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Of the items produced daily by a factory, 40% come from line I and 60% from line II. Line I has a defect rate of 8%, whereas line II has a defect rate of 10%. If an item is chosen at random from the day's production, find the probability that it will not be defective.
You've two separate sets of data. From one set you calculate the standard error to be 500. From the other set, the standard error was 5.
describe the role and importance of listening skills in cross-cultural communication. how can these skills be learned
Furnish 2 offices each with a desk, chair, and file cabinet and 2 bookcases. At a local store there are 6 models of desks, 8 models of chairs 4 models of file cabinets and 10 models of bookcases.
a bank is trying to determine which of two machines should be rented to process checks. machine 1 rents for 10000 per
a companys construction time follows a normal distribution. the mean time to construct a building is 100 days and the
lester hollar is vice president for human resources for a large manufacturing company. in recent years he has noticed
A production process that is in control has a mean (m) of 80 and a standard deviation (s) of 10. Determine the upper and the lower control limits for sample sizes of 25
Describe a scenario related to the final project in which you would use repeated-measures ANOVA. Describe a scenario related to the final project in which you would use MANOVA.
Based on what we know about statistics and using your example, how do you believe statistics can enrich and represent the results of a study? How can statistics be used to misrepresent the results of a study?
an internal study by the technology services department at lahey electronics revealed company employees receive an
Based on data from the College Board, assume that SAT scores are normally distributed with a mean of 1518 and a standard deviation of 325. Assume that many samples of size n are taken from a large population of students and the mean SAT score is c..
State appropriate null and alternative hypotheses. Report the test statistic, its degrees of freedom, and the P-value. What do you conclude?
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