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Question: Day trading again. An option to buy a stock is priced at $200. If the stock closes above 30 on May 15, the option will be worth $1000. If it closes below 20, the option will be worth nothing, and if it closes between 20 and 30 (inclusively), the option will be worth $200. A trader thinks there is a 50% chance that the stock will close in the 20 30 range, a 20% chance that it will close above 30, and a 30% chance that it will fall below 20 on May 15.
a) Should she buy the stock option?
b) How much does she expect to gain?
c) What is the standard deviation of her gain?
Over the past decade, there has been a strong positive correlation between teachers salaries and prescription drug cost.
Conduct the test at a = 0.05, and evaluate the effectiveness of the programs in terms of increased average salary levels.
Carry out the suitable calculations to test for effect modification. Interpret your results.
One of the most powerful people in Hollywood is not an actor, director, or producer. It is Richard Soames, an insurance director for the London-based Film.
Suppose that during the ith day of December, the energy Xi stored by a solar collector is well modeled by a Gaussian random variable with expected value 32 - i/4 kW-hr and standard deviation of 10 kW-hr.
Aggregate the data into groups of four, and construct a control chart for the process mean. Is the waiting time at the restaurant under control?
Suppose that you are interested in determining the effectiveness of an intensive supervision program (ISP) for poor student performers. To examine its effectiveness, you keep track of 12 students entering an ISP for one year and tabulate the numbe..
In quality-control projects, engineers use charts where item values are plotted and compared with 3-standard-deviation bounds above and below the mean.
2% of the bolts manufactured by a company are defective, what is the probability that in a sample of 200 bolts 5 will be defective
the average price of homes sold in the u.s. in the past year was 220000. a random sample of 81 homes sold this year
a. Determine the least-squares regression line and inter- pret its slope. b. Estimate, for a year during which 500,000 boats are sold, the number of boat trailers that would be sold. c. What reasons might explain why the number of boat trailers so..
Suppose there are two samples of size 6 and 7, with a rank sum of 58 in the sample of size 6. Using the Wilcoxon rank-sum test, evaluate the significance of the results, assuming there are no ties.
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