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Suppose for each student in a large statistics class, you record how far she/he sits from the teacher during a particular class session and how much time she/he spends on her/his computer during class. (No explanations are necessary for the following questions.)
a. Students who sit closer to the teacher tend to use their computer less in class. Would you expect the correlation coefficient between distance and computer usage time to be positive, negative, or close to zero?
b. The correlation coefficient between distance and computer usage time turns out to be close to -1. Would that prove that sitting close to the teacher causes students to spend more time using their computer in class?
c. There is really no association between distance and computer usage time. Would you expect the correlation coefficient to be positive, negative, or close to zero?
d. There is really no association between distance and computer usage time. Is it still possible to calculate a correlation coefficient?
The following sample data were obtained from three populations that did not follow a normal distribution. Compute the value of the test stastic. What is your decision on the null hypothesis?
What is the appropriate procedure to test a significant difference in means between the two groups? Use the critical -value method.
the following table shows six years of average annual cost-of-living index datayearannual cost of living
companies that do business over the internet can often obtain probability information about web site visitors from
The traveling salesperson randomly selects 5 apartments in your building to visit. What is the probability that she visits both you and your neighbor bill?
A product sold by Home Depot, Inc., with an annual demand of 1000 units has Co = $25.50 and Ch = $8. The demand exhibits some variability such that the lead-time demand follows a normal probability distribution
For the period from 1918 to the present, in a random sample of 13 wolves spotted in the region, what is the probability that 10 or more were male? What is the probability that 10 or more were female?
I'm having difficulty understanding and showing in layman terms or simple terms an example and comparison between the ANOVA test, Kruskal-Wallis test, and T-Test Statisitc.
Firm D has net income of $27,900, sales of $930,000, and average total assets of $465,000. Calculate the firm's margin, turnover, and ROI.
The mean, median, and mode are the most common measures of dispersion (spread).
foreign affairs magazine conducted a survey to develop a profile of its subscribers foreign affairs website february 23
When comparing data from different distributions, what is the benefit of transforming data from these distributions to conform to the standard distribution?
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