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Although the rules of probability are just basic facts about percents or proportions, we need to be able to use the language of events and their probabilities.
Choose an American at random. Define two events:
A) = the person chosen is obese
B) the person chosen is overweight, but not obese
According to the National Center for Health Statistics, P (A) = 0.32 and P (B) = 0.34
1) Explain why events A and B are disjoint
2) say in plain language what the event "A or B" is. What is P (A or B)?
3) If C is the event that the person chosen has normal weight or less, what is P ( C )?
Listed below are weights in grams from a sample of these bats. Construct a 95% confidence interval estimate of their mean weight.
What is the difference between dependent and independent samples? Discuss differences is statistical treatment, statistical power, and data management.
No, there is not enough information to refuse hypothesis that proportion of male students who live on campus and proportion of female students who live on campus are same as the test value -1.65 is inside acceptance region (-1.96,1.96).
Using the following data on 15 workers, construct an exact 95% confidence interval for µ.
A survey is planned to determine the mean annual family medical expenses of employees of a large company. The management of the company wishes to be 95% confident that the sample mean is correct to within plus-or-minus $50 of the population mean.
Plot the control limits for the mean outside diameter and the range.
Historically, 70% of your customers at Rodale Emporium pay for their purchases using credit cars. In a sample of 20 customers, find the probability that
If a complete failure occurs, calculate the probability that the fault occurred in:
Estimate the number of workers in the sample who are union members by giving the mean of the relevant distribution (that is, the expectation of the relevant random variable). Do not round your response.
Test hypothesis that annual incomes of corporate trainers in areas of more than 500,000 are considerably more than those in areas of less than 100,000. Make use of the 5% level of risk.
An investment broker reports that the yearly returns on common stocks are approximately normally distributed with a mean return of 12.4 percent and a standard deviation of 20.6 percent.
When using past data, I have found that the proportion of items rejected by quality control personnel is about 3%. We normally make 5000 items per day. For a p chart, what are the upper and lower control limits?
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