part A : Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years†. Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 35 arrests last month, 22 were of males aged 15 to 34 years. Use a 1% level of significance to test the claim that the population proportion of such arrests in Rock Springs is different from 70%.

What is the value of the sample test statistic? (Round your answer to two decimal places.)

Find the P-value of the test statistic. (Round your answer to four decimal places.)

part B: What is your favorite color? A large survey of countries, including the United States, China, Russia, France, Turkey, Kenya, and others, indicated that most people prefer the color blue. In fact, about 24% of the population claim blue as their favorite color.†Suppose a random sample of n = 52 college students were surveyed and r = 9 of them said that blue is their favorite color. Does this information imply that the color preference of all college students is different (either way) from that of the general population? Use α = 0.05.

What is the value of the sample test statistic? (Round your answer to two decimal places.)


(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)

Hello my dear students in less than one paragraph discuss if the stock market and individual stocks are more volatile today than in the past. Further discuss using the information from a study by campbell, lettau,malkiel and xu,2001. this study looked at 9000 firms from 1962-97.they decomposed the stock into market wide, industry-wide and firm specific volatility. they found that while there were periods of increase volatility, for exampleduring the oil crisis in the 1970s, average market volatility as mearsured by standard deviation has remained relatively stable over time-14% in the 1970s 16% in the 1980s and 11% in the 1990s. industry volatility has also remaind stable over time. Firm specific volatility, on the other hand , more doubled from 1962 to 1997 the period of the study. The most volatile stocks moved 25% in a single day. Firm specific volatility was 65% of total volatility in 1962 and 76% in 1997. Honorable students why is it that individual stocks can be more volatile , yet not the market as a whole.A university of Nevada study at the sam time found that 100 stocks were needed to achieve complete diversification. The university of Nevada study found that the mean culprits advocating too few stocks for diversification were textbooks,professional journals and the wall street journal(which has since printed a story about this study). some individuals choose to hold portfolios with a smaller number of stocks because it is difficult to research a large number of stocks. Why are individual stocks more volatile? Why do investors think the market as a whole is more volatile?

Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years.† Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 31 arrests last month, 25 were of males aged 15 to 34 years. Use a 1% level of significance to test the claim that the population proportion of such arrests is the city different from 70%. Solve the problem using both the traditional method and the P-value method. Since the sampling distribution of p̂ is the normal distribution, you can use critical values from the standard normal distribution as shown in the table of critical values of the z distribution. (Round the test statistic and the critical value to two decimal places. Round the P-value to four decimal places.)

test statistic =

critical value = ±

P-value =

State your conclusion in the context of the application.

-There is sufficient evidence at the 0.01 level to conclude that the true proportion of such arrests in the city differs from 70%.

-There is insufficient evidence at the 0.01 level to conclude that the true proportion of such arrests in the city differs from 70%.

Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same?

-We reject the null hypothesis using the traditional method, but fail to reject using the P-value method.

-We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.

-The conclusions obtained by using both methods are the same.

Plasmopara halstedii is a eukaryotic plant pathogen that infects sunflower, causing sunflower downy mildew. Sunflower has evolved genes that confer resistance to downy mildew, called Pl genes, and breeding to spread the disease-resistant phenotype is a major method for controlling the disease in sunflower crops. Breeding programs in France in the 1980s were initially effective at controlling downy mildew. However, by the 1990s and 2000s, populations of P. halstedii had overcome several of the resistance genes. Additionally, while only one pathotype of P. halstedii existed in France until 1988, twenty years later 14 pathotypes could be found throughout France.

Researchers collected DNA from 24 samples of P. halstedii isolated from infected sunflowers for population genetic analysis. They analyzed data from 12 genetic markers, including one called Pha43, which had two alleles, called R and r. The genotype data from Pha43are shown in the table below.

Data: Delmotte et al. (2008). Infection, Genetics and Evolution.

Using the observed genotype data, answer the following questions.

Based on the frequency of the R and the r alleles, what is the expected frequency of the Rr genotype in Hardy-Weinberg equilibrium?

What is the observed frequency of the RR genotype in the French P. halstedii population?

