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The L. M. Corporation purchases old, run-down buildings, remodels them, and then sells them. The corporation has the opportunity to purchase a building for $100,000, which will cost $60,000 to remodel. The manager thinks there is a 50% chance that the building will sell for $120,000, yielding a $40,000 loss, a 20% chance that the building will sell for $180,000, yielding a $20,000 profit, and a 30% chance that the building will sell for $230,000, yielding a $70,000 profit. What is the expected profit? = E( X - ) = ( xi - What is Var(X)?
Briefly describe co relational research. Name a variable from this study and one from the workplace that might prove to provide a co relational relationship
Are all the events in this distribution mutually exclusive? Describe in detail.
Calculate the limits within which the weight of the packets should lie assuming that the machine is not been classified as faulty.
In baseball, a "no-hitter" is a regulation 9-inning game in which the pitcher yields no hits to the opposing batters. Chance (Summer, 1994) reported on a study of no-hitters in Major League Baseball (MLB).
In the Florida lottery, six numbers from 1 to 53 must be selected. to win the jackpot, the six numbers must match the draw numbers.
The management of White Industries is considering a new method of assembling its golf cart. The present method requires 42.3 minutes, on the average, to assemble a cart.
Is sample of 25 papers large adequate to give a good estimate of mean score of all 42,000 students on this exam problem? Explain your answer.
Leading product are falling leading to declining revenues. Draft a research proposal for the client based on a scientific methodology.
Determine the probability of a positive economic trend given an increasing employment. Are employment and economic trend independent?
Its probability distribution is as follows. Find the standard deviation of the number of houses sold. A. 2.25 B. 2.62 C. 1.62 D. 6.86 E. 4.45.
Compute the number of French fries that would have to be sampled and measured to be 98% sure of being within 0.4 cm of the true mean.
If random sample of 9 loads is selected for a weight check, determine the probability that mean weight of those loads is more than 40.60 tons.
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