Stats Flashcards

1
Q

Numerical data

A

Data is on numbers eg. shoe size

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2
Q

Categorical data

A

Data is text eg. hair colour

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3
Q

Discrete data

A

Whole numbers eg. number of people in a family

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4
Q

Continuous data

A

Can be decimals eg. height

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5
Q

Ordinal data

A

categorical data that can be put in order

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6
Q

Nominal data

A

Categorical data that cant be put in order eg. phone brand

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7
Q

Primary data

A

First hand data

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8
Q

Secondary data

A

Secondary data

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9
Q

Population

A

Entire group being studied

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10
Q

Sample

A

Group selected from population

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11
Q

Outlier

A

Extreme value that is not similar to other values in the data set

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12
Q

Collecting data

A

Sample must be randomly selected - prevent bias
Sample must represent population
Sample must be sufficiently large

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13
Q

Bar chart

A

Individual bars + axis must be labelled
Even scale
use a ruler
Categorical data

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14
Q

Trend graphs

A

Label axis
Scale

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15
Q

Line plot

A

Clear columns of X
Label columns
Can be used for categorical data

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16
Q

Pie charts

A

Circle drawn with compass
Angles measured with protractor
Label angles and sectors
Can be used for categorical data

17
Q

Histogram

A

Scale along both axis
Axis labelled + evenly drawn with ruler
Can be used for continuous numerical data

18
Q

Stem and leaf plot

A

First column = stem (the tens)
Second column = leaf (units)
Include key ed. 3 I 4 = 34
Separate leaves with comas

19
Q

Mean - def

A

The sum of all the values devided by the number of values

20
Q

The mean - pros + cons

A

Pros: Uses all the data
Cons: Affected by outliers

21
Q

Mode - def

A

The number that appears most often

22
Q

Mode - Pros + cons

A

Pros: Not affected by outliers, can be used for any type of data
Cons: Does not use all the data

23
Q

Median - def

A

Middle value when values are in numerical order

24
Q

Median pros + cons

A

Pros: Easy to calculate, not affected by outliers
Cons: Does not use all data

25
Q

Range

A

Difference between highest + lowest value