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A consulting firm has to make a decision concerning bidding on a major project that has a projected profit for the firm of $100,000. Engineers for the firm estimate that they have about a 20% chance of receiving the contract if all the work on the proposed bid is done in-house. An outside consultant could be hired to help prepare the bid, which would increase the probability of success in being awarded the contract to about 50%. The outside consultant would cost $20,000. Using a decision tree, determine what action the firm should take.
When finding percentiles, if locator L is not whole number, one procedure is to interpolate so that locator of 23.75, for instance.
Suppose we are testing if the true mean amount of gas sold on a day is less than 900 gallons, at a 5% level of significance, the value of z* would be?
The Investment Research Institute reported in its Mutual Fund Fact Book that the number of mutual funds increased from 5725 in 1999 to 7977 in 2009. What is the geometric mean annual percent increase in the number of funds?
if i have been approved for a $70,000 loan toward the purchase of a new home at 12% interest. The mortgage is for 30 years. How much are the approximately annual payments of the loan? Hint: Assume you pay yearly.
A population consists of the following four values: 8, 10, 12, and 16. From this population, there are 6 different samples of size 2. The means of the 6 samples of size 2 are: 9, 10, 12, 11, 13, and 14. Compute the mean of the distribution of the ..
Determine whether the evidence is enough to reject the salesperson's claim. Establish the Null and alternative hypothesis, and choose the right test statistics.
A biased coin with probability of head being .6 is tossed 12 times. What is the probability that number of head would more than 4 but less than or equal to 10.
Determining the strength of a correlation is very important to determine how well one variable can predict another. To determine the strength of a correlation, we have to calculate the correlation coefficient, r.
Compute a 90 percent confidence interval for the difference among the two population proportions. The CEO of the company would like to find out if Canadians.
Using the 0.05 level of significance, is there evidence that the population mean is above $300? What is your answer in (a) if s = $90 and the 0.10 level of significance is used?
Give an example of a hypothesis test you could perform at work or at home. State what the Null and the Alternative hypotheses would be in your test.
Given that the average monthly amount charged is uniformly distributed, what percent of monthly charges are between $100 and $1100?
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