Please explain if you agree or disagree...

Some of the main challenges posed by the growing use of medical technology in the United States are protecting medical information entrusted to medical facilities from hackers while at the same time making this same information available to clinicians. Consider all the testing done that could be avoided if prior studies were available.

American cultural beliefs and values influenced the use of medical technology by making unrestrained pursuit of high-tech procedures. Moreover, more procedures are performed in the United than most other industrialized countries (Ibid, 115). Eventually, in my opinion medical rationing will be a necessity.

What idiosyncratic factors make each of the countries below more vulnerable or less vulnerable to currency and inflation volatility? Factors you might choose from to focus on include each country’s: composition of GDP, historic GDP growth, currency peg, government stability, the real interest rate, money supply growth, ability to print money, drivers of foreign investment and the rule of law, inflation history, and debt to GDP.

• Brazil:

o Currency

o Inflation

• Hong Kong:

o Currency

o Inflation

• United Arab Emirates:

o Currency

o Inflation

• United States:

o Currency

o Inflation

Question 1

1. How important do you think that the credit unions are to the financial system?
2. Do you think that credit unions should be subject to the same regulations as commercial banks?

Question 2

Discuss the operation of wholesale and retail cooperatives. Provide examples where necessary.

Question 3

Asses the role and functions of the various regulatory bodies in relation securities regulation in the United States, United Kingdom, and Canada and compare to those in the Caribbean.                  

Question 4

Give an assessment of the work of The International Organization of Securities Commissions.   

Question 5

Discuss the role of the Caribbean Financial Action Task Force (CFATF) in regional financial crime fighting.

Political polling relies heavily on sampling techniques, which allow us to make inferences about an entire population based on only a portion of the population. However, the "Brexit" referendum in the United Kingdom and several elections in the United States since 2016 have called into question the accuracy of much political polling

1. What explains the inaccuracy of many pre-election polling data since 2016? Provide specific case examples.

2. What statistical techniques could be used to improve the accuracy of polling?

3. Has the value of political polling diminished? What is your personal perception of political polling?

In an article in the Journal of Advertising, Weinberger and Spotts compare the use of humor in television ads in the United States and in the United Kingdom. Suppose that independent random samples of television ads are taken in the two countries. A random sample of 400 television ads in the United Kingdom reveals that 142 use humor, while a random sample of 500 television ads in the United States reveals that 126 use humor.

(a) Set up the null and alternative hypotheses needed to determine whether the proportion of ads using humor in the United Kingdom differs from the proportion of ads using humor in the United States.

H₀: p₁ − p₂  (Click to select)  =  ≠  0 versus H_a: p₁ − p₂  (Click to select)  ≠  =  0.

(b) Test the hypotheses you set up in part a by using critical values and by setting α equal to .10, .05, .01, and .001. How much evidence is there that the proportions of U.K. and U.S. ads using humor are different? (Round the proportion values to 3 decimal places. Round your answer to 2 decimal places.)

  z = ____________   

(Click to select)  Reject  Do not Reject  H₀ at each value of α;   (Click to select)  extremely strong  some  very strong  none  strong  evidence.

(c) Set up the hypotheses needed to attempt to establish that the difference between the proportions of U.K. and U.S. ads using humor is more than .05 (five percentage points). Test these hypotheses by using a p-value and by setting α equal to .10, .05, .01, and .001. How much evidence is there that the difference between the proportions exceeds .05? (Round the proportion values to 3 decimal places. Round your z value to 2 decimal places and p-value to 4 decimal places.)

(Click to select)  Reject  Do not Reject  H₀ at each value of α = .10 and α = .05;  (Click to select)  strong  some  none  very strong  extremely strong  evidence.

(d) Calculate a 95 percent confidence interval for the difference between the proportion of U.K. ads using humor and the proportion of U.S. ads using humor. Interpret this interval. Can we be 95 percent confident that the proportion of U.K. ads using humor is greater than the proportion of U.S. ads using humor? (Round the proportion values to 3 decimal places. Round your answers to 4 decimal places.)

95% of Confidence Interval                      [  ,  ]

(Click to select)  No  Yes  the entire interval is above zero.

In an article in the Journal of Advertising, Weinberger and Spotts compare the use of humor in television ads in the United States and in the United Kingdom. Suppose that independent random samples of television ads are taken in the two countries. A random sample of 400 television ads in the United Kingdom reveals that 142 use humor, while a random sample of 500 television ads in the United States reveals that 123 use humor.

