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25 groups with 7 people in each group, join "The Greatest Loser" competition. Based on the greatest percent of weight loss, the greatest loser wins. Calculations regarding percentages are made by taking the total weight of the group and dividing by 7. Weignts are measured initially and after 9 weeks.
A new group comes along and that only has 5 people. Their weights are also measured initially and after 9 weeks. What would be the most accurate methodology for determining the percentage of weight loss for this new group?
What sample size would be needed to obtain an error of ±10 square millimeters with 99 percent confidence?
Assume you want to repeat the FDA experiment to achieve an estimation of the mean μ of the amount of caffeine content of a cup of coffee.
Using 5% level of significance, is there any difference in proportion of guests who would select the two resorts? What is your conclusion?
Compute Cronbach's alpha on the scale provided on pp. 710-711 of the Field text using the SAQ.sav file.
Evaluate the performance of this decision.
Assume X is an exponential random variable with parameter lambda. Find the method of moments estimator for lambda.
The probability of success for any trial of a binomial experiment is 25%. Find the probability that the proportion of successes in a sample of 500 is less that 22%. Repeat with a sample of 800. Repeat with a sample of 1,000.
Recognize the midpoint of the first class. Recognize the class boundaries of the first class.
At α = 0.01 level of significance, test the hypothesis that these data can be described by a Poisson pdf.
A commuter travels many miles to work each morning. She has timed this trip 5 times throughout the last month. The time (in minutes) required to make this trip was 44, 39, 41, 35, and 41.
The probability that Pete will catch fish when he goes fishing is .8. Pete is going to fish three days next week. Define the random variable x to be the number of day Pete catches fish. (hint. binomial distribution)
A study published in the New England Journal of Medicine (Aug. 2001) suggests that it's dangerous to enter a hospital on a weekend. During a 10-year period, researchers tracked over 4 million emergency admissions to hospitals in Ontario, Canada. T..
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