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SAT verbal scores are normally distributed with a mean of 401 and a standard deviation of 91. Use the Empirical Rule to determine what percent of the scores lie between 310 and 492.
For a discrete probability function that is given as: a. What is the expected value E(Y)? b. What is the standard deviation (σ) of the random variable Y?
The U.S.Census Bureau announced that the median sales price of new homes sold i April 2009 was $221,660, and the mean sales price waas $274,300. Assume that the standard deviation of the prices is $90,000.
The Z score on the comparison distribution for the sample score, and (c) your conclusion. Assume that all populations are normally distributed.
The mean increase is $332, and the standard deviation is $108. Give a 99% confidence interval for the mean amount of the increase. Does omitting the annual fee induce customers to charge more on their credit cards?
Your mayor just announced that the local unemployment rate dropped last month from the prior month. It went from 10.5% to 10.4%. Is this a significant drop? Explain.
Population of consumers where 30% of them favored a new product and 70% of them disliked it. If 20 persons are sampled, what are the probabilities of finding: Binomial
The probability is 90% that the sample percentage is contained within what symmetrical limits of the population percentage?
4th graders in the US take a standardized test for math. The national average score is 237. Did your state, as represented by your students, out perform the national average using a statistically significant measure?
A population of scores forms a normal distribution with a mean of μ = 40 and a standard deviation of σ =12.
A researcher is comparing two antihypertensive drugs A and B with regards to reduction of patient's systolic blood pressure (SBP). Baseline SBP is measured for two groups of patients.
A clothing manufacturer tests an SRS of 3 specimens of each fabric. (a) What is the probability that the mean breaking strength of the 3 untreated specimens exceeds 49 pounds.
What distinguishes regression from ANOVA? What are the assumptions and limitations of each, and when should one be used in place of the other
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