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The dice game craps is played as follows. The player throws two dice, and if the sum is seven or eleven, then he wins. If the sum is two, three, or twelve, then he loses. If the sum is anything else, then he continues throwing until he either throws that number again (in which case he wins) or he throws a seven (in which case he loses). Write a program to simulate a game of craps. You can use the following snippet of code to simulate the roll of two (fair) dice: x <- sum(ceiling(6*runif(2)))
You're considering investing in a portfolio of the common stocks of four publicly-traded companies with betas as follows:
If the sample size is 36 with three treatment means (response variables) and you are performing an ANOVA, then the degrees of freedom for the error term will be:
Assume that you choose a 50 families sample. Which is the form expected from the distribution of the average or median of the sample?
Calculate the standard deviation for this data = since it is a case of grouped data with classes. use group or class midpoints in the formula in place of x values.
Give an example using either completing the square or the quadratic formula and explain each step as if you were teaching someone who had never used the method before.
Approximately 30% of obese patients develop diabetes. If a physician sees 10 patients who are obese, a) What is the probability that half of them will develop diabetes?
Find out the probability that at least one of the CD's is defective?
Discuss the advantages of non-parametric methods. As an educator, how would they be useful to you? In what situations would you use them?
A certain type of lightbulb has an average life of 500 hours with a standard deviation of 100 hours. The length of life of the bulb can be closely approximated by a normal curve.
A psychologist interested in political behavior measured the square footage of the desks in the official office of four U.S. governors and of four chief executive officers (CEOs) of major U.S. corporations.
Discuss how the null and alternative hypothesis for one-sample testing differs from two-sample testing; and explain how these two hypothesis' are the same, and provide a numerical example?
Tthe probability distribution of each of his readings had a mean of 128 and a standard devation of 9. what is the probability of the sample mean that exceeds 140?
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