Chapter 4 -1 Flashcards

1
Q

What is the definition of probability and what are the prob values assigned

A
  • A numerical measure of the likelihood that an event will occur
  • Can be used as measures of the degree of uncertainty
  • Probability values are always assigned on a scale of 0 to 1
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2
Q

What are probability values always assigned on a scale of and explain those numbers

A

Probability of 1 = The event is almost certain to occur

Probability of -5 = The event is just as likely as unlikely to occur

Probability of zero = The event is unlikely to Occur

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3
Q

Define experiment

A

A process that generates well defined outcomes

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4
Q

Define sample space

A

The set of all experimental outcomes

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5
Q

Define sample point

A

An experimental outcome

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6
Q

What are the three useful accounting rules

A
  1. Multistep experiments
  2. Combinations
  3. Permutations
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7
Q

Explain a multi step experiment

A

If an experiment can be described as a sequence of key steps with N possible outcomes on the first step and n possible outcomes on the second step and so on

Total number of experimental outcomes is given by

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8
Q

Define combinations

A

Allows us to count the number of experimental outcomes when the experiment involves selecting n objects for a set of N objects

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9
Q

What is the formula for multi step experiments

A

Add

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10
Q

What is the formula for combinations

A

Add

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11
Q

What does zero factorial equal

0!

A

1

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12
Q

For combinations does order matter or does it not matter

A

Order does not matter

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13
Q

Explain permutations

A

Allows us to compute the number of experimental outcomes when n Objects are to be selected from a set of N Objects

Order matters

The same n Object selected in a different order are considered different experimental outcomes

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14
Q

Which counting rule results in more outcomes?

A

Permutations

Because every Selection of n Objects can be ordered in n! Different ways

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15
Q

What is the formula for permutations

A

Add

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16
Q

What are the three most used approaches for assigning probabilities

A
  1. The classical method
  2. The relative frequency method
  3. The subjective method
17
Q

What two basic requirements are needed for assigning probabilities

A
  1. The probability assigned to each experimental outcome must be between zero and one inclusively
  2. The sum of probability for all experimental outcomes must equal 1.0
18
Q

Defined the classical method for assigning probabilities

  1. When would you use it
  2. Are basic requirements satisfied
  3. Provide an example
A
  • It’s used when all experimental outcomes are equally likely
  • Two basic requirements are satisfied automatically
  • Example tossing a coin
19
Q

Defined the Relative frequency method for assigning probabilities

  1. When would you use it
  2. Are basic requirements satisfied
  3. Provide an example
A
  • Use when data are available to estimate the proportion of time the experimental outcome will occur if the experiment is repeated a large number of times
  • Two basic requirements are automatically satisfied
20
Q

Defined the Subjective method for assigning probabilities

  1. When would you use it
  2. Are basic requirements satisfied
  3. Provide an example
A

Use when: We cannot realistically assume that the experimental outcomes are equally likely and when little relevant data is available

  • Based on a degree of belief