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1. A 2003 CBS News poll sampled 523 adults who were planning a vacation during the next 6 months, and found that 141 were expecting to travel by airplane. A similar survey in May 1993 reveled that of 477 adults who were planning a vacation in next 6 months, 81 were planning to travel by airplane.
If the computed value for this problem is +3.79 and the level of significance is 0.01, can we conclude the percentage of people who plan to travel by plane for vacations has changed from 1993 to 2000?
2. A large automobile insurance company selected samples of single and married male policyholders and recorded the number who made an insurance claim over the previous 3- year period. The results were as follows:
Single Policyholders Married Policyholders
n1 = 400 n2 = 900
Number making claims = 76 Number making claims = 90
Using alpha = 0.05 and a computed value of +4.49, can we conclude that the percentage of claims for married policyholders is less then for single policyholders?
At the 5% significance level, if the sample proportion is .45, and the standard error of the sample proportion is .035, the appropriate conclusion would be:
What are the possible combinations of coins that Sanjay could have received in change?
Support colour-coding on packaged food to indicate healthier options
Heights of 18-year-old men are approximately normally distributed, with mean 68 inches and standard deviation 3 inches.
Why is it misleading to draw the conclusion from the test above that long-time exposure to cadmium reduces the vital capacity?
Either summarize your design or give an appropriate layout with table.
Find the mean and standard deviation of X, the number of students in class, who will develop influenza.
Explain your answer to someone who is familiar with the T test for a single sample, but not with the T test independent means.
Here are fifty observations on the weight of tea bags. Create mean, mode and median.
Gas consumption of 3 cars (labeled car A, car B, and car C) using 4 different kinds of gasoline. Is there difference among kinds of gasoline?
Below are one hundred pseudorandom numbers from a uniform pdf. Set up and test the appropriate goodness-of-fit hypothesis. Let α = 0.05.
Assuming the nurses surveyed were a random sample from the population of all nurses in the United States, we can use these data to test the null hypothesis H0 that there is no association between the row and column variables in this two-way table...
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