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Vincent Chiarella was employed as a printer in a financial printing firm that handled the printing for takeover bids. Although the firm names were left out of the financial materials and inserted at the last moment, Mr. Chiarella was able to deduce who was being taken over and by whom from other information in the reports being printed. Using this information, Mr. Chiarella was able to dabble in the stock market over a 14-month period for a net gain of $30,000. After an SEC investigation, he signed a consent decree that required him to return all of his profits to the sellers he purchased from during that 14-month period. He was then indicted for violation of 10(b) of the 1934 act and the SEC's Rule 10b-5. Did Mr. Chiarella violate 10b-5? [Chiarella v. United States, 445 U.S. 222 (1980)]
suppose it has been observed that touchdowns scored in a game by your favorite football team are poisson random
Assume that replacement time for TVs are normally distributed with a mean of 8.2 years and a standard deviation of 1.1 years. The probability a randomly selected TV will have replacement time less than 5.5 years to be .0071.
why would you use the tukey-kramer procedure?to test for normalityto test for homogeneity of varianceto test for
Must the company replace old truck? If so which of new trunks must they use? Describe in detail.
Use the given information to estimate the probability that a newborn baby is male, given that the ultrasound predicted the baby would be male.
A couple decides to save to buy a car in two years' time. They will invest a fixed sum into a two-year fixed deposit savings account that pays interest at 12% p.a. How much would they need to invest today to have R150 000 at the end of the two-yea..
Repeat construction of the optimal ?lter from Example 7.3.1 in the case when the useful signal Y (t)has a more general power spectrum a SY (f ) = b2 + f 2 , and the uncorrelated white noise N(t) has arbitrary power spectrum SN (f ) ≡ N .
The mean number of cargo ships that arrive at a port is 3 per day. The port has staff and facilities to handle up to 6 ships in a day. Using the Poisson distribution, find the probability that, on a given day,
Calculate the sample mean, sample variance, and sample standard deviation for the following data set
What happens to the confidence interval when we go from a 95% confidence level to a 99% confidence level? Is this desirable? When would we want to use a 99% confidence interval?
The dataset Length.jmp contains a simple random sample of 50 stainless steel sheet metal screw from Crown Bolt
question in 2000 27.7 of incoming freshmen characterized their political views as liberal 51.9 as moderate and 20.4 as
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