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According to a poll conducted by American Express, 35% of people living in the United States use the Internet when planning their vacation.
a) To conduct a follow-up study that would provide 95% confidence that the point estimate is correct to within plus-or-minus 0.04 of the population proportion, how large a sample size is required?
b) To conduct a follow-up study that would provide 99% confidence that the point estimate is correct to within plus-or-minus 0.02 of the population proportion, how large a sample size is required?
What type of shape would you expect the histogram of the sample size to have? What value would you estimate for the mean of the histogram of sample means?
would this prove that they are exceeding their goal, using = .025?
Use α =.01 and test for a significant difference. What is your conclusion?
The law of large numbers tells us what happens in the long run. Like many games of chance, the numbers racket has outcomes so variable-one three digit number wins $600 and all others win nothing-that gamblers never reach "the long run".
How closely is the height of an individual related to the weight? Partial regression output for a sample of 92 individuals is below.
The 95% confidence interval for the mean of the sampling distribution of the mean is about:
In this paragraph, be sure to make it clear how you handled the issue of conducting three planned comparisons. Also provide the ANOVA summary table for these results.
A recent study of 75 workers found that 53 people rode the bus to work each day. Find the 95 percent confidence interval of the proportion of all workers who rode the bus to work.
Use alpha level. 05 to compute and interpret Pearson's r and to test whether it is important (using all your steps for hypothesis test).
Find the sample mean and sample standard deviation for the amount of unspent money returned at the end of the day.
There are 6 children in a family. The number of children defines a population. The number of simple random samples of size 2 that are possible equals:
47% of students have children under 17 living at home with them. Find the probability that a random sample of 800 students will return more than 50% students with children under 17 living at home with them.
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