Statisitics Flashcards

KeyWords and Methods

1
Q

Population

A

Everything or everyone being investigated

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

Sample

A

Collects information from part of the population

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

Mean

A

Add and divide for the mean

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

Mode

A

The one you see the most / The interval with the highest frequency

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

Median

A

The middle value

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

Range

A

Difference between the highest and lowest value

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

Interquartile Range

A

Upper quartile - Lower quartile

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

Outlier

A

The value that doesn’t fit with the rest of the data

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

Primary Data

A

Data you’ve collected yourself

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

Secondary Data

A

Data you got from another resource; book, internet etc.

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

Qualitative Data

A

Non-numeric data

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

Quantitative Data

A

Numeric data

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

Bias

A

One sided( collecting data bout ‘How many Cds are bought?’ outside a Cd shop

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

Census

A

Process of collecting information about every member of a population. Population of a country, Ratio of different genders, Number of employed people, Total number of educated people, etc.

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

Parameter

A

A numerical characteristic of a population, as distinct from a statistic of a sample.

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

Discrete Data Examples

A

Shoe size, Clothes size

17
Q

Continuous Data Examples

A

Height, Weight