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In statistics, usually hypotheses are created before the data is examined. However, in today's high data output environment, many findings may be examined further after the data is analyzed. Do you think that it is a good approach to generate such hypotheses after the data has been analyzed? Why or why not?
Evaluate the expected value of the total number of sales
Find a point estimate of and a 95 percent confidence interval for the total number of unexcused absences by hourly workers in the last year.
What is the approximate minimum percentage of data in any frequency distribution that lies within 3 standard deviations of its mean?
If we prepare a data set for exercise #9 of chapter 14 (question 3 of this homework), we can use SAS to answer all the questions in parts a), b), c) and d) of this exercise. The sample size (n) for this exercise was 45 and of these 45 third-graders 4..
The variance for a sample was found to be 49. What is the sample standard deviation?
A clinical psychologist is studying the efficacy of a new drug medication for depression.
Universal Burger is concerned about product waste, so they sampled their burger waste record from the past year with the following results: Number of Burgers Discarded During a Shift: 2, 16, 4, 12, 19, 29, 24, 7, 19, 22, 14, 8, 24, 31, 18, 20, 16, ..
Perform a factor analysis on the three variables shown in question 2 above. What do conclude about the factors? Perform another factor analysis that includes the new variable, change in external events. What do you conclude?
SPC is one of a number of tools which can be used to improve manufacturing quality standards - Outline two techniques which can be used to decide where to put SPC effort most effectively.
A box of 1717 parts contains 77 that are defective. A worker picks parts one at a time and attempts to install them. Find the probability of each outcome in (a) through (d). (a) The first two chosen are both good. (Round to four decimal places as n..
Chi square analysis on occurrences of a rare disease in an rural area of 1000 people vs. national averages for this rare disease. Data is based on different age groups:
Which alternative will yield the minimum expected cost? Construct a decision tree for this problem. Indicate the expected costs for the three decision branches.
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