Unit 4 Test Flashcards

1
Q

General Additon Rule

A

P(AUB) = P(A) U P(B) - P(AnB)
Or rule
Disjoint Events

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

Multiplication Rule

A

P(A) x P(BIA)
And rule
Independent Events

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

How to make a Venn Diagram for probabilites involving “and” and “or”

A

And: They over lap and have a middle for and
Or: The two circles will never cross

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

Law of Large Numbers

A

Law of averages does not exist

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

Complement Rule

A

At Least
P(BIA)=P(AnB)/P(B)
Find the opposite of what you are looking for a subract it from 1

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

Geometric Models

A

number until next sucess

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Binomial Models

A

How many successes in a certain number of trials

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Find conditional probabiliitites

A

Use the tree and multiplication rule

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Events are disjoint

A

AKA Mutually Exclusive

2 events cannot happen at the same time

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How do you determine if events are independent

A

P(AIB)=P(A)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

E(x)

A

Mulitply x by probability to find the probability of it

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

How do you find expected values?

A

Sum of XP(x)

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

How do you find Variance and what is it?

A

expected value of SD

(x-average)^2 x P + …

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

What does P(BIA) mean?`

A

The probability of B occuring if A has already happened

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

Discrete

A

you know all the outcomes

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

Continuous

A

A range or limitless outcomes

17
Q

How do you find the SD with VARS?

A

Square root the VAR

18
Q

How do you add SDs?

A

SD^2 + SD^2

19
Q

Benoulli Trials

A

Only 2 outcomes, must sample less than 10%, probablity is independent of each other

20
Q

How do you find the mean and SD for geometric models?

A

Mean: 1/p
SD: squareroot failure/p^2

21
Q

How do you find mean and SD in bionomial models?

A

mean: np
SD: square root npq

22
Q

What does q mean?

A

Probability of failures

23
Q

When do you use pdf?

A

for an individual answer

24
Q

When do you use cdf?

A

Adding the numbers

25
Q

How do you do normal model?

A

Find the z score ( x-mean/ SD) and plug it into INVNORM (use binomial SD and mean)