Module 1 Flashcards

(20 cards)

1
Q

What happens if A1 and A2 are disjoint sets?

A

The probability of both occuring Pr(A1 U A2) = Pr(A1) + Pr(A2)
- Literally just add the probability of getting A1 and A2

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2
Q

What does disjoint mean?

A

That they can’t occur at the same time

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3
Q

What is the probability of sample space?

A

1

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4
Q

Can the probability of an event be 0?

A

No

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5
Q

What is the difference between Union and Intersect?

A

Union is the probability of both events (one or the other) happening
- Everything in both sets
Intersect is the probability of the shared events of both sets happening
- Only what they have in common

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6
Q

If two sets are intersect, what is the probability?

A

The probability of the intersect of two sets cannot be larger than the probability of A or B

$$Pr(A \cap B) <= min(Pr(A), Pr(B))$$

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7
Q

What is true about the probability of the union of A and B (Two Sets)?

A

The probability that A and B occur (union) is less than or equal to the sum of Pr(A) + Pr(B)
- $$Pr(A\cup B) <= Pr(A) + Pr(B))$$

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8
Q

If a set is apart of the sample space, then what is true about the probability of the sample space?

A

Adding all the probabilities together, it equals 1

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9
Q

What is conditional probability?

A

The probability of event A occuring given B

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10
Q

Pr(A|B)
Which has already occured and which one are we trying to figure out the probability for?

A

B has already occured
We are trying to find A

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11
Q

How to find Pr(A|B)

A

$$\Pr(A \mid B) = \frac{\Pr(A \cap B)}{\Pr(B)}$$
The intersect of A and B divided by the probability of B

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12
Q

What are random variables?

A

Assigning a set of outcomes to a numerical value, we do this to make things simpler

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13
Q

Two events are considered independent if:

A

$$Pr(A \cap B) = Pr(A)Pr(B)$ or $\Pr(A \mid B) = Pr(A)$$

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14
Q

What is a Discrete Random Variable?

A

A countable value like the number of heads from 3 coin tosses

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15
Q

What is a Continous Random Variable?

A

An uncountable value like height or time to finish a race

  • Stuff like height isn’t 100% accurate as other factors could affect it
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16
Q

What does CDF stand for and mean?

A

Cumulative Distribution Function
The probability of all X value in a rnage
Find Pr of X less than or equal to x
ex. Income, find all people who gets paid 100k or less

17
Q

What does PDF stand for and mean?

A

Probability Density Function
Probability over an interval
Probability of x falls under a range
Usually for Continous R.V.
Ex. Find the range of people who fall under the range 95k - 105k

18
Q

What does PMF stand for and mean?

A

Probability Mass Function: The probability X takes an exact value
Probabiliyt of all X must equal 1
Only uses Discrete Random Variables

19
Q

What does Expectation mean?

A

The weighted Average of possible values