In the United States, males between the ages of 40 and 49 eat on average 103.1 g of fat every day with a standard deviation of 4.32 g. Assume that the amount of fat a person eats is normally distributed. Round the probabilities to four decimal places. It is possible with rounding for a probability to be 0.0000.

a) State the random variable. rv X = the fat consumption of a randomly selected male in the US between the ages of 40 and 49 Correct

b) Find the probability that a randomly selected male in the US between the ages of 40 and 49 has a fat consumption of 98.04 g or grams or more.

c) Find the probability that a randomly selected male in the US between the ages of 40 and 49 has a fat consumption of 113.14 g or grams or less.

d) Find the probability that a randomly selected male in the US between the ages of 40 and 49 has a fat consumption between 98.04 and 113.14 g or grams.

e) Find the probability that randomly selected male in the US between the ages of 40 and 49 has a fat consumption that is at least 118.22 g or grams.

f) Is a fat consumption of 118.22 g or grams unusually high for a randomly selected male in the US between the ages of 40 and 49? Why or why not?

g) What fat consumption do 40% of all males in the US between the ages of 40 and 49 have less than? Round your answer to two decimal places in the first box. Put the correct units in the second box.

A researcher drew a random sample of 24 people seeking asylum in the United States and recorded whether they were granted amnesty ("yes" or "no"). The researcher also grouped them according to their gender ("male" or "female"). The results are below:

Granted General Amnesty

Enter this information into SPSS. Use this information to answer questions #4 - #7.

Question 4

Identify the null hypothesis and research (alternative) hypothesis.

Group of answer choices

Null Hypothesis

      [ Choose ]            There is no true relationship between gender and amnesty.            There is a true relationship between gender and amnesty.      

Research (Alternative) Hypothesis

      [ Choose ]            There is no true relationship between gender and amnesty.            There is a true relationship between gender and amnesty.      

Question 5

What is the value of chi-square?

Question 6

What is the associated probability?

Question 7

The researcher should retain the null hypothesis.

Group of answer choices

True

False

Hunger is defined as the _______ drive to eat.

The United States nutritional standards are know as:

The six essential nutrients are Carbohydrates, Protein, Fat, Vitamins, Minerals and what?

Nine amino acids must come from our food. These are called:

The easiest fats to control in our diets are:

Which of the following best describes the demographic situation in the United States?

Group of answer choices

A)The overall population is expected to decrease in the future, while the number of those older than 65 years is expected to increase.

B)The number of those older than 85 years is expected to exceed the number aged 65 and 85 years by 2040.

C)The number of those older than 65 years is expected to peak by 2040 and then gradually decline.

D)The proportion of the population older than 65 years is expected to increase from approximately 15% to 25% by 2030.

In this assignment, you will research and describe two antitrust laws in the United States. Some are described in the textbook, but you may find it to your advantage to research more beyond what you can see in the book .Or, perhaps you may want to research further the antitrust laws mentioned in the book. Additionally, you will discuss at least two controversies over antitrust policies. Include at least one case that you read about, textbook included, and describe why you believe the case was truly in violation of an antitrust law. Once again, outside research may help.

QUESTION 4   

Enrich Corporation is a battery manufacturing plant in the United States. The company confirmed that it was planning to open factories in Britain and Australia. Supposed the spot exchange rate for Australian dollar is A$1.42 = $1, while the British pound exchange rate is £1 = $1.30. The inflation rate in the United States will be 2.9 percent per year, Britain 3.5 percent and 4.5 percent in Australia. You as one of the finance department team need to analyse on the expected effect of inflation to exchange rate and the possibility of triangle arbitrage.

Required;

1. Discuss the political risk exposed to the Enrich Corporation if they decided to open new factory at overseas and what are some ways of hedging political risk.

2. Predict the exchange rate will be for Australian dollar in two years

3. Calculate the cross rate in terms of Australian dollar per pound.

4. Company has $10,000 and planning to use this money for investment in the exchange market. Supposed the cross rate is A$1.75 = £1. Is there an arbitrage opportunity here? If there is, explain how to take advantage of the mispricing.

