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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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Mazyrski [523]

The question is incomplete. Below you will find the missing contents.

The correct match of events with order are,

  • P(A)P(B|A) - Dependent event
  • P(A)+P(B) - Mutually exclusive events
  • P(A and B)/P(A) - Conditional events
  • P(A) . P(B) - Independent Events
  • P(A)+P(B) -P(A and B) - not Mutually exclusive events.

When two events A and B are independent then,

P(A and B)=P(A).P(B)

when A and B are dependent events then,

P(A and B) = P(A) . P(B|A)

When two events A and B are mutually exclusive events then,

P(A and B)=0

So, P(A or B) = P(A) + P(B) - P(A and B) = P(A) + P(B)

P(A) + P(B) = P(A or B)

When events are not mutually exclusive then the general relation is,

P(A or B) = P(A) + P(B) - P(A and B)

If the probability of the event B conditioned by A is given by,

\mathrm{P(B|A)=\frac{P(A~and~B)}{P(A)}}

Hence the correct match are -

  • \mathrm{P(A)P(B|A)\rightarrow} Dependent event
  • \mathrm{P(A)+P(B)}\rightarrow Mutually exclusive events
  • \mathrm{\frac{P(A ~and ~B)}{P(A)}\rightarrow} Conditional events
  • \mathrm{P(A) . P(B)\rightarrow} Independent Events
  • \mathrm{P(A)+P(B) -P(A ~and ~B)\rightarrow} not Mutually exclusive events.

Learn more about Probability of Events here -

brainly.com/question/79654680

#SPJ10

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Step-by-step explanation:

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Step-by-step explanation:

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