Chapter 10 Flashcards

1
Q

Weighted mean

A

Like weighted grades

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

Geometric mean

A

used to find the average of a set showing growth or decay, values are multiplied together instead of added

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

Harmonic means

A

Used for rates of change,
n/ {(1/x1)+(1/x2)…..+(1/xn)}

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

nominal measurement

A

Gathers information and labels variables without performing any mathematical operations, useful for mode

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

ordinal measurement

A

places values in a certain order, useful for mean.

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

interval measurement

A

allows you to find intervals between scores on a test. puts values in order and determines differences between the variables. good for mean median and mode

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

Random variable

A

a variable that describes all possible outcomes of a random process

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

discrete

A

total number of outcomes is countable

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

continuous

A

total number of outcomes is not countable

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

expected value

A

the outcome we expect on average

formula: sum of variable x probability (for discrete)

Limit(xF(x)dx (for continuous)

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

quartile

A

a group of values and or means that divide a set into quarters or four groups

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

Interquartile range

A

a value that is the difference between the upper quartile value and the lower quartile value

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

Formula for expected value for discrete probability distribution.

A

E(x) = NsumK=0 (XsubK * P(Xsubk)

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