Chapter 4&5 Flashcards

1
Q

The ________ of a discrete random variable represents the mean value of the outcomes

A

expected value

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2
Q

The ________ for a procedure consists of all possible simple events or all outcomes that cannot be broken down any further

A

Sample space

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3
Q

The classical approach to probability requires that the outcomes are _______.

A

Equally likely

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4
Q

As a procedure is repeated again and again, the relative frequency of an event tends to approach the actual probability. This is known as ____________________.

A

The law of large numbers

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5
Q

Principles of probability

A
  1. The probability of an event is between 0 and 1 inclusive
  2. The probability of an event certain to occur is 1
  3. The probability of an impossible event is 0
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6
Q

Classical approach to probability (equally likely outcomes)

A

P(A) = number of ways A occurs/number of different simple events = s/n

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7
Q

Relative frequency approach of probability (observe and count)

A

P(A) = # of times A occurs/ # of times procedure repeated

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8
Q

Subjective Probability

A

P(A) is estimated

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9
Q

Simulation

A

Process that behaves in the same ways as the procedure itself so that similar results are produced

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10
Q

Complement

A

Consists of all outcomes in which event A does not occur

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11
Q

Significantly high number of successes

A

Probability of 0.05 or less

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12
Q

Disjoint events

A

Two events cannot occur at the same time

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13
Q

Drive thru ?

A
  1. Add all orders to get total
  2. Add all accurate orders
  3. Add accurate order total to not accurate number from restaurant A = x
  4. Take x and divide by total
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14
Q

At least one is equivalent to __________.

A

“One or more”

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15
Q

A ________ probability of an event is a probability obtained with knowledge that some other event has already occurred.

A

Conditional

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16
Q

Confusion of the inverse occurs when we incorrectly believe ___________.

A

P(B|A) = P(A|B)

17
Q

Multiplication Rule

A

P(A and B) = P(A) • P(B|A)

18
Q

Independent events

A

(Replacement)

19
Q

Dependent events

A

(No replacement)

20
Q

Tested positive| given no disease

A
  1. Add all no disease
  2. positive test(no disease)/ individual no disease
21
Q

Permutations

A

Order matters
- n different items are available and r of them are selected without replacement

22
Q

Combinations

A

Order does not matter

23
Q

Multiplication rule

A

P(A and B) = P(A) • P(B|A)

24
Q

Combination lock

A

Uses multiplication rule

25
Q

A _________variable is a variable that has a single numerical value, determined by chance, for each outcome of a procedure.

A

Random

26
Q

A ___________random variable has either a finite of a countable number of values.

A

Discrete

27
Q

A ____________ random variable has infinitely many values associated with measurements.

A

Continuous

28
Q

In a probability histogram, there is a correspondence between __________.

A

Area and probability

29
Q

The ________ of a discrete random variable represents the mean value of the outcomes.

A

Expected value

30
Q

Random variable

A

Variable with a single numerical value, determined by chance, for each outcome of a procedure.

31
Q

Probability distribution

A
  1. Between 0 and 1
  2. All values added to 1
  3. Values must be numerical
32
Q

Binomial Probability Requirements

A
  1. Fixed number of trials
  2. 2 possible outcomes, success and failure
  3. Probability of success remains the same in all trials
  4. Trials are independent
33
Q

In the binomial probability formula, the variable x represents the __________.

A

Number of successes