaurant is normally distributed with a mean of 12 minutes and a standard deviation of 6 minutes.
Test the claim at alpha-.05 that the average wage has not changed by finding the p-value for the test.
Recent studies indicate that the typical 50-year-old woman spends $350 per year for personal-care products. The distribution of the amounts spent is positively skewed.
Use a two proportion z-test to perform the required hypothesis test. State the conclusion.
A random sample of 17 wolf litters in Ontario, Canada gave an average of x1= 4.9 wolf pups per litter, with estimated sample standard deviation s1 - 1.0.
What size random sample should you take if you want to estimate the annual salary in the population with 99 percent confidence and a maximum margin of error of $250?
Using a significance level of 0.05 I want to conduct 3 hypothesis tests using the data below. I need to state my alternative and null hypotheses and test a claim about a proportion.
A sociologist wants to describe if the life expectancy of people in Africa is lesser than the life expectancy of people in Asia.
The lifetime of a 2-volt non-rechargeable battery in constant use has a Normal distribution with a mean of 516 hours and a standard deviation of 20 hours. The proportion of batteries with lifetimes exceeding 520 hours is approximately.
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