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3. According to the College Board's report, the average tuition and fees at four year private colleges and universities in the United States was $18,273 for the academic year 2002 - 2003 and the standard deviation was $2100. For a random sample of 100 four year private U.S. colleges:a. What is the mean of the sampling distribution?b. What is the standard deviation of the sampling distribution?c. What is the probability that the mean tuition and fees of the sample is greater than $20,000?d. What is the probability that the mean tuition and fees of the sample is less than $16,000?e. What is the probability that the mean tuition and fees of the sample is within $550 of the population mean?
If a student studies for 15 hours, what score should the student expect on the next. What percent of the variation in the points earned on the exam is explained by the number of hours the student studies?
If the sample size (n) is large, and the sample is a random sample, then the distribution of the sample mean x-bar is approximately a:
A person makes random guesses for 10 true-false questions on a test. Find the probability that the student answers at least one question correctly.
Find the point estimate for the population proportion, the margin of error for a 95% confidence and then construct to the 95% confidence interval for the population proportion
Can you conclude that u1 is not equal to u2 at alpha=.05? State the hypothesis in orders of 1-2. construct a 99% confidence interval for the difference in true means. State the confidence interval in terms of 2-1.
Now imagine repeating the survey many, many times, each time recording a different sample mean commute distance. In the long run, a histogram of these sample means represents?
Public transportation and the automobile are 2 methods an employee can use to get to work each day. Samples of times recorded for each method are shown. Times are in minutes.
What is the correlation, and why is it so high? Since all of the guessed weights were higher than the actual weights, does that influence the correlation at all?
Consider the following data for two independent random samples taken from two normal populations. What is the 90% confidence interval estimate of the difference between the two population means?
The rest type AB. Someone volunteers to give blood, what is the probability that this donor has the complement of type O?
The sample mean was x=4.05 mm, and the sample standard deviation was s= 0.08 mm. Find a 95% lower confidence bound for mean wall thickness. Interpret the interval you obtained.
A certain disease occurs in 35% of the population. A test for the disease is fairly accurate: it misclassifies people with the disease as healthy 6% of the time and reports that a healthy person is diseased just 7% of the time.
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