What is the observed frequency of the rr genotype in the French P. halstedii population?

What is the observed frequency of the Rr genotype in the French P. halstedii population?

Do these data indicate that the population is in Hardy-Weinberg equilibrium for the Pha43 marker?

Hello my dear students in less than one paragraph discuss if the stock market and individual stocks are more volatile today than in the past. Further discuss using the information from a study by campbell, lettau, malkiel and xu, 2001. this study looked at 9000 firms from 1962-97.they decomposed the stock into market wide, industry-wide and firm specific volatility. they found that while there were periods of increase volatility, for example during the oil crisis in the 1970s, average market volatility as measured by standard deviation has remained relatively stable over time-14% in the 1970s 16% in the 1980s and 11% in the 1990s. industry volatility has also remain stable over time. Firm specific volatility, on the other hand, more doubled from 1962 to 1997 the period of the study. The most volatile stocks moved 25% in a single day. Firm specific volatility was 65% of total volatility in 1962 and 76% in 1997. Honorable students why is it that individual stocks can be more volatile , yet not the market as a whole.A university of Nevada study at the sam time found that 100 stocks were needed to achieve complete diversification. The university of Nevada study found that the mean culprits advocating too few stocks for diversification were textbooks, professional journals and the wall street journal(which has since printed a story about this study), some individuals choose to hold portfolios with a smaller number of stocks because it is difficult to research a large number of stocks. Why are individual stocks more volatile? Why do investors think the market as a whole is more volatile?

I will be glad to get response as soon as possible. Thanks.

1. What are three characteristics of a Prime/Conventional/Truly Qualified, Primary Residential Real Estate Loan? In other words, what was required for these loans to qualify the correct way?

2. What is a Subprime Mortgage?

3. Give a scenario where someone wasn’t even in the market to buy a house, suddenly became a house owner. How did this happen?

4. Who was buying houses in the late 1990s through 2007? Give three examples.

5. What is a Predatory Loan?

6. What is CRA? Explain.

7. What is NINA? Explain.

8. What percent of Subprime loans were being approved via Automated Loan Approvals in 2007?

9. Explain Malignant Neglect.

10. What is TARP? Did every bank need it? What happened if a bank refused funds from this? Explain.

11. What is the earliest missed payment by some borrowers/homeowners?

12. Historically, banks required Verified Income. What is this, and what are two examples of it?

13. What is Stated Income? What did it lead to?

14. What is a Single Pay, Interest Only Loan? Give an example of scenario when this would be done? What purpose did it serve? Explain.

15. What kind of ratings were given on CDOs and MBSs from the Big Three rating agencies? What did these ratings indicate? Were they correct?

16. What happened to some of the largest United States investment banks during this time?

17. What happened to bank regulations after the housing fiasco?

18. What happened to the Stock Market immediately after the housing bust? What about a year later?

19. Would you agree with the following statement?: It was common for a single household to have as many as 14 credit cards in the early 2000s. Explain.

^{Case Study 2: Mr. Matthews (Indigenous Culture)}

^{Mr. Matthew speaks with pride when discussing the health accomplishments, he has attained recently, despite some significant barriers. In the late 1990s, Mr. Mathews was diagnosed with schizophrenia. Around that time, at the age of 27, Mathew also discovered he was diabetic. Though he has been divorced for almost five years, he and his wife have recently attempted to reconcile. His wife is suffering from depression and they have two daughters and live in public housing with the support of the government. Mr. Matthews has received education on diabetes, attended teachings on medications, alternative and mainstream therapies, and participated in medicine walks and healing circles. One medicine walk was particularly interesting to Mr. Matthews, as it involved the teachings on blue fir pine trees. Mr. Matthews has also attended cooking classes, where there were four dieticians who would give different information and websites regarding healthy eating and nutrition. Mr. Matthews felt that the inclusion of an Elder in his patient journey was an important aspect of health. Mr. Matthews is happy with his lifestyle changes and proud of where he has come to in his health journey. By turning around his life routine, he has managed to give up sweets, avoid certain fruits, quit smoking, and quit drinking.}

1. ^{What are 4 recommendations by the TRCC with respect to healthcare and Aboriginals?}
2. ^{What is the purpose of healing circles and why were they banned?}
3. ^{What is the benefit of mainstream and alternative therapies?}
4. ^{Why would the inclusion of an Elder be important?}

16. Which one of the following procedures would not be appropriate for the auditors when they observe client's physical inventory-taking?

