I JUST NEED THE ANSWER, THX.

Three different companies each purchased trucks on January 1, 2018, for $80,000. Each truck was expected to last four years or 250,000 miles. Salvage value was estimated to be $4,000. All three trucks were driven 78,000 miles in 2018, 55,000 miles in 2019, 50,000 miles in 2020, and 70,000 miles in 2021. Each of the three companies earned $69,000 of cash revenue during each of the four years. Company A uses straight-line depreciation, company B uses double-declining-balance depreciation, and company C uses units-of-production depreciation.
Answer each of the following questions. Ignore the effects of income taxes.

a-1. Calculate the net income for 2018? (Round "Per Unit Cost" to 3 decimal places.)

a-2. Which company will report the highest amount of net income for 2018?

b-1. Calculate the net income for 2021? (Round "Per Unit Cost" to 3 decimal places.)

b-2. Which company will report the lowest amount of net income for 2021?

c-1. Calculate the book value on the December 31, 2020, balance sheet? (Round "Per Unit Cost" to 3 decimal places.)

c-2. Which company will report the highest book value on the December 31, 2020, balance sheet?

d-1. Calculate the retained earnings on the December 31, 2021, balance sheet?

d-2. Which company will report the highest amount of retained earnings on the December 31, 2021, balance sheet?

E.Which company will report the lowest amount of cash flow from operating activities on the 2020 statement of cash flows?

A tire manufacturer produces tires that have a mean life of at least 30000 miles when the production process is working properly. The operations manager stops the production process if there is evidence that the mean tire life is below 30000 miles. The testable hypotheses in this situation are ?0:?=30000 H 0 : μ = 30000 vs ??:?<30000 H A : μ < 30000 .

1. Identify the consequences of making a Type I error. A. The manager does not stop production when it is necessary. B. The manager does not stop production when it is not necessary. C. The manager stops production when it is not necessary. D. The manager stops production when it is necessary.

2. Identify the consequences of making a Type II error. A. The manager does not stop production when it is not necessary. B. The manager stops production when it is not necessary. C. The manager stops production when it is necessary. D. The manager does not stop production when it is necessary. To monitor the production process, the operations manager takes a random sample of 15 tires each week and subjects them to destructive testing. They calculate the mean life of the tires in the sample, and if it is less than 28500, they will stop production and recalibrate the machines. They know based on past experience that the standard deviation of the tire life is 2000 miles.

3. What is the probability that the manager will make a Type I error using this decision rule? Round your answer to four decimal places.

4. Using this decision rule, what is the power of the test if the actual mean life of the tires is 28600 miles? That is, what is the probability they will reject ?0 H 0 when the actual average life of the tires is 28600 miles? Round your answer to four decimal places.

A tire manufacturer produces tires that have a mean life of at least 30000 miles when the production process is working properly. The operations manager stops the production process if there is evidence that the mean tire life is below 30000 miles.

The testable hypotheses in this situation are H0:μ=30000H0:μ=30000 vs HA:μ<30000HA:μ<30000.

1. Identify the consequences of making a Type I error.
A. The manager stops production when it is not necessary.
B. The manager stops production when it is necessary.
C. The manager does not stop production when it is not necessary.
D. The manager does not stop production when it is necessary.

2. Identify the consequences of making a Type II error.
A. The manager stops production when it is necessary.
B. The manager does not stop production when it is necessary.
C. The manager does not stop production when it is not necessary.
D. The manager stops production when it is not necessary.

To monitor the production process, the operations manager takes a random sample of 30 tires each week and subjects them to destructive testing. They calculate the mean life of the tires in the sample, and if it is less than 29000, they will stop production and recalibrate the machines. They know based on past experience that the standard deviation of the tire life is 2750 miles.

3. What is the probability that the manager will make a Type I error using this decision rule? Round your answer to four decimal places.

4. Using this decision rule, what is the power of the test if the actual mean life of the tires is 28750 miles? That is, what is the probability they will reject H0H0 when the actual average life of the tires is 28750 miles? Round your answer to four decimal places.

the exchange rate for peruvian sol is 0.3 EURO per sol. The exchange rate for Singaporean dollar per euro. What is the price of sol in SGD

Given P(A) = 0.6, P(B) = 0.5, P(A | B) = 0.3, do the following. (a) Compute P(A and B).

(b) Compute P(A or B).

Expected Returns: Discrete Distribution

The market and Stock J have the following probability distributions:

a.Calculate the expected rate of return for the market. Round your answer to two decimal places.
%

b. Calculate the expected rate of return for Stock J. Round your answer to two decimal places.
%

c. Calculate the standard deviation for the market. Round your answer to two decimal places.
%

d. Calculate the standard deviation for Stock J. Round your answer to two decimal places.
%

A contractor is interested in the total cost of a project for which he intends to bid. He estimates that materials will cost P25000 and that his labour will cost P900 per day. The contractor then formulates the probability distribution for completion time (X), in days, as given in the following table. Completion time in days (X) 10 11 12 13 14 P(X=x) 0.1 0.3 0.3 0.2 0.1 a) Determine the total cost function C for the project. b) Find the mean and variance for completion time X. c) Find the mean, variance and standard deviation for the total cost C.

Use the normal distribution and the given sample results to complete the test of the given hypotheses. Assume the results come from a random sample and use a 5 % significance level:

a) Test H 0 : p = 0.5 vs H a : p > 0.5 using the sample results p ^ = 0.60 with n = 50

b) Test H0 : p=0.3 vs Ha : p<0.3 using the sample results p^=0.20 with n=198

c) Test H0 : p=0.75 vs Ha : p≠0.75 using the sample results p^=0.70 with n=124

The daily rainfall in Cork (measured in millimeters) is modelled using a gamma distribution with parameters α = 0.8 and β = 0.3.

1) Use Markov’s inequality to upper bound the probability that the observed rainfall in a given day is larger than 3 mm, and compare the value to the result of cdf calculation.

2) Consider the overall rainfall in 365 days, and use moment generating functions and their properties to prove that this is Ga (292, 0.3).

3) Use the central limit theorem to approximate the probability that the annual rainfall exceeds 800mm (write down the analytical formula and the code used to calculate the cdf value).

1. Bowl A contains three red and two white chips, and bowl B contains four red and three white chips. A chip is drawn at random from bowl A and transferred to bowl B. Compute the probability of then drawing a red chip from bowl B.

2. Let P(A)=0.3P(A)=0.3 and P(B)=0.6P(B)=0.6. Find P(A∪B)P(A∪B) when AA and BB are indepdenent.

3. Let P(A)=0.3P(A)=0.3 and P(B)=0.6P(B)=0.6. Find P(A|B)P(A|B) when AA and BB are mutually exclusive.