In 2002 the Supreme Court ruled that schools could require random drug tests of students participating in competitive after-school activities such as athletics. Does drug testing reduce use of illegal drugs? A study compared two similar high schools in Oregon. Wahtonka High School tested athletes at random and Warrenton High School did not. In a confidential survey, 8 of 133 athletes at Wahtonka and 27 of 115 athletes at Warrenton said they were using drugs. Regard these athletes as SRSs from the populations of athletes at similar schools with and without drug testing.

(a) You should not use the large-sample confidence interval. Why not?
Choose a reason.The sample sizes are too small.The sample sizes are not identical.The sample proportions are too small.At least one sample has too few failures.At least one sample has too few successes.

(b) The plus four method adds two observations, a success and a failure, to each sample. What are the sample sizes and the numbers of drug users after you do this?

Wahtonka sample size:     Wahtonka drug users:
Warrenton sample size:     Warrenton drug users:

(c) Give the plus four 99.5% confidence interval for the difference between the proportion of athletes using drugs at schools with and without testing.
Interval: to

please show your work and what function to use on the calculator if any. Thank you!

In 2002 the Supreme Court ruled that schools could require random drug tests of students participating in competitive after-school activities such as athletics. Does drug testing reduce use of illegal drugs? A study compared two similar high schools in Oregon. Wahtonka High School tested athletes at random and Warrenton High School did not. In a confidential survey, 5 of 140 athletes at Wahtonka and 25 of 102 athletes at Warrenton said they were using drugs. Regard these athletes as SRSs from the populations of athletes at similar schools with and without drug testing.

(a) You should not use the large-sample confidence interval. Why not?
Choose a reason. The sample sizes are too small. The sample sizes are not identical. The sample proportions are too small. At least one sample has too few failures. At least one sample has too few successes.

(b) The plus four method adds two observations, a success and a failure, to each sample. What are the sample sizes and the numbers of drug users after you do this?

Wahtonka sample size:      Wahtonka drug users:  
Warrenton sample size:      Warrenton drug users:

(c) Give the plus four 95% confidence interval for the difference between the proportion of athletes using drugs at schools with and without testing.
Interval: to

Using the financial statements for HealthSouth Corp for the quarter ending 6/30/2002, or use the current financial statements for either Microsoft or Facebook. Choose your primary ratio and post your analysis.

2 Calculate several ratios—I would suggest at least one from each of the categories (profitability, liquidity, solvency, and activity/efficiency) from chapter 4 (chapter 11 in Marshall) in the text plus at least one ratio that you have found somewhere else or even made up. You should examine these ratios over a 4 year period (No need to look at every quarter). For example you might look at quarter 2 every year for 4 years—including the quarter that I have chosen. Once you are used to looking up financial statements--if you do this strategically you should be able to examine 4 years of data by looking at only two separate years of financial statements.   Please do not discuss all of these ratios. Your goal in calculating a number of ratios is to increase your chances of finding a ratio that is interesting and important.  

On September​ 11, 2002, a particular state​ lottery's daily number came up 9 - 1 - 1. Assume that no more than one digit is used to represent the first nine months.

​a) What is the probability that the winning three numbers match the date on any given​ day?​

b) What is the probability that a whole year passes without this​ happening? ​

c) What is the probability that the date and winning lottery number match at least once during any​ year? ​

d) If 27 states have a​ three-digit lottery, what is the probability that at least one of them will come up 3 - 1 - 0 on March 10​?

An article in Electronic Packaging and Production (2002, vol. 42) considered the effect of X-ray inspection of integrated circuits. The radiation dose (rads) were studied as a function of current (in milliamps) and exposure (in minutes).The data are in excel file uploaded to Moodle. Name of the file is “Assignment 4 Data”. Use a software (preferable MINITAB) to answer the following questions

Part 2. Now, add current to the model and perform multiple regression analysis. (Include the output in your pdf file.)

a) Write the fitted model.

b) Is the model overall significant? Test at significance level of 5%.

c) Is current a significant variable for the model? Test at α=0.05.

d) Use the model to estimate mean radiation dose when the current is 25 mA and exposure time is 30 seconds.

e) Do you observe an improvement in coefficient of determination? Explain

***Assume that you have data of radiation dose, exposure time and mA for 40 samples. Can you solve the problem above using minitab amd show the steps please?

