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ddd [48]
2 years ago
10

Describe how total job benefits and total employee compensation differ.

Mathematics
2 answers:
mylen [45]2 years ago
7 1

Explanation:

While employee compensation and job benefits are the terms that might overlap in meaning, they are usually understood to recognize two different ideas of remuneration.

Employee compensation implies or refers to the salary, annual incentives and longer term incentives like stock options and other equity compensation that he/she works for.

Job benefits as it is defined in ERISA (US law), implies health and welfare plans and pension plans, such as savings and paid time off.

Other benefits include: housing paid by the employer, with or without free utilities; insurances (health, dental, life etc.); disability income protection; retirement benefits; daycare; tuition reimbursement; sick leave; vacation (paid and non-paid); social security etc.

Compensation is purely the monetary aspect.

Benefits are the non-monetary items like heath insurance, even if you have to pay for it partly out of your own pocket.

Naddika [18.5K]2 years ago
6 0
Total compensation<span> is everything the company provides an </span>employee<span> in exchange for </span>working<span>. It includes base salary, bonuses, </span>benefits, perks and on-site amenities.Total compensation<span> indicates that an </span>employee<span> is making two or three times his base salary.</span>
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3 years ago
A fair four-sided spinner has the numbers 1 to 4 marked on its sides. It is spun twice and the two scores are added together.
scZoUnD [109]

Answer:

Probability of getting doubles = 1/4

Step-by-step explanation:

Given - A fair four-sided spinner has the numbers 1 to 4 marked on its sides. It is spun twice and the two scores are added together.

To find - Using a sample space diagram, find the probability of getting a double.

Proof -

Given that,

A four-sided spinner is spin twice.

So,

The Sample Space becomes

S = { (1, 1), (1, 2), (1, 3), (1, 4)

       (2, 1), (2, 2), (2, 3), (2, 4)

       (3, 1), (3, 2), (3, 3), (3, 4)

       (4, 1), (4, 2), (4, 3), (4, 4) }

So,

n(S) = 16

Now,

Let A is the event Getting a double, So,

A = { (1, 1), (2, 2), (3, 3), (4, 4) }

and

n(A) = 4

So,

The Probability of getting doubles = n(A) ÷ n(S)

                                                         = 4 ÷ 16

                                                         = 1/4

∴ we get

Probability of getting doubles = 1/4

6 0
2 years ago
In a call center that stays open all the time, calls arrive as a poisson process with a mean rate of 0.3 complaints per hour.(a)
DENIUS [597]

The probability the 51st call arriaves within 150hours is 0.0431, the probability the next call arrives within the next 2 hours 0.5488, the probability the sum of these 50 numbers is less than 356 is 0.4165.

Data;

  • Mean rate = 0.3
  • x = 50
  • standard deviation = ?

<h3>Poission Rule</h3>

Using poission formula,

P(x=x) = \frac{e^-^\lambda - \lambda^x}{x!}\\\lambda = 0.3 per minute

Let's substitute the values into the formula.

For 50 calls in 150 hours

For 150 hours = x = 0.3 * 150 = 45

p(x=50) = \frac{e^-^4^5 * 45^5^0}{50!} = 0.0431

b)

The probability the next call arrives after 2 hours.

\lambda = 0.3 * 2 = 0.6\\p(x=0) = \frac{e^-^0^.^6 * 0.6^0}{0!} = 0.5488

c)

The number of calls recieved each day is recorded for 50 consecutive days.

for 50 days;

\lambda = 0.3 * 50 * 24 = 360

The mean = 360

The standard deviation is given as

S.D = \sigma =\sqrt{360} = 18.974\\

The probability the sum of these 50 number is less than 356 is

p = (x < 356) = z = \frac{356 - 360}{18.974} = -0.2108\\p(z < -0.2108) = 0.4165

Learn more on poission formula here;

brainly.com/question/7879375

3 0
2 years ago
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