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What are differences between parametric dependent and independent samples? My facilitator has been known to describe a scenario with two objects and an associated measurement versus another scenario with one object and two associated measurements in his on ground classes. Which is which? Provide concrete examples of each. Then explain the difference from nonparametric dependent and independent samples. What are implications for determining the tests used to analyze data? How is parametric data different from nonparametric data?
Discuss whether this variable should be placed in the model as an ordinary quantitative variable or by means of four 0, 1 indicator variables.
Analyze the data using linear contrasts to make the following comparisons:
Determine whether and how each of the following factors would shift the demand curve for chiropractic visits:
In the biology class the mean score was 79 with standard deviation 5.
At a board meeting of 20 businessmen, all of whom wear ties, what is the probability that:
The lapping process, which is used to grind certain silicon wafers to the proper thickness, is acceptable only if 'sigma', the population standard deviation of the thickness of dice cut from the wafers, is at most 0.50 mil.
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.
In a sample of 55 mice, a biologist found that 42% were able to run a maze in 30 second or less. Find the 90% limit for the population proportion of mice who can run a maze in 30 second or less.
I am not understanding how to do this question as I am still trying to grasp an understanding of the material. I came across this question at the end of the chapter:
The sales manager had predicted, before the business started, that year 1's sales would be 410 air conditioners. Using exponential smoothing with a weight of alpha = 0.30, develop forecasts for years 2 through 6.
What is the null hypothesis? Use a = 0.05 .
Suppose we compare two population means, μ 1 - μ 2 . In each case, indicate how μ 1 relates to μ 2 :
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