An article in Electronic Packaging and Production (2002, vol. 42) considered the effect of X-ray inspection of integrated circuits. The radiation dose (rads) were studied as a function of current (in milliamps) and exposure (in minutes).The data arein excel file uploaded to Moodle. Name of the file is “Assignment 4 Data”. Use a software (preferable MINITAB) to answer the following questions.

Part 1. Perform simple linear regression analysis with the variables, radiation dose and exposure time to answer the following questions. (Include the output in your pdf file.)

1. a) Determine response variable and find the fitted line. (Estimated regression line)

2. b) Predict the radiation dose when exposure time is 15 seconds.

3. c) Estimate the standard deviation of radiation dose.

4. d) What percentage of variability in radiation dose can be explained by the

   exposure time?

5. e) Obtain 95% CI for the true slope of regression line.

*****Can you solve the problem above using Minitab and show the steps please?

Slot machines are the favorite game at casinos throughout the United States (Harrah’s Survey 2002: Profile of the American Gambler). A local casino wants to estimate the difference in the percent of women and me who prefer the slots with a 95% level of confidence. Random samples of 320 women and 250 men found that 256 women prefer slots and 165 men prefer slots.

1-

-Hypothesis test for one population mean (unknown population standard deviation)

2-Confidence interval estimate for one population mean (unknown population standard deviation)

3-Hypothesis test for population mean from paired differences

4-Confidence interval estimate for population mean from paired differences

5-Hypothesis test for difference in population means from two independent samples

6-Confidence interval estimate for difference in population means from two independent samples

7-Hypothesis test for one population proportion

8-Confidence interval estimate for one population proportion

9-Hypothesis test for difference between two population proportions

10-Confidence interval estimate for difference between two population proportions

The National Endowment for the Humanities sponsors summer institutes to improve the skills of high school language teachers. One institute hosted 20 French teachers for four weeks. At the beginning of the period, the teachers took the Modern Language Association's listening test of understanding of spoken French. After four weeks of immersion in French in and out of class, they took the listening test again. (The actual spoken French in the two tests was different, so that simply taking the first test should not improve the score on the second test.) The Director of the summer institute would like to estimate the change (and hopeful improvement) in the teachers' skills after participating in the class.

1-

-Hypothesis test for one population mean (unknown population standard deviation)

2-Confidence interval estimate for one population mean (unknown population standard deviation)

3-Hypothesis test for population mean from paired differences

4-Confidence interval estimate for population mean from paired differences

5-Hypothesis test for difference in population means from two independent samples

6-Confidence interval estimate for difference in population means from two independent samples

7-Hypothesis test for one population proportion

8-Confidence interval estimate for one population proportion

9-Hypothesis test for difference between two population proportions

10-Confidence interval estimate for difference between two population proportions

Boca Electronics, a manufacturer of semiconductor components,was established in Houston, Texas, in 2002 afterspinning off from its parent company. Originally a branch of Vissay Inc.,Boca Electronics had a solid customer base and strong sales with some major firms such as IBM, Compaq, and Motorola. Semiconductors included a wide array of products
that were broken down according to their application and material. Some of their main products include microprocessors, light-emitting diodes (LEDs), rectifiers, and suppressors. Boca
Electronics operated on a mainframe system that it inherited from its parent company and used additional stand-alone systems to perform many of its other business functions. For
the last four years the company had performed well financially, so little concern had been given to the business operations. However, recent slowdowns in the economy and an increase
in competition in the semiconductor industry had forced Boca Electronics to take another look at the way it operated its business.

Ron Butler, the purchasing manager at Boca Electronics, was responsible for ordering raw materials and ensuring that their delivery was on time and met production requirements.
Ron used his own forecasting software to determine purchasing needs based on past sales. Although this worked most ofthe time, Ron often found himself scrambling to meet large customer orders at the last minute and was forced to expedite a lot of orders to meet the production needs. Ron felt this was due largely to the lack of communication between his department and the sales force. Although he received production forecasts and projected sales from the sales department, it occurred on an irregular basis, and the forecasts would often change by the time he had placed orders to the suppliers. In addition, Ron had a difficult time synchronizing with suppliers and determining factors such as lead times and product prices. He had previously recommended a new software system that would integrate with suppliers of key components but the proposal was turned down by senior management due to a “current lack of need for such an investment.” Boca Electronics also faced issues regarding its cash flows. It took several weeks for the accounting department to process invoices and usually had to e-mail back and forth with the sales manager to make multiple corrections. Because both departments used different systems to manage customer accounts, some of the data was redundant and inaccurate (customer accounts would be updated in the sales department, but not in accounting). Although this issue went largely unnoticed during thriving periods, the recent slowdown in the economy revealed potential repercussions of the current business operations, as Boca Electronics began to run short on its cash flows.

In the last month, one of Boca Electronics’ largest customers began requiring all its suppliers to integrate their manufacturing operations to improve the sharing of information and
further improve its supply chain. This company had recently implemented an ERP system from a major provider and was encouraging its suppliers to do the same. Suppliers had the
option of implementing middleware software to integrate operations. Whether suppliers chose to keep their current systems and implement middleware, or implement an ERP system that would integrate with the company, they had one year to make the changes to continue doing business with this customer.

Paul Andrews, the CIO at Boca Electronics, was well aware of the issues facing the company. He knew that something had to be done to improve communication and information sharing within the company, and the current mainframe system was outdated and inefficient. He was also aware of the constraints that Ron was facing in Purchasing and how much it was costing the company. With the new request from one of its largest customers for further integration, the idea of implementing an ERP system for Boca Electronics seemed like a viable solution to Paul. However, recent economic downturns and a limited amount of capital made such a large capital outlay a risky investment for the company.

Determine the trade-offs of implementing an ERP system
in the company versus buying best-of-breed software and
using middleware to integrate.

What are the potential impacts of such an implementation
on the company’s suppliers and customers?

If the company chose to stay with the system it currently
has, what are some potential consequences that can occur
in the future?

Based on the business nature of the company, the industry,
and the current environment, what would you recommend
doing?

In the book Analysis of Longitudinal Data, 2nd ed., (2002, Oxford University Press), by Diggle, Heagerty, Liang,and Zeger, the authors analyzed the effects of three diets on the protein content of cow’s milk. The data shown here were collected after one week and include 25 cows on the barley diet and 27 cows each on the other two diets:

(a) What is the value of LSD for Barley+Lupins diet and Lupins diet? Use α=0.05.
Round your answer to three decimal places (e.g. 98.765).

(c) What is the absolute value of difference between mean protein content after Barley+Lupins diet and Lupins diet?
Round your answer to three decimal places (e.g. 98.765).

(d) Estimate the standard error for comparing the means using the graphical method. Use minimum sample size.
Round your answer to three decimal places (e.g. 98.765).

0981283248l.e

1.Kenia is a small economy somewhere in the Aka Way. The information given in Table 5 is from a recent issue of the Kenia Economic ObserverThere are only 3 goods produced in Kenia.The table below shows the prices and quantities produced of these goods in 2007, 2008, and 2009 as well as other related data. 2008 is the base year for this economy.

a)      Calculate:

(i) The unemployment rate in 2008. Show the formula and workings.(3.5 marks)

(ii) The labor force participation rate in 2009. Show the formula and workings.(2.5 marks)

(iii) GDP deflator 2008. Show the formula and workings.(4.5 marks)

(iv) GDP deflator 2009. Show the formula and workings.          (4.5 marks)

(v) the inflation rate in 2009. Show the formula and workings. (1.5 marks)

Suppose that in a simple economy, only two types of products are produced: computers and automobiles. Sales and price data for these two products for three different years are as shown below:

a)Assuming that all computers and automobiles are final goods, calculate nominal GDP in 2013, 2014 and 2015.    (4.5 marks)

Nominal GDP in 2003:

Nominal GDP in 2004:

Nominal GDP in 2005

b)Calculate real GDP in 2004 and 2005 year using 2003 as the base year. Show the formula.

Thanks for the help really appreciated it Expert!