Why do countries specialize? Check all that apply.

Charlotte (age 40) is a surviving spouse and provides all of the support of her four minor children who live with her (all are u

Kipish [7]

Answer:

a. $58,000

b. $6,752

c. $9,000

Explanation:

a. The computation of taxable income is shown below:-

Taxable income = Salary - Short term capital loss + Cash Prize - Greater of Standard or itemized deduction for year 2018 (assumed)

= $80,000 - $2,000 + $4,000 - $24,000

= $58,000

b. The computation of tax liability is shown below:-

Tax liability (Surviving spouse) = ($1,940) + ($58,000 - $19,400) × 12%

= $1,940 + $38,600 × 12%

= $1,940 + $4,632

= $6,572

c. The calculation of Charlotte's child and dependent tax credit is given below:-

= ($2,000 × 4) + ($500 × 2)

= $8,000 + $1,000

= $9,000

6 0

2 years ago

XYZ Corp is doing a study of consumers' use of soap across the US. The questiuonnaire for the sttudy will include questions abou

serious [3.7K]

Answer:

Such a study is best characterized as a non-experimental study.

Explanation:

Non-experimental research is the study whereby a researcher cannot manipulate, control, or change the subjects of a research but instead, the researcher depends on observation, interpretation, or interactions to arrive at a conclusion. This means that in a non-experimental study, the researcher relies on surveys, correlations or case studies.

Non-experimental research has a great level of external validity because it is usually generalized to a bigger population. XYZ Corp making use of a survey is an example of non-experimental study.

8 0

2 years ago

Human Resource Consulting (HRC) surveyed a random sample of 60 Twin Cities construction companies to find information on the cos

Shkiper50 [21]

Answer:

a. Compute the standard error of the sample mean for HRC.

mean = 502
standard deviation = 100
sample size = 60
standard error = 100 / √60 = 12.9

b. What is the chance HRC finds a sample mean between $477 and $527?

P(477 ≤ X ≤ 527) = P(477 ≤ X - 502 ≤ 527 - 502)

= [(477 - 502) / 12.9] ≤ [(X - 502) / 12.9] ≤ [(527 - 502) / 12.9]

since (X - 502) / 12.9 = z, then

= -1.938 ≤ z ≤ 1.938

so P(477 ≤ X ≤ 527) = P(-1.938 ≤ z ≤ 0) + P(0 ≤ z ≤ 1.938)

z = 1.4662

P(477 ≤ X ≤ 527) = 0.4718 + 0.4718 = 0.9436

c. Calculate the likelihood that the sample mean is between $492 and $512.

P(492 ≤ X ≤ 512) = P(492 ≤ X - 502 ≤ 512 - 502)

= [(492 - 502) / 12.9] ≤ [(X - 502) / 12.9] ≤ [(512 - 502) / 12.9]

since (X - 502) / 12.9 = z, then

= -0.775 ≤ z ≤ 0.775

so P(477 ≤ X ≤ 527) = P(-0.775 ≤ z ≤ 0) + P(0 ≤ z ≤ 0.775)

z = 0.4906

P(477 ≤ X ≤ 527) = 0.2844 + 0.2844 = 0.5688

d. What is the probability the sample mean is greater than $550?

P(550 ≤ X) = P(550 - 502 ≤ X - 502)

= P(48/12.9 ≤ z)

= P(3.72 ≤ z)

= 0.5 - P(0 ≤ 3.72 ≤ z)

= 0.5 - 0.5 = 0

5 0

2 years ago

The following information is available for the Maribel Company for the month of June: The unadjusted balance of the company's Ca

Alex787 [66]

Answer:

The adjusted bank and book balance is shown below:-

Explanation:

The computation of the adjusted bank and book balance is given below:-

Bank statement balance Book balance

Opening balance $26,960 $26,620

Add: Transit Deposit $3,000 Earned Interest $150

Less: Outstanding check 4000 Error on check $810

($4,900 - $4,090)

Adjusted Balance $25,960 $25,960

5 0

2 years ago

Mr. David decision to increase inventory holdings resulted from the consistent pressure of Golden Cup’s Board of Directors to in

vitfil [10]

Answer:

the information is missing, so I looked for a similar question and found the attached image:

a) days inventory on hand = (average inventory / cost of goods sold) x 365 = ($14,000 / $120,000) x 365 = 42.58 days

b) inventory turnover ratio = cost of goods sold / average inventory = $120,000 / $14,000 = 8.57

I agree with Mr. David because the inventory turnover ratio of Golden Cup is already higher than the industry's average. That means that Golden Cup's current inventory level is appropriate and increasing it would only result in higher costs but would have very little influence on the company's sales.

7 0

2 years ago