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Problem: Your friend who works in ?nancial investment company comes to you with a problem. She is interested in estimating some parameter α from her data (which has sample size n = 350). She managed to come up with an estimate ˆ α, but her boss asked for a 90% con?dence interval for α as well. When you ask for details, she refuses to give you any more details as the model is a proprietary one.
Can you give her some advice on how to proceed? Give some details.
What sample size would be needed to estimate he population mean to within one-half standard deviation with 95% confidence?
Use the given data to construct a confidence interval for the population standard deviation, s.
In the regards to a stem-and-leaf plot that best represents the given data, what would the stem be? Determine which stem would have the most leaves and explain what this means in terms of the GPA's.
(a) Determine the minimum value of the gain K when Gc(s) = K, so that the steady-state effect of a unit step disturbance Td(s) = 1/sis less than or equal to 5% of the unit step (y(∞) = 0.05).
Give a 95% confidence interval for the mean blood pressure of the population from which the subjects were recruited.
What is the probability that among the balls drawn there will be (i) 1 white and 2 black balls, (ii) at least 2 black balls, (iii) more black than white balls?
What is the value of the test statistic (Zstat or z-sub-xbar)?
In addition, is it a problem that the number of men and women in the sample is different? Why or why not? Note: This is a two sample test for proportion, please use the following guidelines
Suppose we generate a random variable X in the following way. First we ?ip a fair coin. If the coin is heads, take X to have a Unif(0,1) distribution. If the coin is tails, take X to have a Unif(3,4) distribution.
Critically illustrate out the difference between a histogram and a dot plot. When might a dot plot be better than a histogram?
Find the probability that a course has a final exam or a research project.
Jurors place a lot of weight on eyewitness testimony. Imagine you are an attorney representing a defendant who is accused of robbing a convenience store.
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