Snow avalanches can be a real problem for travelers in the western United States and Canada. A very common type of avalanche is called the slab avalanche. These have been studied extensively by David McClung, a professor of civil engineering at the University of British Columbia. Suppose slab avalanches studied in a region of Canada had an average thickness of μ = 67 cm. The ski patrol at Vail, Colorado, is studying slab avalanches in its region. A random sample of avalanches in spring gave the following thicknesses (in cm). 59 51 76 38 65 54 49 62 68 55 64 67 63 74 65 79 (i) Use a calculator with sample mean and standard deviation keys to find x and s. (Round your answers to two decimal places.) x = cm s = cm (ii) Assume the slab thickness has an approximately normal distribution. Use a 1% level of significance to test the claim that the mean slab thickness in the Vail region is different from that in the region of Canada. (a) What is the level of significance? State the null and alternate hypotheses. H0: μ = 67; H1: μ > 67 H0: μ = 67; H1: μ < 67 H0: μ ≠ 67; H1: μ = 67 H0: μ = 67; H1: μ ≠ 67 H0: μ < 67; H1: μ = 67 (b) What sampling distribution will you use? Explain the rationale for your choice of sampling distribution. The Student's t, since we assume that x has a normal distribution and σ is known. The standard normal, since we assume that x has a normal distribution and σ is known. The Student's t, since we assume that x has a normal distribution and σ is unknown. The standard normal, since we assume that x has a normal distribution and σ is unknown. What is the value of the sample test statistic? (Round your answer to three decimal places.) (c) Estimate the P-value. P-value > 0.250 0.100 < P-value < 0.250 0.050 < P-value < 0.100 0.010 < P-value < 0.050 P-value < 0.010 Sketch the sampling distribution and show the area corresponding to the P-value. WebAssign Plot WebAssign Plot WebAssign Plot WebAssign Plot (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level α? At the α = 0.01 level, we reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we reject the null hypothesis and conclude the data are not statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are statistically significant. At the α = 0.01 level, we fail to reject the null hypothesis and conclude the data are not statistically significant. (e) Interpret your conclusion in the context of the application. There is sufficient evidence at the 0.01 level to conclude that the mean slab thickness in the Vail region is different from that in the region of Canada. There is insufficient evidence at the 0.01 level to conclude that the mean slab thickness in the Vail region is different from that in the region of Canada.

The mean cost of domestic airfares in the United States rose to an all-time high of $400 per ticket. Airfares were based on the total ticket value, which consisted of the price charged by the airlines plus any additional taxes and fees. Assume domestic airfares are normally distributed with a standard deviation of $115. Use Table 1 in Appendix B.

a. What is the probability that a domestic airfare is $560 or more (to 4 decimals)?

b. What is the probability that a domestic airfare is $245 or less (to 4 decimals)?

c. What if the probability that a domestic airfare is between $310 and $500 (to 4 decimals)?

d. What is the cost for the 5% highest domestic airfares? (rounded to nearest dollar)
$ or - Select your answer -morelessItem 5

A company in the United States, imports and exports equipment. The company uses a perpetual inventory system. During May the company entered into the following transactions. All rate quotations are direct exchange rates.

May 2 Purchased power tools from a wholesaler in Japan, on account, at an invoice cost of 1,600,000 yen. On this date the exchange rate for the yen was $.0072.

4 Sold hand tools on credit that were manufactured in the U.S. to a retail outlet located in West Germany. The invoice price was $2,800. The exchange rate for marks was $.5829.

8 Sold electric drills on account to a retailer in New Zealand. The invoice price was 16,800 U.S. dollars and the exchange rate for the New Zealand dollar was $.576. 10 Purchased drill bits on account from a manufacturer located in Belgium. The billing was for 801,282 francs. The exchange rate for francs was $.0312.

15 Paid 1,000,000 yen on account to the wholesaler for purchases made on May 2. The exchange rate on this date was $.0067.

17 Settled the accounts payable with the Belgium manufacturer. The exchange rate was $.0368.

21 Received full payment from the New Zealand retailer. The exchange rate was $.568.

29 Completed payment on the May 2 purchase. The exchange rate was $.0078.
(Show calculations)
Prepare journal entries on the books of the US Company to record the transactions listed above.

In the United States, the federal government pays for a considerably larger share of social welfare spending (i.e., spending on social insurance programs to help low-income, disabled, or elderly people) than it does for education spending for grades K–12. Similarly, state and local governments provide a larger share of education spending and a smaller share of welfare spending. Is this a coincidence, or can you think of a reason for why this might be so?