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A company manufactures 7 foot 6 inch aluminum fence, how much the average post that they manufacture weighs (in pounds), so they decide to weigh 25 such posts and record the results. company wants to be 98% confident in the average weight of all their manufactured posts to within 0.5 lbs., what is the maximum standard deviation they can record from their sample before they will have to increase their sample size for greater accuracy?
There are n people eligible to vote in a certain election. Voting requires registration. Decisions are made independently.
a. What is the probability that you will make a Type I error given that the null hypothesis is true? b. What is the probability that you will make a Type I error given that the null hypothesis is false?
Distinguish between a non conformity and a nonconforming item.- Give examples of each in the following contexts:- Financial institution- Hospital- Microelectronics manufacturing.
Suppose the number of used cars sold, and the number of new cars sold are independent. Find the mean and standard deviation of the dealer's profit in a month.
In a simple linear regression based on 30 observations, it is found that b1 = 7.2 and Sb1 = 1.8. Consider the hypotheses:
For commercial banks in each state, the U.S. Federal Deposit Insurance Corporation has listed their total deposits (billions of dollars) as follows.- Construct a frequency distribution and a histogram for these data.
jason has several shirts pants and shoes that he can mix and match to create 48 different uniform combinations. what
Look at the shape of the binomial distribution for various combinations of n and p. Speci?cally, let n = 5 and try p = 0.2, 0.5, and 0.8. Repeat the same for other values of n. Can you say something about how the skewness of the distribution is affec..
What are the degrees of freedom of the t test statistic when testing whether the number of customers who make purchases affects weekly sales and what is the value of the standard error of the estimate?
Explain the results plot the original data and the fitted regression equations.
Logistic Regression Values 2- to 3-paragraph post, construct a persuasive argument for the value (conditional probability, odds, odds ratio, etc.)
If the family buys a $200,000 house in the new city, what percentage of houses there will cost less than theirs?
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