Collection Of Data Flashcards

(52 cards)

1
Q

Define: Raw Data

A

Data before it is ordered, grouped or rounded

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2
Q

Define: Quantitative Data

A

Data to do with numbers e.g. age or exam score

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3
Q

Define: Qualitative Data

A

Data that is non-numerical e.g. eye colour or gender

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4
Q

Define: Continuous Data

A

Any value e.g. 2.1735… or 5.05168… e.g. length or height

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5
Q

Define: Discrete Data

A

Only particular values e.g. 2 or 5.5 e.g. shoe size or amount of kids

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6
Q

Define: Categorical Data

A

Non-overlapping categories e.g. gender or year group

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7
Q

Define: Ordinal Data

A

Otherwise known as Ranked Data e.g. test scores

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8
Q

Define: Bivariate Data

A

Pairs of data that is related e.g height and weight

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9
Q

Define: Multivariate Data

A

Sets of 3 or more related data e.g. plant colour, leaf colour and plant height

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10
Q

Define: Primary Data

A

Data you collect yourself

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11
Q

Define: Secondary Data

A

Data that someone else has collected, found online or elsewhere

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12
Q

Capture-recapture - Twenty birds in a large aviary are caught and tagged. They are then returned to the aviary. Later forty birds are caught and two are found to have tags. Estimate the number of birds in the aviary.

A

20 - amount with tags
n - whole population

1st Capture - 20/n
2nd Capture - 2/40
20 / 2 = 10
40 x 10 = 400
n = 400

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13
Q

Define: Random Sampling

A

Everyone has an equal chance

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14
Q

How do you use Random Sampling?

A

Number each person or thing a different number and use a random number generator until you get the amount of people you need. (no repeats of numbers)

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15
Q

Define: Judgement Sampling

A

Use your judgement to select a sample that is representative of your population e.g. 10% or 15%

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16
Q

Define: Opportunity Sampling

A

First things that are available at the time e.g. first 15 people who pass you

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17
Q

Define: Cluster Sampling

A

When data naturally breaks into groups e.g. countries. Then you randomly select groups

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18
Q

Define: Systematic Sampling

A

When you choose every 10 or 15 ext objects/people

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19
Q

Define: Quota Sampling

A

When the population is grouped by characteristics like age or gender and a quota (number) of people/objects are chosen to be investigated.

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20
Q

What are Laboratory Experiments?

A

When the whole thing is set up and controlled (fake)

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21
Q

What type of data are Laboratory Experiments?

22
Q

What are Advantages of Laboratory Experiments?

A

Easy to replicate

23
Q

What are Disadvantages of Laboratory Experiments?

A

People act differently when being watched

24
Q

What are Field Experiments?

A

Less fake, only certain things are controlled

25
Where do Field Experiments take place?
Everyday environments
26
What are advantages of Field Experiments?
More like real life
27
What are disadvantages of Field Experiments?
Unethical, might not have permission
28
What are Natural Experiments?
100% true, nothing is set up
29
What are Advantages of Natural Experiments?
More like real life
30
What are Disadvantages of Natural Experiments?
Harder to replicate and no control
31
Random Response Method - Have you ever lied about your age? Flip a coin: - If Heads, put Yes - If Tails, answer honestly 300 answered Yes 200 answered No
Heads = 50% Tails = 50% 300 + 200 = 500 500 x 0.5 = 250 300 - 250 = 50 50/200 = 5/25 = 20/100 = 20% 20%
32
When and why do we use the Random Response Method?
When it is a sensitive topic or a topic that can easily get someone in trouble, e.g. speeding or how much your paid
33
What are Extraneous Variables?
Variables that you aren't interested in however could affect your result e.g. the age of people when checking how good their eyesight is
34
Define: Stratified Sampling
The size of each group is in proportion to the amount of people chosen from the group.
35
State an advantage of Random Sampling.
- Sample is representative - Unbiased - Equal Chance
36
State a disadvantage of Random Sampling.
- Need a full list of the population - Can be expensive and time consuming - Needs a large sample size
37
State an advantage of Judgement Sampling.
- Easy - Quick
38
State a disadvantage of Judgement Sampling.
- Not random - Researcher may be biased
39
State an advantage of Opportunity Sampling.
- Quick - Easy - Cheap
40
State a disadvantage of Opportunity Sampling.
- Not Random
41
State an advantage of Cluster Sampling.
- Less resources required - Can be representative
42
State a disadvantage of Cluster Sampling.
- May not be representative of the whole population - High sampling error.
43
State an advantage of Systematic Sampling.
- Population is evenly spread out - Can be done by a machine - Sample is easy to select
44
State a disadvantage of Systematic Sampling.
- Not strictly random
45
State an advantage of Quota Sampling.
- Quick to use - Cheap - Don't need a full list of the population
46
State a disadvantage of Quota Sampling.
- Not random - Biased
47
State an advantage of Stratified Sampling.
- Represents population fairly - Best for populations with groups of unequal sizes
48
State a disadvantage of Stratified Sampling.
- Time Consuming
49
What are Pilot Surveys?
A small-scale study conducted before a full-scale survey to test the design and method of the survey.
50
What are Control groups? What do they do?
It is used to test the effectiveness of a treatment. The control group is given no treatment or an inactive treatment (called a placebo) to see if the actual treatment works.
51
What are Matched Pairs?
Each individual in one group is paired with an individual in the second group. The two individuals have everything in common/similar characteristics apart from the factor being studied.
52
What is the formula for Stratified Sampling?
(amount in group / total in population) * sample size