Stats 2 - Probability, DRVs and Binomial Model Flashcards

1
Q

What is a sample space diagram?

A

A table that shows all the possible outcomes of events

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is theoretical probability?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is experimental probability?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the expected frequency?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the difference between a “subset” and a “proper subset”?

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Draw the Venn diagram for :
A U B
A ∩ B
A’
A ∩ B’

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

What does it mean for two events to be mutually exclusive?

A

They cannot happen at the same time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

How would you represent the probability of being mutually exclusive and not mutually exclusive? (With equation)

A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What does it mean for two events to be independent? (With equation)

A

They have no affect on each other

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What does this notation mean?

17
Q

Explain the Discrete Random Variable as:
* sample space
* probability distribution table
* probability function

19
Q

What is discrete uniform distribution?

A

A probability distribution with all equal likely outcomes, that is, P(X = x) = p, for every x in X. For instance, if we roll an ordinare and fair six-sided dice (1, 2, 3, 4, 5, and 6) and denote by X the upper-most value shown by the dice, then P(X = x) = 1/6, for all x’s.

20
Q

What are the conditions for a probability distribution to be binomial?

A
  • Two possible outcomes: Success & failure
  • Fixed number (n) of trials
  • Fixed probability (p) of success
  • Trials are independent
21
Q

What is the symbol for a binomial distribution, and what is the formula for P(X = x)?

25
26
27
28
29
30
31