Module 4 Basic Probability Flashcards

To understand basic probability concepts & conditional probability.

1
Q

The ______ _____ is the collection of all possible outcomes of a variable
e.g., all 6 faces of a die
e.g., Two sides of the same coin

A

Sample space

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2
Q

*An event described by a single characteristic.
*E.g., A day in January from all days in 2019

A

Simple Event

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3
Q

*An event described by two or more characteristics.
*E.g., A day in January that is also a Wednesday from all days in 2019.

A

Joint Event

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4
Q

*All events that are not part of event A
*E.g., All days from 2019 that are not in January

A

Complement of an even A (denoted A’)

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5
Q

-The numerical value representing the chance, likelihood, or possibility that an event will occur (Always between 0 and 1).

A

Probability

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6
Q

-An event that has no chance of occurring (probability = 0)

A

Impossible Event

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7
Q

-An event that is sure to occur (probability = 1)

A

Certain Event

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8
Q

*Events that cannot occur simultaneously
Ex: Tuesday & Wednesday

A

Mutually exclusive events

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9
Q

*One of the events must occur.
*The set of events covers the entire sample space.
EX: Randomly choose a day from 2019
-A = Weekday;
-B =Weekend

A

Collectively Exhaustive Events

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10
Q

When randomly selecting a day from the year 2019 what is the probability the day is in January?

X/T = 31 (days in Jan.)/365 (days in a year)

A

Probability of occurence

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11
Q

*___________ is the numerical measure of the likelihood that an event will occur.
*the ___________ of any event must be between 0 and 1, inclusively.
*The sum of the _____________ of all mutually exclusive and collectively exhaustive events is

A

Probability

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12
Q

0 ≤ P(A) ≤1 For any event A

A

Probability

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13
Q

P(A)+P(B) +P(C)=1
-If A,B, and C are mutually exclusive and collectively exhaustive

A

Probability

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14
Q

Summarizing Sample spaces

A

Contingency Table

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15
Q

Summarizing Sample spaces

A

Venn Diagram

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16
Q

*______ (=marginal) Probability refers to the probability of a simple event
-P(Planned to purchase)
-P(Actually purchased)

17
Q

_____ Probability refers to the possibility of an occurrence of two or more events
-ex. P(Plan to Purchase and Purchase).
-ex. P(No Plan and Purchase).

A

Joint Probability

18
Q

(Exercise:) What is the probability of “bought TV”?

A

Simple Probability

19
Q

(Exercise:) What is the probability of “planned to buy TV” and “bought TV”?

A

Joint Probability

20
Q

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

A

General Additional Rule

21
Q

If A and B are ________ exclusive, then P(A and B) = 0, so the rule can be simplified:

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

A

mutually exclusive

22
Q

What is the Probability of “planned to buy TV” or “bought TV?

Actually bought | did not | Total
Bought | 200 | 50 | 250
Did not buy | 100 | 650 | 750
Total | 300 | 700 | 1,000

A

P(A U B) = P(A) + P(B) - P(A ∩ B)

250/1,000+ 300/1,000 - 200/1,000 = 350/1,000 = 0.35 (35%)

23
Q

-A ___________ probability is the probability of one event, given that another event has occurred

A

conditional probability

24
Q

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

A

The conditional probability of A given that B has occurred.

25
Q

P(B | A) P(A and B)/P(A)

A

The conditional probability of B given that A has occurred.

26
Q

P(A and B) =

A

Joint probability of A and B

27
Q

P(A) =

A

marginal or simple probability of A

28
Q

P(B) =

A

Marginal or simple probability of B

29
Q

-Two events are independent if and only if:

A

P(A|B)=P(A)

30
Q

P(A|B)=P(A)

A

*Events A and B are independent when the probability of one event is not affected by the fact that the other event has occurred.