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Someone claims that within a certain neighborhood, the average cost of a house is µ =$100,000 with a standard deviation of σ = $10,000. Suppose that based on n = 16 homes, you find that the average cost of a house is X¯ = $95,000.
Assuming normality, what is the probability of getting a sample mean this low or lower if the claims about the mean and standard deviation are true?
What is the average speed and how long did the collision last
u.s. bureau of the census data reveal the largest town in the state of oh has a population of one million families. the
Let Y denote the number of weeks in the year in which no orders are received.- What kind of random variable is Y? Explain.- What is the expected number of weeks with no orders?
q1. calculate each of the following values for the data set below assume it is a population.3.42 4.10 4.15 4.19 4.26
Which of these variables are discrete and which are continuous random variables?
A Convergent Variation of the Sub gradient Method) This exercise provides a convergence result for a common variation of the subgradient method (the result is due to Brannlund [1993]; see also Goffin and Kiwiel [1996]).
For most products, higher prices result in a decreased demand, whereas lower prices result in anincreased demand (economist refer to such products asnormal goods). Let
Refer to Exercises 9.21 and 9.29 (p. 487,493). The SAS simple linear regression printout relating number of employees y to age of a fast-growing firm x is reproduced above.
In a one factor ANOVA, there are 3 independent samples, with n1 = 10, n2 = 12 and n3 = 9. The calculated F-statistic is F = 3.31. At the 0.025 level of significance:Use the tables in the text to determine the critical value of the test.
Clyde's Chairs and Things sells custom made chairs. Yearly sales from 1983 to 2011 are provided below. After analyzing the information, answer the following questions as completely as possible:
Find the probability that he will answer at least 3 questions correctly.
A die is rolled twice. Let X denote the sum of the two numbers that turn up, and Y the difference of the numbers (specifically, the number on the first roll minus the number on the second). Show that E(XY ) = E(X)E(Y ). Are X and Y independent?
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