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Sample size and margin of error. In Section 8.1, we studied the effect of the sample size on the margin of error of the confidence interval for a single proportion. In this exercise we perform some calculations to observe this effect for the two-sample problem. Suppose that p^1 = 0.7 and p^2 = 0.6, and n represents the common value of n1 and n2.
Compute the 95% margins of error for the difference in the two proportions for n = 40, 50, 80, 100, 400, 500, and 1000. Present the results in a table and with a graph. Write a short summary of your findings.
Metabolic rate and body mass for caterpillars. Use the output provided in Example 28.10 (page 28-20) to answer the questions below. (a) Find a 95% confidence interval for the slope parameter ß for caterpillars during Stage 4.
q1. in the poker game a hand is a set of 5 cards chosen randomly from a usual deck of 52 cards.a how many straight
Servings of water is approximately normally distributed with a standard deviation of 1.4 serving, what proportion of americans drink a. more than the recommended 8 servings.
Past studies have shown that only 95% of booked passengers actually show up for the flight. What is the probability that exactly 99 booked passengers actually show up for the flight?
question in a study of the effects of stress on illness a researcher tallied the number of colds people contracted
A hypothesis will test that two population means are equal. A sample of 10 with a standard deviation of 3 is selected from the first population and a sample of 15 with a standard deviation of 8 from the second population.
Break-even analysis is an important part of fiscal education. Select an item or product used in a healthcare organization and describe how you would calculate the break-even point.
suppose that the mean score on a creativity test is 20 and the standard deviation is 5. you are told that the
determine whether the hypothesis test involves a sampling distribution of means that is a normal distribution student t
Four percent of DVD players manufactured by an electronics company are defective. Suppose six DVD players are randomly selected from the production line. Each DVD player is determined to be defective or non-defective.
The jackpot depends on the number of players and is usually worth several million dollars. What is the probability of winning the jackpot?
question consider the following record of sales for a product for the last 100 days. sales unitsnumber of days
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