Do Prob. 1 with the last two constraints interchanged.
a. Find the mean and standard deviation of x for a binomial probability distribution with n = 16 and p = 0.5 ,b. Use a computer to construct the probability distribution and histogram for the binomial probability experiment with n _ 16 and p _ 0.5. ,c. Use a computer to randomly generate 200 samples of size 25 from a binomial probability distribution with n _ 16 and p _ 0.5. Calculate the mean of each sample. ,d. Construct a histogram and find the mean and standard deviation of the 200 sample means. ,e. Compare the probability distribution of x found in part b and the frequency distribution of in part d. Does your information support the CLT? Explain.
a. Find a value for e such that 95% of the apples in Exercise 7. 50 are within e units of the mean, 2.63. That is, find e such that,b. Find a value for E such that 95% of the samples of 100 apples taken from the orchard in Exercise 7. 50 will have mean values within E units of the mean, 2.63.That is, find E such that.
a. Describe the distribution of x, height of male college students. ,b. Find the proportion of male college students whose height is greater than 70 inches. ,c. Describe the distribution of , the mean of samples of size 16. ,d. Find the mean and standard error of the distribution.
a. Click “1” for “# Samples.” Note the four data values and their mean. Change “slow” to “batch” and take at least 1000 samples using the “500” for “# Samples.” ,b. What is the mean for the 1001 sample means? How close is it to the population mean, m? ,d. Does the histogram of sample means have an approximately normal shape?
A Statistics professor has observed that for several years students score an average of 105 points out of 150 on the semester exam. A salesman suggests that he try a statistics software package that gets students more involved with computers, predicting that it will increase students’ scores. The software is expensive, and the salesman offers to let the professor use it for a semester to see if the scores on the final exam increase significantly. The professor will have to pay for the software only if he chooses to continue using it. ,a) Is this a one- tailed or two- tailed test? Explain. ,b) Write the null and alternative hypotheses. ,c) In this context, explain what would happen if the professor makes a Type I error. ,d) In this context, explain what would happen if the professor makes a Type II error.,e) What is meant by the power of this test?
a. Use a computer to draw 200 random samples, each of size 10, from the normal probability distribution with mean 100 and standard deviation 20. ,b. Find the mean for each sample. ,c. Construct a frequency histogram of the 200 sample means. ,d. Describe the sampling distribution shown in the histogram in part c.
A specialist in the Human Resources department of a national hotel chain is looking for ways to improve retention among hotel staff. The problem is particularly acute among those who maintain rooms, work in the hotel restaurant, and greet guests. Within this chain, among those who greet and register guests at the front desk, the annual percentage who quit is 36% (see the accompanying bar chart for more information).17 Among the employees who work the front desk, more than half are expected to quit during the next year. The specialist in HR has estimated that the turnover rate costs $20,000 per quitter, with the cost attributed to factors such as,? The time a supervisor spends to orient and train a new employee,? The effort to recruit and interview replacement workers,? The loss of efficiencies with a new employee rather than one who is more experienced and takes less time to complete tasks,? Administrative time both to add the new employee to the payroll and to remove the prior employee,To increase retention by lowering the quit rate, the specialist has formulated a benefits program targeted at employees who staff the front desk. The cost of offering these benefits averages $2,000 per employee. The chain operates 225 hotels, each with 16 front-desk employees. As a test, the specialist has proposed extending improved benefits to 320 employees who work the front desk in 20 hotels.,Motivation,(a) Why would it be important to test the effect of the employee benefits program before offering it to all front-desk employees at the hotel chain?,(b) If the benefits program is to be tested, how would you recommend choosing the hotels? How long will the test take to run? (There is no best answer to this question; do your best to articulate the relevant issues.),Method,(c) An analyst proposed testing the null hypothesis H0 : p ? 0.36, where p is the annual quit rate for employees who work the main desk if the new program is implemented. Explain why this is not the right null hypothesis.,(d) Another analyst proposed the null hypothesis H0: p ? 0.36. While better than the choice in part,(c), what key issue does this choice of H0 ignore? What is needed in order to improve this null hypothesis?,Mechanics,(e) If the chosen null hypothesis is H0: p ? 0.30, what percentage of these 320 must stay on (not quit) in order to reject H0 if ? = 0.05?,(f) Assume the chosen null hypothesis is H0: p ? 0.30. Suppose that the actual quit rate among employees who receive these new benefits is 25%. What is the chance that the test of H0 will correctly reject H0?,Message,(g) Do you think that the owners of this hotel chain should run the test of the proposed benefits plan? Explain your conclusion without using technical language.
The purpose of this exercise is to learn how to calculate stock returns for portfolio models using actual stock price data. First, it is necessary to obtain stock price data. One source (of many) is Yahoo! Go to the link http://finance.yahoo.com and type in a ticker symbol such as AAPL (for Apple Computer). Then, on the left-hand side of the page, select Historical Data. ,These data are easily downloaded to a spreadsheet by clicking on the link “Download to Spreadsheet” at the bottom of the page. For Apple Computer (AAPL), Advanced Micro Devices (AMD), and Oracle Corporation (ORCL), download the monthly price data for January 1997 through January 2006. These data contain closing prices that are adjusted for stock dividends and splits.,You now have stock prices for 10 years, and the objective is to calculate the annual returns for each stock for the years 1997 through 2005. Returns are often calculated using continuous compounding. If the stock prices are adjusted for splits and stock dividends, then the price of stock i in period t + 1, Pi,t +1, is given by,pi,t+1 = pt erit, Where pi, t is the price of stock i in period t and rit is the return on stock i in period t. This calculation assumes no cash dividends were paid, which is true of Apple Computer, Advanced Micro Devices, and Oracle Corporation. Solving the equation pi,t+1 = pt erit for the return on stock i in period t gives ,rit = ln (pi,t+1/pt),For example, the Apple Computer adjusted closing price in January 2005 was 38.45. The closing price in January 2006 was 75.51. Thus, the continuously compounded return for Apple Computer from January 2005 to January 2006 is,ln(75.51/38.45) = 0.6749064,We use this calculation as our estimate of the annual return for Apple Computer for the year 2005. ,Take the closing stock prices that you have downloaded and calculate the annual returns for 1997 through 2005 for AAPL, AMD, and ORCL using rit = ln (pi,t+1/pt). If you calculate the returns properly, your results should appear as in Figure.,FIGURE ,YEARLY RETURNS FOR AAPL, AMD, ANDORCL