Consider US and China who can both produce soya beans and mobile phones. In a year, the US can produce 80 billion tonnes of soya beans or it can produce 400 million mobile phones. In a year, China can produce 50 billion tonnes of soya beans or it can produce 400 million mobile phones.

Question 1
a. Explain which country has the absolute advantage in soya beans production and

which country has the absolute advantage in mobile phone production?

Question 2

b. What is the US’ opportunity cost of producing 1 billion tonnes of soya beans? What is China’s opportunity cost of producing 1 billion tonnes of soya beans? Explain which country has the comparative advantage in soya beans production?

Question 3
c. Explain which country should specialise in soya beans production and which

country should specialise in mobile phone production?

Question 4

d. What is the maximum (in terms of tonnes of soya beans) that the US would be willing to pay for China’s mobile phones? What is the minimum (in terms of tonnes of soya beans) China would accept for its mobile phones? Will they trade and if so, which country benefits from the trade?

3 pages and   The essay must be, double-spaced, 12 point, with 1” margins,

Two factors that will affect you in the 21th century is computerization, and automation. Oxford University reported that nearly half the jobs in the U.S. will be affected by automation and computerization by 2020. And that will grow. It is now beginning to reach into professional and creative industries that long seemed immune, from law clerking to journalism. And the pace of change is accelerating. Combine this with "Moore's Law", and it leads to a troubling and disruptive future for the unprepared.
These developments illustrates a recurring theme in capitalism. As workers become more powerful and higher paid, the historic pressure on capitalism is to automate. In our society, we have always valued capital over labor. What will we do when automated vehicles take over the largest employer of white male Americans, the trucking industry? or checkout clerks from McDonalds, to Publix disappear. who will employ these obsoleted jobs.
So my question to you is, how will this affect you, and those who are not prepared for lifelong learning to succeed in the future. How does our economy handle a surplus of workers , from menial jobs to the profession you have chosen? If you can imagine a computer doing your job, it will...

1. The University is interested in determining if the number of people coming to work by pedal bicycle has changed from 2016 to 2017. Over the course of a week (Mon-Sun) they count the number of cyclists who enter campus at the North campus cycle path entrance between 8am-10am each day. The University have data from the same week in 2016. The counts for each day of the week for 2016 and 2017 are given in Table:

   	Mon	Tues	Wed	Thurs	Fri	Sat	Sun
   2016	243	175	255	187	241	53	32
   2017	254	242	250	263	235	51	35

   1. Describe one positive and one negative aspect of the University's sampling strategy
   2. Explain why a paired approach is appropriate for this test
   3. Write down appropriate null and alternative hypotheses for this test.
   4. Calculate the mean and variance of the differences di=xi-yi.
   5. What assumptions are required to conduct your hypothesis test from (c), does this data satisfy them?
   6. Using your answer to part (d), or otherwise, calculate a 90% confidence interval for the difference in the average number of cyclists.
   7. Using your answer to part (f), or otherwise, test your hypothesis from (c)  at the 10% level. You should clearly state the conclusion of your test.
   8. From Table 1 it looks like Tuesday and Thursday have the largest difference from one year to the next.  Why is it wrong to now testing the hypothesis  “2017 has more cyclists on Tuesdays and Thursdays than in 2016”?

Please explain part h) more details, thanks a lot.

Describe at least two types of individual and at least two types of organizational barriers to communication. Assuming that you were a manager who encountered each of these barriers, provide two or more examples of how you would overcome or remove these barriers. Support your response.

David Jensen is a foreign exchange trader with Citibank who has access to $2,000,000 US or the UK pound (GBP) equivalent. He notices the following US dollar (USD) and UK pound (GBP) foreign exchange and interest rate quotes:

Required:

1. In the context of interest rate parity, under what conditions would an interest rate arbitrage be possible?
2. Show the steps David would need to take to realise an uncovered interest rate arbitrage profit and calculate the profit?
3. Discuss how a covered interest arbitrage strategy is different to an uncovered interest arbitrage strategy?

