Facts Flashcards

1
Q

Mean

A

Add up all results and divide by the total amount of readings taken

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2
Q

Median

A

Line up all results and take one away from each end until you are left with middle result

If left with 2 in middle, then add them together and divide by 2

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3
Q

Mode

A

Most frequent

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4
Q

Range

A

Take smallest data way from largest data

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5
Q

Standard Deviation

A

Used to show how spread out data is in a set of results

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6
Q

Upper Quartile

A

n(total amount of readings)+1/4

Then find this on the line up of ranks

If .5 = must add then up and divide by 2

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7
Q

Lower Quartile

A

n+1/4 x 3

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8
Q

Inter Quartile Range

A

UQ-LQ

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9
Q

Qualitative Data

A

Qualitative data involves the collection of opinions, perspectives, thoughts
and feelings.

Doesn’t usually involve the collection of numerical data,
though there are exceptions.

More subjective in nature

E.g. open-ended questionnaire responses, pebble
shape, description of friction

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10
Q

Quantitative Data

A

Numerical in form, or can be placed
into categories for counting

It is more objective in
nature

E.g. Pedestrian counts, stream velocity or beach
profile measurements

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11
Q

Primary Data

A

Collected 1st hand by a researcher when conducting an investigation

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12
Q

Secondary Data

A

Is used by a researcher which has already been collected by another researcher in the past

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13
Q

Human factors of flooding

A

Poor river management strategies exacerbating flooding

Farming practices leading to ground compaction leading to increased overland flow

Urbanisation

Deforestation

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14
Q

Physical factors of flooding?

A

Heavy rainfall (Monsoon conditions)

Relief

Rock type

Proximity to channel i.e. those areas
further away are less likely to flood.

Vegetation cover

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15
Q

Advantage of Dispersion diagrams

A

Shows spread of mean

Very visual

Can work out interquartile range, mean + median

Can compare graphs easily

Anomalies can be shown

Can work out standard deviation

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16
Q

Disadvantage of Dispersion diagrams

A

Works better with lots of data

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17
Q

Advantages of Radial diagrams

A

Can compare multiple sets of data

Lots of data can be put on one graph

Visual

Individual variables within the diagram can be compared

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18
Q

Disadvantages of Radial diagrams

A

No stats test can be linked to them

Hard to spot anomalies

Hard to make a scale suitable

19
Q

Advantages of Kite diagrams

A

Clear + easy to interpret

Shows changes over distance

Shows density + distribution of variables

20
Q

Disadvantages of Kite diagrams

A

Not all data can be represented by these charts

Time consuming to plot by hand

21
Q

Advantages of Pie charts

A

Allow fractional + percentage comparison

Display approximate proportions of variables throughout the area taken up by the pie chart

Visual = can see general trend

22
Q

Disadvantages of Pie charts

A

Can’t use for exact comparisons

Impossible to extract specific data

May not always be accurate (esp with hand-drawn)

23
Q

Advantages of Line graphs + Bar charts

A

Little background knowledge needed to interpret graph

Comparisons easily made

Clear anomalies

Gives a visual image = shows correlation

24
Q

Disadvantages of Line + Bar graphs

A

Can be time consuming by hand

Can be difficult to read accurately

Can often require additional info for them to be useful

25
Advantages of Dot maps
Effective in showing the spatial density Shows variation + pattern Easy to interpret Easy to generate on computer
26
Disadvantages of Dot maps
Actual values can't be seen Dots crowded = not v.accuarate Time consuming if done by hand Easy to make a mistake
27
Advantages of Triangle graphs
Easy to compare 3 bits of data at one time can be compared as they use the same scale
28
Disadvantages of Triangle graphs
Difficult to construct May be wrongly interpreted Quite difficult to read = have to have knowledge on how to read graph
29
Advantages of Proportional circles
Very visual Can represent large range of data Not dependent on size of area
30
Disadvantages of Proportional circles
Difficult to produce Not accurate/ can't extract data Overlap can occur making it confusing + difficult to interpret
31
Advantages of Flow, Desire + Trip lines
Immediate impression = visual Can show movements easily such as traffic/migration Gives clear sense of direction Clear location component
32
Disadvantages of Flow,desire + Trip lines
Hard to draw Flows can over lap May be difficult to show meeting point of wide bands without overwhelming the map
33
Advantages of Choropleth Maps
Visual impressions of change over a space = general impression General anomalies can be identified Easily done by hand or computer
34
Disadvantages of Choropleth Maps
General Gives false impressions of abrupt change at boundaries Variations within each area are hidden Reading exact figures is impossible
35
Advantages of Isoline Graphs
Drawn easily on computers Can see areas of equal value Can see gradual changes
36
Disadvantages of Isoline Graphs
Do not show discontinuous distributions Small lines + numbers on graphs can be hard to read
37
Advantages of Spearman's rank
Shows significance of data Proves/disproves correlation Allows for further analysis Doesn't assume normal distribution
38
Disadvantages of Spearman's rank
Can be hard/time consuming to work out Complicated formula Can be misinterpreted Need 2 sets of variable data
39
Advantages of Chi Squared
Can test association between variables Identifies difference between observed + expected
40
Disadvantages of Chi Squared
Can't use percentages Data must be numerical Categories of 2 are not good to compare The number of observations must be 20+ Test becomes invalid is any of expected values are below 5 Complicated
41
Advantages of Standard deviation
Shows how much data is clustered around the mean value Gives better idea of how the data is distributed
42
Disadvantages of Standard deviation
Doesn't give full range of data Assumes normal distribution pattern
43
Advantages of Mann Whitney
Shows the median between 2 sets of data You can decide the boundaries of the 2 groups Only needs one variable in set of data
44
Disadvantages of Mann Whitney
More appropriate when data sets are independent of each other Become less accurate when sample size is below 5 or above 20