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In 1998, as the advertising campaign, Nabisco Company announceda "1000 Chips Challenge," claiming that every 18-ounce bag of their ChipsAhoy cookies contained at least 1000 chocolate chips. Dedicated statistics students at the Air Force Academy bought some randomly selected bags of cookies and counted chocolatechips. Some of their data are provided below. 1219 1214 1087 1200 1419 1121 1325 1345 1244 1258 1356 1132 1191 1270 1295 1135. Develop the 95% confidence interval for average number of chipsin bags of Chips Ahoy cookies.
The Minneapolis Tribune ran an article on gender differences in shopping behavior. When 400 women were asked to respond to the question "Where I shop is influenced by which store has a greater variety," 60% answered "Yes.
Last week I used a stopwatch to measure the echo time of my snare drum in the hall outside my classroom, which is 80 meters long. The average echo time was 10 milliseconds.
A sample of 25 students enrolled in the university indicates that X (bar) = $315.4 and s = $43.20.
Suppose it has been determined that the average number of customers waiting for service is 1.929. There are two servers. Determine:
What sample size should be chosen so that there is 0.95 probability of estimating the mean monthly income in $150 or less?
Suppose you bid $12000. What is the probability that your bid will be accepted?
What type of research design is the strongest when I what to adopt a new educational program? Using a pre-test and post-test with control group, the previous method but without the control group.
Using one proportion z test to find whether or not to support the claim - There is little evidence to reject H 0 , therefore they conclude the tvs are 20 pounds on average.
A simple random sample of 50 adults is obtained, and each person's red blood cell count (in cells per microliter) is measured. The sample mean is 5.23 and the sample standard deviation is 0.54. Use a 0.01 significance level to test the claim that ..
Design a Linear programming problem for the flair Furniture Company and find the combination of tables and chairs that the company must produce to maximize profits.
f x has a normal distribution with mean µ=15 and standard deviation σ= 3, describe the distribution of x values for sample size n, where n = 4, n = 16, and n = 100. How do the x distributions compare for the various sample sizes?
Define probability and explain its three perspectives. Provide an example of each. Explain the concept of mutually exclusive events. How do you compute the probability P(A or B) when A and B are, and are not, mutually exclusive.
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