Probability Concepts And Rules Flashcards

1
Q

the ratio of the number of favorable outcomes to the total number of outcomes of an event.

A

Probability

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2
Q

Formula to calculate the probability of an event

A

Probability (Event) = Favorable outcomes / Total Outcomes

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3
Q

a branch of mathematics that is concerned with finding the likelihood of occurrence of a random event

A

Theoretical Probability

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4
Q

gives the outcome of the occurrence of an event based on mathematics and reasoning.

A

Theoretical Probability

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5
Q

If the probability is closer to 0 it implies that the event is

A

less likely to take place.

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6
Q

Theoretical probability can be calculated either by using

A

logical reasoning or by using a simple formula.

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7
Q

Used to calculate the probability of an occurrence of an event without performing an experiment

A

Theoretical probability

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8
Q

A type of probability that assumes that all events have equal likelihood of occurrence.

A

Theoretical probability

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9
Q

The probability that is determined on the basis of the results of an experiment is known as

A

Experimental probability

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10
Q

Experimental probability is also known as

A

Empirical probability

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11
Q

is a probability that is determined on the basis of a series of experiments.

A

Experimental probability

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12
Q

A random experiment is done and is repeated many times to determine their likelihood and each repetition is known as a

A

Trial

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13
Q

Each possible outcome is uncertain and the set of all the possible outcomes is called the

All the possible outcomes of an experiment together constitute a

A

Sample space

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14
Q

A trial or an operation conducted to produce an outcome is called an

A

Experiment

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15
Q

An event that has produced the desired result or expected event is called a

A

Favorable outcome

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16
Q

An experiment that has a well-defined set of outcomes is called a

A

Random experiment

17
Q

total number of outcomes of a random experiment is called an

A

Event

18
Q

An event described by a single characteristic
e.g., A day in January from all days in 2014

A

Simple event

19
Q

An event described by two or more characteristics
-e.g. a day in January that is also a Wednesday from all days in 2014

A

Joint event

20
Q
  • All events that are not part of event A
  • e.g., Al days from 2014 that are not in January
A

Complement of an event A (denoted A’)

21
Q

Events that have the same chances or probability of occurring are called

A

Equally likely events

22
Q

Events that have the same chances or probability of occurring are called

A

Equally likely events

23
Q

When the set of all outcomes of an event is equal to the sample space, we call it an

A

Exhaustive events

24
Q

Events that cannot happen simultaneously are called

A

Mutually exclusive events

25
Q

defines the likelihood of the happening of an event. It is the ratio of favorable outcomes to the total favorable outcomes.

A

The probability equation

26
Q

a visual representation that helps in finding the possible outcomes or the probability of any event occurring or not occurring.

A

Tree diagram

27
Q

often referred
to as the “priori” or “theoretical
probability”, states that in an
experiment where there are B
equally likely outcomes, and event
X has exactly A of these outcomes,
then the probability of X is A/B, or
P(X) = A/B.

A

Classical probability

28
Q

Another term for classical probability

A

Priori

29
Q

or the
experimental perspective evaluates
probability through thought
experiments.

A

Empirical probability

30
Q

considers an individual’s own
belief of an event occurring

A

Subjective probability

31
Q

a set of rules or axioms by Kolmogorov are applied to all the types.

A

Axiomatic probability