Every 4 years, we come together as a nation to vote on who will represent us as a nation, who will lead the country in domestic and foreign affairs, who will hold the title of President of the United States of America. Research and read/view the election platform statements, winning nomination speech, and inaugural address of the current President of the United States. In this discussion board, compare these primary sources to the current domestic and foreign policy planning and decisions of the President. Are their correlations between plan and action to stated goals and promises? What challenges will the President face in accomplishing these goals and promises? What other situations arose throughout the election and beginning his term in office that led to possible changes to the original goals and promises.

R-Code

3. A rival music streaming company wishes to make inference for the proportion of individuals in the United States who subscribe to Spotify. They plan to take a survey. Let S1, . . . , Sn be the yet-to-be observed survey responses from n individuals, where the event Si = 1 corresponds to the ith individual subscribing to Spotify and the event Si = 0 corresponds to the ith individual does not subscribe to Spotify (i = 1, . . . , n). Assume that S1, . . . , Sn are i.i.d. Bernoulli(π).

a) What distribution does the random variable S = sum of Si from i = 1 to n have? Compute E(S) and var(S). The formulas should involve π and n.

(b) Suppose that n = 30 and π = 0.2. Run a Monte Carlo simulation with m = 10000 replications to verify the formulas for E(S) and var(S) from the previous question. That is, simulate 10000 i.i.d. copies of S and compare the observed average of these to the true mean, and the observed (sample) variance to the true variance. Comment.

(c) Let S¯ = S(n ^−1) = (n ^−1)*sum of Si from i=1 to n. What is the mean and variance of S¯?

(d) Verify your answers to the previous question by a Monte Carlo simulation with m = 10000 replications.

(e) Is S¯ a continuous random variable? Explain.

(f) Run a Monte Carlo simulation to estimate the probability P(S¯− 1/ √ n ≤ π ≤ S¯ + 1/ √ n) when π = 0.2 and n = 10, 20, 80, 160. Hint: For every n considered, do the following m = 10000 times: generate a random variable S˜ with the same distribution as S¯ and record whether |S˜−0.2| ≤ 1/ √ n. The Monte Carlo estimate of the desired probability is the number of times this happened divided by the total number of simulations, m = 10000.

) Consider a company that has two types of employees: people who take orders from customers (“order-takers”) and people who deliver the ordered products (“delivery people”). Suppose that the company obtains a new technology that allows it to use computers to automate many of the tasks that its order-takers are currently doing.

a. What effect would you expect this technology to have on the quantity of computers used by the company? Explain.

b. What effect would you expect this technology to have on the number of delivery people employed by the company? Explain.

c. What effect would you expect this technology to have on the number of order-takers employed by the company? Explain.

A pharmaceutical company has developed a drug to treat depression. To determine who best benefits from the drug, they tested it with multiple age groups. Ten participants with major symptoms of depression were recruited from each age group; all participants took the drug for 1 month. At the end of the month, depression was measured using a depression rating scale (1 = least depressed and 20 = most depressed). The group data follow. Is there a difference in depression symptoms? If so, which age group(s) seem(s) to benefit more from the drug? Children Young Adults Older Adults M1 = 18 M2 = 7.8 M3 = 6.8 ΣX2 = 4,524 n1 = 10 n2 = 10 n3 = 10 G = 326 T1 = 180 T2 = 78 T3 = 68 N = 30 SS1 = 24 SS2 = 93.6 SS3 = 95.6 k = 3 a. State your hypotheses and set criteria for rejection of the null (α=.05). b. Calculate the test statistic (show ALL work with appropriate notation - if long decimals are involved, maintain 3 decimals in your formulas). State whether or not you can reject the null. c. Organize your findings in an ANOVA table (round to 3 decimals) d. Calculate η2 . Round to 3 decimals if necessary. State whether the effect size is small, medium, or large. Ignore this one. e. If appropriate, conduct post-hoc tests using Tukey’s HSD. (q table: if two values are possible, choose the larger q value) f. Write a conclusion that summarizes what you’ve found. Be sure to mention the drug, age groups, depression symptoms, and the appropriate stats (round to 3 decimals). If you conducted post-hoc tests, summarize those results as well.