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Suppose you are planning to carry out a z-test, testing:H0: mu = 100H1: mu not equal to 100
and using an alpha level of .05. The population standard deviation is sigma = 60, and you are using a sample of size n = 36. In this situation, the probability of a Type I error (incorrectly rejecting a true null hypothesis) is 5% (i.e., the same value as the alpha level). Suppose that the actual mean value in the population is mu =120 , what is the probability of a Type II error (incorrectly accepting a false null hypothesis)?
Which trend model is best, and why? If none is satisfactory, explain. (e) Make a forecast for 2003, using a trend model of your choice or a judgment forecast.
The factorial structure of treatments. What does this plot recommend about suitability of no-interaction assumption here?
Describe a situation that might be viewed differently by two people. This event can be as minor as an encounter on the street or as major as the birth of a child.
Assume you randomly sample one mouse from the colony. The probability his age will be between 55 and 70 days is?
If he succeeds he will obtain 2000 US dollars. suppose that thief currently has 1500 US dollars in his pocket. Compute expected value of this undertaking.
When redesigning the fighter jet ejection seats to better accommodate women, which probability is more relevant: The result from part (a) or the result from part (b)? Why?
In this context, describe the Type I error possible. How might such an error impact ABI Insurance? In this context, describe the Type II error possible. How might such an error impact ABI Insurance?
Compare and contrast the characteristics of parametric and non-parametric test methodologies. Give examples of when to use each.
The mean amount of a purchase at the Smith Hardware store is $23.50 with standard deviation of $5.00. The amounts purchased follow normal distribution.
Assuming that the heights of college women are normally distributed with mean 62 inches and standard deviation 3.5 inches, what percentage of women are between 58.5 inches and 72.5 inches?
I believe this can be done by plotting out every 3 years average number of people working past 65 since 1997 until now and then making a predictability study as to number of people who will be working over the age of 65 in 2012.
What is the sampling distribution of sample means? What is the mean of the sampling distribution of sample means?
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