Flying over the western states with mountainous terrain in a small aircraft is 40% riskier than flying over similar distances in flatter portions of the nation, according to a General Accounting Office study completed in response to a congressional request. The accident rate for small aircraft in the 11 mountainous western states is 3.3 accidents per 100,000 flight operations. (a) Let r = number of accidents for a given number of operations. Explain why the Poisson distribution would be a good choice for the probability distribution of r. 1) Frequency of accidents is a common occurrence. It is reasonable to assume the events are dependent. 2) Frequency of accidents is a rare occurrence. It is reasonable to assume the events are dependent.    3) Frequency of accidents is a rare occurrence. It is reasonable to assume the events are independent. 4) Frequency of accidents is a common occurrence. It is reasonable to assume the events are independent. (b) Find the probability of no accidents in 100,000 flight operations. (Use 4 decimal places.)   (c) Find the probability of at least 6 accidents in 200,000 flight operations. (Use 4 decimal places.)

In order to compare the real estate markets in Pittsburgh and Philadelphia, a realtor selected a random sample of 150 homes in the Pittsburgh area and 100 homes in the Philadelphia area. Shown below are dotplots showing the distribution of home price for the homes in these two cities.

5.Stocks and Mutual Fund Ownership It has been found that   51.4% of U.S. households own stocks and mutual funds. A random sample of   300 heads of households indicated that 178 owned some type of stock. At what level of significance would you conclude that this was a significant difference? Use the   P-value method. Assume the variable normally distributed. Use a graphing calculator. Find the P-value. At what level of significance is this a significant difference?

The Wall Street Journal asked Concur Technologies, Inc., an expense management company, to examine data from 8.3 million expense reports to provide insights regarding business travel expenses. Their analysis of the data showed that New York was the most expensive city. The following table shows the average daily hotel room rate (*) and the average amount spent on entertainment (y) for a random sample of 9 of the 25 most-visited U.S. cities. These data lead to the estimated regression equation ŷ = 17.49 +1.0334x. For these data SSE = 1541.4. Click on the datafile logo to reference the data. Use Table 1 of Appendix B. DATA file City Boston Denver Nashville New Orleans Phoenix San Diego San Francisco San Jose Room Rate ($) 148 96 91 110 90 102 136 90 82 Tampa a. Predict the amount spent on entertainment for a particular city that has a daily room rate of $89 (to 2 decimals). $ Entertainment ($) 161 105 101 142 ***** b. Develop a 95% confidence interval for the mean amount spent on…