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?
(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 . thank you !
In: Statistics and Probability
The 2002 SOX Act required integrated audits for all public companies with immediate implementation by larger accelerated-filers. The 2010 Dodd-Frank Act modified section 404 of the SOX Act to exempt certain smaller companies (non-accelerated-filers) from having external audits of their ICFR.
Given the importance and function of internal controls and known fraudulent activities, do you agree with this modification that eliminated the need for these smaller public companies from having auditor’s express an opinion on their ICFR? Explain your answer.
Though recommended, there is no requirement for private and not-for-profit companies to have external auditors audit their ICFR. Explain whether you feel these organizations should have their ICFR audited by external auditors.
In: Accounting
The 2002 SOX Act required integrated audits for all public companies with immediate implementation by larger accelerated-filers. The 2010 Dodd-Frank Act modified section 404 of the SOX Act to exempt certain smaller companies (non-accelerated-filers) from having external audits of their ICFR.
Given the importance and function of internal controls and known fraudulent activities, do you agree with this modification that eliminated the need for these smaller public companies from having auditor’s express an opinion on their ICFR? Explain your answer.
Though recommended, there is no requirement for private and not-for-profit companies to have external auditors audit their ICFR. Explain whether you feel these organizations should have their ICFR audited by external auditors.
In: Accounting
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: Statistics and Probability
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
In: Statistics and Probability
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.
|
INCOME STATEMENTS - USD ($) |
3 Months Ended | 6 Months Ended | ||
|---|---|---|---|---|
| Dec. 31, 2017 | Dec. 31, 2016 | Dec. 31, 2017 | Dec. 31, 2016 | |
| Revenue | ||||
| Product | $ 17,926 | $ 18,273 | $ 32,224 | $ 33,241 |
| Service and other | 10,992 | 7,553 | 21,232 | 14,513 |
| Total revenue | 28,918 | 25,826 | 53,456 | 47,754 |
| Cost of revenue | ||||
| Product | 5,498 | 5,378 | 8,478 | 8,959 |
| Service and other | 5,566 | 4,523 | 10,864 | 8,786 |
| Total cost of revenue | 11,064 | 9,901 | 19,342 | 17,745 |
| Gross margin | 17,854 | 15,925 | 34,114 | 30,009 |
| Research and development | 3,504 | 3,062 | 7,078 | 6,168 |
| Sales and marketing | 4,562 | 4,079 | 8,374 | 7,297 |
| General and administrative | 1,109 | 879 | 2,275 | 1,924 |
| Operating income | 8,679 | 7,905 | 16,387 | 14,620 |
| Other income, net | 490 | 117 | 766 | 229 |
| Income before income taxes | 9,169 | 8,022 | 17,153 | 14,849 |
| Provision for income taxes | 15,471 | 1,755 | 16,879 | 2,915 |
| Net income (loss) | $ (6,302) | $ 6,267 | $ 274 | $ 11,934 |
| Earnings (loss) per share: | ||||
| Basic | $ (0.82) | $ 0.81 | $ 0.04 | $ 1.54 |
| Diluted | $ (0.82) | $ 0.80 | $ 0.04 | $ 1.52 |
| Weighted average shares outstanding: | ||||
| Basic | 7,710 | 7,755 | 7,709 | 7,772 |
| Diluted | 7,710 | 7,830 | 7,799 | 7,853 |
| Cash dividends declared per common share | $ 0.42 | $ 0.39 | $ 0.84 | $ 0.78 |
|
BALANCE SHEETS - USD ($) |
Dec. 31, 2017 | Jun. 30, 2017 |
|---|---|---|
| Current assets: | ||
| Cash and cash equivalents | $ 12,859 | $ 7,663 |
| Short-term investments (including securities loaned of $4,247 and $3,694) | 129,921 | 125,318 |
| Total cash, cash equivalents, and short-term investments | 142,780 | 132,981 |
| Accounts receivable, net of allowance for doubtful accounts of $337 and $345 | 18,428 | 22,431 |
| Inventories | 2,003 | 2,181 |
| Other | 4,422 | 5,103 |
| Total current assets | 167,633 | 162,696 |
| Property and equipment, net of accumulated depreciation of $26,849 and $24,179 | 26,304 | 23,734 |
| Operating lease right-of-use assets | 6,749 | 6,555 |
| Equity and other investments | 3,961 | 6,023 |
| Goodwill | 35,355 | 35,122 |
| Intangible assets, net | 9,034 | 10,106 |
| Other long-term assets | 6,967 | 6,076 |
| Total assets | 256,003 | 250,312 |
| Current liabilities: | ||
| Accounts payable | 7,850 | 7,390 |
| Short-term debt | 12,466 | 9,072 |
| Current portion of long-term debt | 3,446 | 1,049 |
| Accrued compensation | 4,427 | 5,819 |
| Short-term income taxes | 788 | 718 |
| Short-term unearned revenue | 21,309 | 24,013 |
| Securities lending payable | 26 | 97 |
| Other | 7,787 | 7,587 |
| Total current liabilities | 58,099 | 55,745 |
| Long-term debt | 73,348 | 76,073 |
| Long-term income taxes | 30,050 | 13,485 |
| Long-term unearned revenue | 2,500 | 2,643 |
| Deferred income taxes | 3,186 | 5,734 |
| Operating lease liabilities | 5,640 | 5,372 |
| Other long-term liabilities | 4,820 | 3,549 |
| Total liabilities | 177,643 | 162,601 |
| Commitments and contingencies | ||
| Stockholders’ equity: | ||
| Common stock and paid-in capital – shares authorized 24,000; outstanding 7,705 and 7,708 | 70,192 | 69,315 |
| Retained earnings | 8,567 | 17,769 |
| Accumulated other comprehensive income (loss) | (399) | 627 |
| Total stockholders’ equity | 78,360 | 87,711 |
| Total liabilities and stockholders' equity | $ 256,003 | $ 250,312 |
In: Accounting
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?