A) Confirmation of goods in the hands of public warehouses.

B) Supervising the taking of the annual physical inventory.

C) Reviewing client’s inventory-taking plan.

D) Taking random samples to perform test counts.

17. A client's physical count of inventories was lower than the inventory quantities shown in its perpetual records (accounting records under the perpetual inventory system). This situation could be the result of the failure to record.

A) Sales.

B) Sales returns.

C) Purchases.

D) Purchase discounts.

18. In a manufacturing company, which one of the following audit procedures would give the least assurance of the cost of inventory at the audit date?

A) Testing the computation of allocated manufacturing overhead cost.

B) Examining paid vendors' invoices to determine direct material cost.

C) Reviewing direct labor rates and allocated direct labor costs.

D) Obtaining confirmation of inventories cost issued by client’s CEO and CFO.

19. An inventory turnover analysis (or days of inventory on hand analysis) is useful to the auditors of Dell and Compaq in late 1990s because it may detect:

A) Mistake in inventory quantity counting.

B) Superior inventory management techniques.

C) The optimum raw material automatic reorder points.

D) The existence of obsolete merchandise.

20. An auditor is most likely to make inquiries of production and sales personnel about possible obsolete or slow-moving inventory to support management's financial statement assertion of

A) Valuation or allocation.

B) Rights and obligations.

C) Existence or occurrence.

D) Cutoff.

Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years.† Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 34 arrests last month, 27 were of males aged 15 to 34 years. Use a 1% level of significance to test the claim that the population proportion of such arrests is the city different from 70%. Solve the problem using both the traditional method and the P-value method. Since the sampling distribution of p̂ is the normal distribution, you can use critical values from the standard normal distribution as shown in the table of critical values of the z distribution. (Round the test statistic and the critical value to two decimal places. Round the P-value to four decimal places.) test statistic = critical value = ± P-value = State your conclusion in the context of the application. There is sufficient evidence at the 0.01 level to conclude that the true proportion of such arrests in the city differs from 70%. There is insufficient evidence at the 0.01 level to conclude that the true proportion of such arrests in the city differs from 70%. Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same? We reject the null hypothesis using the P-value method, but fail to reject using the traditional method. We reject the null hypothesis using the traditional method, but fail to reject using the P-value method. The conclusions obtained by using both methods are the same.

Is the national crime rate really going down? Some sociologists say yes! They say that the reason for the decline in crime rates in the 1980s and 1990s is demographics. It seems that the population is aging, and older people commit fewer crimes. According to the FBI and the Justice Department, 70% of all arrests are of males aged 15 to 34 years.† Suppose you are a sociologist in Rock Springs, Wyoming, and a random sample of police files showed that of 31 arrests last month, 25 were of males aged 15 to 34 years. Use a 1% level of significance to test the claim that the population proportion of such arrests is the city different from 70%. Solve the problem using both the traditional method and the P-value method. Since the sampling distribution of p̂ is the normal distribution, you can use critical values from the standard normal distribution as shown in the table of critical values of the z distribution. (Round the test statistic and the critical value to two decimal places. Round the P-value to four decimal places.)

test statistic =

critical value = ±

P-value =

State your conclusion in the context of the application.

-There is sufficient evidence at the 0.01 level to conclude that the true proportion of such arrests in the city differs from 70%.

-There is insufficient evidence at the 0.01 level to conclude that the true proportion of such arrests in the city differs from 70%.

Compare your conclusion with the conclusion obtained by using the P-value method. Are they the same?

-We reject the null hypothesis using the traditional method, but fail to reject using the P-value method.

-We reject the null hypothesis using the P-value method, but fail to reject using the traditional method.

-The conclusions obtained by using both methods are the same.