(a) Set up the null and alternative hypotheses needed to determine whether the proportion of ads using humor in the United Kingdom differs from the proportion of ads using humor in the United States.

H₀: p₁ − p₂   (Click to select)   ≠   =  0 versus H_a: p₁ − p₂   (Click to select)   =   ≠  0.

(b) Test the hypotheses you set up in part a by using critical values and by setting α equal to .10, .05, .01, and .001. How much evidence is there that the proportions of U.K. and U.S. ads using humor are different? (Round the proportion values to 3 decimal places. Round your answer to 2 decimal places.)

  z             

  (Click to select)   Do not Reject   Reject  H₀ at each value of α;     (Click to select)   strong   none   some   very strong   extremely strong  evidence.

(c) Set up the hypotheses needed to attempt to establish that the difference between the proportions of U.K. and U.S. ads using humor is more than .05 (five percentage points). Test these hypotheses by using a p-value and by setting α equal to .10, .05, .01, and .001. How much evidence is there that the difference between the proportions exceeds .05? (Round the proportion values to 3 decimal places. Round your z value to 2 decimal places and p-value to 4 decimal places.)

  (Click to select)   Do not Reject   Reject  H₀ at each value of α = .10 and α = .05;   (Click to select)   extremely strong   very strong   strong   none   some  evidence.

(d) Calculate a 95 percent confidence interval for the difference between the proportion of U.K. ads using humor and the proportion of U.S. ads using humor. Interpret this interval. Can we be 95 percent confident that the proportion of U.K. ads using humor is greater than the proportion of U.S. ads using humor? (Round the proportion values to 3 decimal places. Round your answers to 4 decimal places.)

95% of Confidence Interval                      [  ,  ]

  (Click to select)   No   Yes  the entire interval is above zero.

Which assertion about stocks gamma, Hotel, India, and Juliet is true if PH > PJ > 0 and PI > PG > 0? And:

• All 4 stocks pay annual dividends with the next dividend expected to be paid in 1 year.
• The dividends for each stock are expected to grow at a constant rate of G forever.
• The expected returns for stocks Juliet and Hotel are expected to be different, and the expected returns for stocks India and Gamma are expected to be the same.
• The next expected dividends for stocks India and Gamma are expected to be different and the next expected dividends for stocks Juliet and Hotel are expected to be the same.
• Assume all expected dividends, growth rates, and returns are positive and all expected growth rates are less than all expected returns.

Playland at Pacific National Exhibition is an amusement park offering 31 different rides (including 4 rollercoasters and 1 water ride). The guests who are 48” or taller can go on any ride they want and so they get more value from visiting the park; let us say their individual demand is given by P = 5 – 0.25qO, where P is the price per ride ($ per ride) and qO is the number of the rides (per day) (the subscript O stands for “One Day;” that’s how the park calls its passes for the guests who are 48” or taller). The guests who are under 48” are not allowed on certain rides so they get less value from visiting the park; let us say their individual demand is given by P = 4 – 0.25qJ, where P is the price per ride ($ per ride) and qJ is the number of the rides (per day) (the subscript J stands for “Jr. One Day;” that’s how the park calls its passes for the guests under 48”). Assume it costs the park flat ¢25 per guest to operate a single ride, and it costs the park flat ¢75 to issue a single ticket to a ride. Assume there are 500 guests 48” or taller and 500 guests under 48” on an average day. We can consider Playland a monopolist in Vancouver

If Playland employed a second-degree price discrimination scheme (single ride tickets are issued, each rider receives a book of tickets [qO or qJ]),

what is Playland’s profit on an average day ($ per day)? Assume zero fixed cost

November 21, 1980, was the day of a tragic fire in the MGM Grand Hotel in Las Vegas. At the time of the fire, the hotel had only $30 million of liability insurance. One month after the fire, the hotel bought an extra $170 million of liability coverage for a premium of $37.5 million, retroactive to November 1, 1980 (before the fire). Based on your knowledge of present value concepts, why would insurers be willing to issue insurance to MGM under these conditions?

If the equilibrium wage is $9 in the market for hotel workers and $8 in the market for restaurant workers and both markets have similar elasticities of labor supply and demand, then a minimum wage of $10 in both markets will: