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3 years ago

How much money will you have in a savings account that earns 16% annually in 10 years if you invest $5000 per year?

Business

1 answer:

klio [65]3 years ago

3 0

Answer:

The final value is $106,607.35.

Explanation:

Giving the following information:

n= 10 years

i= 16%

Annual deposit= $5,000

To calculate the final value we need to use the following version of the final value formula:

FV= {A*[(1+i)^n-1]}/i

A= annual deposit

FV= {5,000*{(1.16^10)-1]}/0.16= $106,607.35

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Anne is a full-time student at UCLA buts works part-time as a waitress at a diner near her dormitory. She earns an hourly wage b

miss Akunina [59]

Answer:

In California, if the tip is included in the service charge, Anne's employer must pay taxes for them. The employer is required to pay for these taxes in California, not the employee. Even though tips are not part of an employee's wage, they are still taxable. This means that Anne must include the $51 in her AGI.

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3 years ago

An investment project provides cash inflows of $1,275 per year for eight years. a. What is the project payback period if the ini

photoshop1234 [79]

Answer:

The correct answer for option (a) is 3.22 years, option (b) is 4.04 years and for option (c) is 0 years.

Explanation:

According to the scenario, the given data are as follows:

Cash inflow = $1,275

Project payback period = Initial cost ÷ Cash inflow

(a). Initial cost = $4,100

So, Project payback period = $4,100 ÷ $1,275

= 3.22 years

(b) Initial cost = $5,150

So, Project payback period = $5,150 ÷ $1,275

= 4.04 years

(c). Initial cost = $11,200

So, Project payback period = $11,200 ÷ $1,275

= 8.78 years

As it is more than the eight years period, it never pays back.

So, 0 years

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3 years ago

psychologists usually attempt to determine whether or not data supports a hypothesis through the use of ____.

guajiro [1.7K]

Psychologists usually attempt to determine whether or not data supports a hypothesis through the use of statistics which means gathering/collecting all data facts and important information.

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3 years ago

Do some research on mergers and acquisitions. What were the five largest mergers– acquisitions last year? Make a list of the par

viktelen [127]

Answer:

Mergers and Acquisitions in 2019:

1. The five largest mergers-acquisitions in 2019:

Acquirer and Partner

a. BB&T and SunTrust

b. Schwab and TD Ameritrade

c. Raythem and UTC

d. Newmont and Goldcorp

e. Salesforce and Tableau Software

2. Reasons for the M&A:

a. BB&T and SunTrust - to cut cost

b. Schwab and TD Ameritrade - to save money

c. Raythem and UTC - to become largest defence company

d. Newmont and Goldcorp - to acquire competitive advantage

e. Salesforce and Tableau Software - to boost revenue

3. Some of the M&A transactions do not make any strategic sense. For example, now that Raythem and UTC combined want to form the largest defense company, do they add much to their stockholders returns? Some others acquired to cut cost will experience the huge costs of acquisition, which are, most times, too large to be written off in a single year.

Explanation:

Major financial transactions done at the corporate level for the purpose of consolidating the assets of two or more companies, growing market share, and eliminating competition are called Mergers and Acquisitions (M&A). Consolidation of companies may be achieved through mergers, acquisitions, assets purchase, management acquisitions, etc.

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2 years ago

Sasha, a production manager at ZestCorp Inc., must predict future labor demand using information about inventory levels from the

Olegator [25]

Answer:

Trend Analysis

Explanation:

Trend analysis pertains to categorizing and assigning statistical prototypes that indicate labor demand for the next business year. That is, forecasting your future labor need from past experience and statistical data. This gives Sasha a reasonable objective statistics from the past 3years which she will base her forecast on for the next year. These statistics are also called leading indicators. In this technique. Sasha is utilizing trend analysis to anticipate labor demand.

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3 years ago