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It is known that the true proportion of units in a very large population that have a particular characteristic is 0.45. A simple random sample of size n = 500 is to be selected from the population. What is the probability that the sample proportion,p^ , will be within ± 3 percentage points of the true p, i.e., Pr{0.42 ≤p^ ≤ 0.48}?
A confidence interval estimate for the population mean is given to be (35.55, 44.12). If the standard deviation is 15.797 and the sample size is 37, answer each of the following: (A) Determine the maximum error of the estimate, E.
An auditor reviewed 25 oral surgery insurance claims from a particular surgical office, determining that the mean out-of-pocket patient billing above the reimbursed amount was $275.66 with a standard deviation of $78.11.
Temperature is used to measure the output of a production process. When the process is in control , the mean of the process is 128.5 and the standard deviation is 0.4
Provide an explanation of a chi-square test. Why would you use the chi-square statistic? What type of data is used with chi square analysis?
Use the p-value approach and test to determine if the average yearly income of marketing managers in the East is significantly different from the West.
They hope to use a sample size such that, with probability 0.95, the error will not exceed 0.04. What sample size will ensure this, regardless of what sample proportion value occurs when they gather the sample?
The first three digits of a university telphone exchange are 452. if all the sequences of the remaining four digits are equally likely, what is the probability that a randomly selected universtiy phone number contains seven distinct digits?
WHich sampling method from the choices listed above would be best? Describe how you would carry out your chosen sampling method of a student from part (a)
What is the most controllable method of increasing the precision (narrowing) of the confidence interval? What percentage of times will the mean (population proportion) not be found within the confidence interval?
Suppose you study a random sample of 100 GRE verbal exams. Determine the probability that the average (mean) score in this sample will be between 485 and 515.
Does the normal distribution yield a good approximation of the actual results?
the probability that it gets by the first inspector is 0.1. Of those that get past the first inspector, the second inspector will miss 5 out of 10. What fraction of the defective items gets by both inspectors?
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