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An anthropologist measured the heights (in inches) of a random sample of 100 men from a certain population, and found the sample mean and variance to be 71 and 9 respectively.
(a) Find a 95% confidence interval for the mean height it of the whole population.
(b) Find a 99% confidence interval.
An educational psychologist is interested in knowing whether the experience of attending preschool is related to subsequent sociability.
At the .01 significance level, can we conclude that there is more variation in the selling prices of the oceanfront homes?
A neighborhood home owners association suspects that the recent appraisal values of the houses in the neighborhood conducted by the county government.
a manufacturer of strapping tape claims that the tape has a mean breaking strength of 500 psi. experience has shown
Heights of adult men between 18 and 34 years of age are normally distributed with mean 69.1 inches and standard deviation 2.92 inches.
A basketball player makes 80% of his free throws. If he attempts eight free throws during the next game, what is the probability that he will make more than his average?
When circuit boards used in the manufacture of compact disc players are tested, the long-run percentage of defectives is 5%. Suppose that a batch of 250 boards has been received and that the condition of any particular board is independent of tha..
Would the range of individual weight losses in the sample be likely to increase, decrease, or remain about the same if the sample size were increased fourfold? Explain.
Be certain to mention what inferential statistics is and why we use it, what is random sampling, which is statistical significance and why we test it.
Scientists debate the effects of increased carbon dioxide in the atmosphere, largely the result of burning fossil fuels. But atmospheric carbon dioxide levels.
A gambler has developed two strategies for betting in the game of blackjack. To test these strategies, he decides to go gambling on a casino boat.
A local hardware store claims that the mean waiting time in line is less than 3.5 minutes. A random sample of 20 customers has a mean of 3.7 minutes with a standard deviation of 0.8 minute. If α = 0.05, test the store's claim.
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