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A crossover trial is planned to evaluate the impact of an educational intervention program to reduce alcohol consumption in patients determined to be risk for alcohol problems. The plan is to measure alcohol consumption ( the number of drinks on a typical drinking day) before the intervention and then again after participants complete the educational intervention program. How many participants would be required to ensure that a 95% confidence interval for the mean difference in the number of drinks is within two drinks of the true mean? Assumed that the standard deviation of the difference in the mean number of drinks is 6.7 drinks.
In general, determine the standard score a measure of?
Assume a sample of 400 American adults were taken. Show the sampling distribution of the proportion of adults who balance their checkbook at least once a month.
In large accounting firm, the proportion of accountants with MBA degrees and at least five years of professional experience is 0.75 times the proportion of accountants with no MBA degree and less than 5 years of professional experience.
Maria Gomez, a research analyst in the state department of health, has undertaken a study of the possible consequences of overbuilding hospital facilities.
What is the relationship between the amount spent per week on food and the size of the family? Do larger families spend more on food?
What is the probability of the person is 20 to 24 years old.What is the probability of the person is 20 to 34 years old.
A company is interested in estimating μ, mean number of days of sick leave taken by its employees. The firm's statistician randomly selects 100 personnel files and notes the number of sick days taken by each employee.
Also, the sample data appear to have a bell-shaped distribution. Construct the 95% confidence interval for the mean time spent on paperwork by all managers.
How large a sample is required if the 97 percent level of confidence is used and the estimate is to be within $2,500? The standard deviation is $16,000.
What is the probability of this actually happening?
What is the best prediction for the number of products sold based on advertising costs of $7000?
The upper limit of a 95% confidence interval for the population mean would equal:
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