Elaborate a list of personal pitfalls-the aspects (any) of your previous problem set that you wish to work on in the near future

1. Saudi Arabia has always been a popular country with Americans; current approval ratings are near 90%.

1. True
2. False

(i just need an answer for question 4)

(i just need an answer for just question 4)

you have two facilities, one in Malaysia and one in Indonesia.

The variable cost curve in the Malaysian plant is described as follows:

VC_M = q_­ + .0005*q² , where q is quantity produced in that plant per month.

The variable cost curve in the Indonesian plant is described by

VC_I = .5q + .00075q², where q is the quantity produced in that plant per month.

The fixed cost per month of the Malaysian plant (when amortized over many years) is $900,000. The fixed cost per month of the Indonesian plant is higher (since it is more modern) at $1,000,000.

The fixed costs of each are sunk.

Questions:

1. Given you can sell as many of these screens as you want for $50 per screen, how many units to you want to produce in Malaysia? How many do you want to produce in Indonesia? What is the average variable cost in Malaysia? What is the average variable cost in Indonesia? Show your work

2. There is another major laptop manufacturer that says they will pay you $60 per screen. Without recalculating your answers to 1, how should you change your production in each plant? Which of the following are true (4 points):

1. You should increase output in both, but increase by more in Malaysia than in Indonesia.
2. You should increase output in both, but increase by more in Indonesia than in Malaysia.
3. You should increase both by exactly the same amount

Explain your answer below.

3. The Malaysian government imposes a tax on each screen produced in Malaysia. Without recalculating, how should you change your production in each plant, which of the following are true (4 points):

Malaysian Plant (circle one):       Increase               Decrease             Keep the same                 

Indonesian Plant (circle one):      Increase               Decrease             Keep the same

Instead of the creating a more modern manufacturing plant in Indonesia, you could have built another plant very similar to the one in Malaysia (i.e., one with the same variable cost curve as your current plant in Malaysia), with a fixed monthly cost of $900,000. Should you have just built another plant like the one in Malaysia? Why or why not. Provide any values of certain variables that support you case

A city has built a bridge over a river and it decides to charge a toll to everyone who crosses. For one year, the city charges a variety of different tolls and records information on how many drivers cross the bridge. The city thus gathers information about elasticity of demand. If the city wishes to raise as much revenue as possible from the tolls, where will the city decide to charge a toll: in the inelastic portion of the demand curve, the elastic portion of the demand curve, or the unit elastic portion? Explain using elasticity and total revenue diagram

Which of the following regarding the recognition of contingencies is not correct?

IFRS guidance is built around a balance sheet perspective.

Both IFRS and U.S. GAAP require recognition of a contingent liability when it is both probable and can be reasonably estimated.

U.S. GAAP relies on an income statement perspective.

Only U.S. GAAP requires recognition of a contingent liability, called a provision under IFRS—and the associated contingent loss—when it is both probable and can be reasonably estimated.

Suppose the average size of a new house built in a certain county in 2014 was 2,275 square feet. A random sample of 25 new homes built in this county was selected in 2018. The average square footage was 2,189​, with a sample standard deviation of 227 square feet. Complete parts a and b.

a. Using α=0.02​, does this sample provide enough evidence to conclude that the average house size of a new home in the county has changed since​ 2014?

Determine the null and alternative hypotheses.

H0​:μ ▼ greater than or equals ≥ not equals ≠ less than or equals ≤ equals =

H1​:μ ▼ equals = not equals ≠ less than < greater than > ​(Type integers or decimals. Do not​ round.)

Determine the appropriate critical value. Select the correct choice below and fill in the answer box within your choice. ​(Round to three decimal places as​ needed.)

A. tα=

B. −tα=

C. tα/2 equals =

Calculate the appropriate test statistic.

t-x= ​(Round to two decimal places as​ needed.)

State the conclusion.

(Reject/Do not reject) H0. There is/is not sufficient evidence to conclude that the average house size of a new home in the county has (stayed the same/decreased/changed/increased) since 2014.

b. Determine the precise​ p-value for this test using Excel.

The​ p-value is . ​(Round to three decimal places as​ needed.)

A company has just built a new factory to manufacture their widgets with a method they believe should be more efficient than their old method on a daily basis. To compare they recorded the number of widgets produced by the old factory for the last 9 days before it was shutdown and the first 8 days of the new factory's production. The company has reason to believe that daily production of widgets does not follow the normal distribution and have requested the use of the Wilcoxon rank sum test.

What would be the correct hypothesis test assuming that μ₁ is the mean number produced by the old factory and μ₂ is the mean number produced by the new factory?

H₀: μ₁ = μ₂ vs. H_a: μ₁ > μ₂
H₀: μ₁ > μ₂ vs. H_a: μ₁ = μ₂
H₀: μ₁ = μ₂ vs. H_a: μ₁ < μ₂
H₀: μ₁ = μ₂ vs. H_a: μ₁ ≠ μ₂

What rank should the value 236 from the old factory data have?

Calculate μ_W

Calculate the test statistic W

What is the approximate p value? (Hint: treat W as normally distributed)

A company has just built a new factory to manufacture their widgets with a method they believe should be more efficient than their old method on a daily basis. To compare they recorded the number of widgets produced by the old factory for the last 8 days before it was shutdown and the first 9 days of the new factory's production. The company has reason to believe that daily production of widgets does not follow the normal distribution and have requested the use of the Wilcoxon rank sum test.

What would be the correct hypothesis test assuming that μ₁ is the mean number produced by the old factory and μ₂ is the mean number produced by the new factory?

H₀: μ₁ = μ₂ vs. H_a: μ₁ ≠ μ₂
H₀: μ₁ = μ₂ vs. H_a: μ₁ > μ₂
H₀: μ₁ > μ₂ vs. H_a: μ₁ = μ₂
H₀: μ₁ = μ₂ vs. H_a: μ₁ < μ₂

What rank should the value 267 from the old factory data have?

Calculate μ_W.   and Calculate the test statistic W

What is the approximate p value? (Hint: treat W as normally distributed)