In: Statistics and Probability
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?
| Rads | mA | Exposure Time |
| 7,4 | 10 | 0,25 |
| 14,8 | 10 | 0,5 |
| 29,6 | 10 | 1 |
| 59,2 | 10 | 2 |
| 88,8 | 10 | 3 |
| 296 | 10 | 10 |
| 444 | 10 | 15 |
| 592 | 10 | 20 |
| 11,1 | 15 | 0,25 |
| 22,2 | 15 | 0,5 |
| 44,4 | 15 | 1 |
| 88,8 | 15 | 2 |
| 133,2 | 15 | 3 |
| 444 | 15 | 10 |
| 666 | 15 | 15 |
| 888 | 15 | 20 |
| 14,8 | 20 | 0,25 |
| 29,6 | 20 | 0,5 |
| 59,2 | 20 | 1 |
| 118,4 | 20 | 2 |
| 177,6 | 20 | 3 |
| 592 | 20 | 10 |
| 888 | 20 | 15 |
| 1184 | 20 | 20 |
| 22,2 | 30 | 0,25 |
| 44,4 | 30 | 0,5 |
| 88,8 | 30 | 1 |
| 177,6 | 30 | 2 |
| 266,4 | 30 | 3 |
| 888 | 30 | 10 |
| 1332 | 30 | 15 |
| 1776 | 30 | 20 |
| 29,6 | 40 | 0,25 |
| 59,2 | 40 | 0,5 |
| 118,4 | 40 | 1 |
| 236,8 | 40 | 2 |
| 355,2 | 40 | 3 |
| 1184 | 40 | 10 |
| 1776 | 40 | 15 |
| 2368 | 40 | 20 |
In: Statistics and Probability
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.)
a) Determine response variable and find the fitted line. (Estimated regression line)
b) Predict the radiation dose when exposure time is 15 seconds.
c) Estimate the standard deviation of radiation dose.
d) What percentage of variability in radiation dose can be explained by the
exposure time?
e) Obtain 95% CI for the true slope of regression line.
*****Can you solve the problem above using Minitab and show the steps please?
| X-ray | Inspection | Data | |
| Rads | mA | Exposure Time | |
| 7,4 | 10 | 0,25 | |
| 14,8 | 10 | 0,5 | |
| 29,6 | 10 | 1 | |
| 59,2 | 10 | 2 | |
| 88,8 | 10 | 3 | |
| 296 | 10 | 10 | |
| 444 | 10 | 15 | |
| 592 | 10 | 20 | |
| 11,1 | 15 | 0,25 | |
| 22,2 | 15 | 0,5 | |
| 44,4 | 15 | 1 | |
| 88,8 | 15 | 2 | |
| 133,2 | 15 | 3 | |
| 444 | 15 | 10 | |
| 666 | 15 | 15 | |
| 888 | 15 | 20 | |
| 14,8 | 20 | 0,25 | |
| 29,6 | 20 | 0,5 | |
| 59,2 | 20 | 1 | |
| 118,4 | 20 | 2 | |
| 177,6 | 20 | 3 | |
| 592 | 20 | 10 | |
| 888 | 20 | 15 | |
| 1184 | 20 | 20 | |
| 22,2 | 30 | 0,25 | |
| 44,4 | 30 | 0,5 | |
| 88,8 | 30 | 1 | |
| 177,6 | 30 | 2 | |
| 266,4 | 30 | 3 | |
| 888 | 30 | 10 | |
| 1332 | 30 | 15 | |
| 1776 | 30 | 20 | |
| 29,6 | 40 | 0,25 | |
| 59,2 | 40 | 0,5 | |
| 118,4 | 40 | 1 | |
| 236,8 | 40 | 2 | |
| 355,2 | 40 | 3 | |
| 1184 | 40 | 10 | |
| 1776 | 40 | 15 | |
| 2368 | 40 | 20 | |
In: Statistics and Probability
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
In: Statistics and Probability