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The National Survey of Student Engagement (NSSE) surveys freshmen and seniors about their level of engagement in campus and classroom activities that enhance learning. Hundreds of thousands of students from over 1,200 schools have completed surveys since 1999, the first year that the NSSE was administered. Among the many questions on the NSSE, students were asked how often they were assigned a paper of 20 pages or more during the academic year. For a sample of 19 institutions classified as national universities that made their data publicly available through the U.S. News & World Report Web site, here are the percentages of students who said they were assigned between 5 and 10 20-page papers:
0 5 3 3 1 10 22 3 1 2 4 2 11 1 4 3 5
a. Create a histogram of grouped data using 5 intervals.
b. How many schools had 6% or more of their students reporting that they wrote between 5 and 10 20-page papers that year?
c. How is the data distributed?
A sample of 40 decaffeinated-coffee drinkers showed a mean of 5.84 cups per day, with a standard deviation of 1.36 cups per day. Use the .01 significance level. Compute the p-value.
What is the city mileage standard deviation for this SUV model?
In each of the following cases, decide whether or not a binomial distribution is an appropriate model, and give your reasons.
The sample size n , the sample means, and the sample standard deviations for the two groups are given below.
If the player does not win or lose on his second roll he continues to roll, using the same criteria given for the second roll.
Create ADM/PERT diagram. Determine the critical path.
Which of these following statements provides the best guidance for the model building?
if you sample 100 people and 20 turn out to be over 65 inches tall, you get $20. Which is better: a sample of size 100 or a sample of size 1,000? Choose one and explain. Does the law of averages relate to the answer you give?
Give a mathematical expression for the probability density function of driving distance.
Perform a posthoc test that is suitable if we assume that group 7 is a control group and that the other are different treatment groups and that we are only interested in finding significant treatments, not to compare them.
Computing the Z scores for the given data and evaluate µ and σ for the population.
If the manufacturer's claim is true, what is the probability that the claim will be rejected?
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