probability Flashcards

1
Q

P(event)=

A

required/total outcomes

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

if a coin is tossed, P(H)=

A

1/2

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

if a coin is tossed, P(T)=

A

1/2

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

if a die is thrown , P(1)=

A

1/6

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

if a die is thrown, P(5)=

A

1/6

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

total probability is always equal to

A

1

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

probability always lies between

A

0 and 1

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

P(x)=0, x is

A

impossible

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

P(x)=1, x will

A

certainly occur

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

at least minimum

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

at least maximum

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

and/ both means

A

multiply

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

or/either means

A

add

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
A
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

sample space

A

P(x)= curly bracket ,,_ curly bracket

18
Q

tree diagram

A

the total of each branch is always 1
don’t forget to label

19
Q
A

intersection

20
Q

U

A

union

21
Q

intersection means

A

multipy

22
Q

union means

A

+ and - with the intersection

23
Q

possibility space diagram is used for

A

2 fair die

24
Q

use factorial when

A

number of outcomes are random

25
Q

P(ABC)=

A

3!

26
Q

P(AAB)=

A

3!/2!

27
Q

P(AA BBB)=

A

5!/2!*3!

28
Q

P(AAA)

A

3!/3!

29
Q

use combination for

A

random and without replacement events

30
Q
A
31
Q

mutually exclusive events

A

2 events cannot take place simultaneously

32
Q

mutually exclusive events conditions

A
33
Q

independent events

A

if either events A and B can occur without being affected by the other, then the 2 events are said to be independent

34
Q

independent events conditions

A
35
Q

P(A, given B) or

A

P(AIB)

36
Q

P(AIB)=

A
37
Q

conditional probability type

A
38
Q

if 2 events are independent

A

they cannot be mutually exclusive and vice versa

39
Q

straight

A

multiply

40
Q

one particular boy

A

so keep him fixed

41
Q
A