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Let et be an iid (0,1) process. Define Yt = et for t not= 1 and Yt = 1/sqrt2 (e_t-1_squared - 1) for t=1. Show that Yt is a white noise process despite the fact that Y1 is perfectly predictable from the earlier observation.
A population is normally distributed with the mean of 100 and a standard deviation of Would it be unusual for mean of sample of 3 to be 115 or more? Why or why not?
What are the assumptions of regression analysis and how do you evaluate them?
A recent study claimed that 15% of all eighth- grade students are overweight. In a sample of 80 students, 9 were found to be overweight. At a= 0.01, is there enough evidence to reject the claim using critical values?
If test results over long period of time illustrate that 5% of x values are over 2.1 pounds and 5% are under 1.9 pounds, determine mean and standard deviation for population of products produced with this process?
Is there sufficient evidence for concluding that true average repair time exceeds 200 min? Carry out a test of hypotheses using a significance level of .05.
The heights of 18 year old men are approximately normally distributed with mean 68 inches and a SD of 3 inches.
Describe a situation in which correlation analysis or regression analysis can be (or was) misused to explain cause and effect relationship in a case of fortuitous correlation.
A recent study focused on the number of times men and women who live alone buy take-out dinner in a month. The information is summarized below.
Critically discuss some examples of descriptive statistics? Why are they used in research? What is a confidence interval?
An American put option to sell a swiss franc for dollars has a strike price of $0.80 and a time to maturity of one year. The volatility of the swiss franc is 10%
If the lowest score you can earn and still be eligible for employment is an 84, what is the mean score for the exam? Round your answer to the nearest tenth.
A human resources director, on learning about the regression effect, decides to hire people who have been fired by their previous employer for poor performance.
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