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3 years ago

BRAINLIEST!!!!!!!!

1 answer:

8 0

1. Review each debt that creditors claim you owe to make certain you really owe it and that the amount is correct. If you dispute a debt, first contact the creditor directly to resolve your questions. If you still have questions about the debt, contact your state or local consumer protection office or, in cases of serious creditor abuse, your state Attorney General.

2. Contact your creditors to let them know you are having difficulty making your payments. Tell them why you are having trouble—perhaps it is because you recently lost your job or have unexpected medical bills. Try to work out an acceptable payment schedule with your creditors. Most are willing to work with you and will appreciate your honesty and forthrightness.

3. Budget your expenses. Create a spending plan that allows you to reduce your debts. Itemize your necessary expenses (such as housing and health care) and optional expenses (such as entertainment and vacation travel). Stick to the plan.

4.Use your savings and other assets to pay down debts. Withdrawing savings from low-interest accounts to settle high-rate loans usually makes sense.

I dont know if this will help but i promise i tried.

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3 years ago

Given a need to raise capital of $2 million and attorney costs of $150,000, with an underwriter's spread of 3%, the amount of bo

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Answer:

The amount of bond issuance is $2,085,500

Explanation:

The computation of the amount of bond issuance is shown below:

= Raise capital + attorney cost - underwriter spread

= $2,000,000 + $150,000 - 3% of $2,150,000

= $2,150,000 - 3% of $2,150,000

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We simply applied the above formula so that the correct value could come

6 0

3 years ago

The average starting salary for this year's graduates at a large university (LU) is $20,000 with

Alexus [3.1K]

Answer:

a) The probability that a randomly selected LU graduate will have a starting salary of at least $30,400 = P(x ≥ 30400) = 0.0968

b) The probability that a randomly selected LU graduate will have a salary of exactly $30,400 = 0.000021421

c) Percentage of students that will receive a tax break = 29.12%

d) Total Number of graduates this year = 3,000

Explanation:

This is a normal distribution problem with

Mean = μ = $20,000

Standard deviation = σ = $8,000

a) The probability that a randomly selected LU graduate will have a starting salary of at least $30,400 = P(x ≥ 30400)

We first normalize or standardize $30,400

The standardized score for any value is the value minus the mean then divided by the standard deviation.

z = (x - μ)/σ = (30400 - 20000)/8000 = 1.30

The required probability

P(x ≥ 30400) = P(z ≥ 1.30)

We'll use data from the normal probability table for these probabilities

P(x ≥ 30400) = P(z ≥ 1.30) = 1 - P(z < 1.30)

= 1 - 0.90320

= 0.0968

b) The probability that a randomly selected LU graduate will have a salary of exactly $30,400

Here, we will use the normal distribution formula. The normal distribution formula is presented in the attached image

P(X = x) = f(x) = [1 ÷ σ√(2π)] × e^(-0.5z²)

x = $30,400

σ = $8,000

z = 1.30

P(X = 30400) = f(30400) = 0.000021421

c) Individuals with starting salaries of less than $15600 receive a low income tax break.

What percentage of the graduates will receive the tax break?

Required probability = P(x < 15600)

We first normalize or standardize $15,600

z = (x - μ)/σ = (15600 - 20000)/8000 = -0.55

The required probability

P(x < 15600) = P(z < -0.55)

We'll use data from the normal probability table for these probabilities

P(x < 15600) = P(z < -0.55)

= 0.29116 = 29.116% = 29.12%

d) If 189 of the recent graduates have salaries of at least $32240, how many students

graduated this year from this university?

We first find the percentage of LU graduates with salaries more than $32240

Required probability = P(x ≥ 32240)

We first normalize or standardize $32,240

z = (x - μ)/σ = (32240 - 20000)/8000 = 1.53

The required probability

P(x ≥ 32240) = P(z ≥ 1.53)

We'll use data from the normal probability table for these probabilities

P(x ≥ 32240) = P(z ≥ 1.53) = 1 - P(z < 1.53)

= 1 - 0.93699

= 0.06301 = 6.301%

So, 6.301% of the graduates this year = 189

Total Number of graduates this year = (189/0.06301) = 2999.5 = 3000 graduates this year.

Hope this Helps!!!

7 0

3 years ago