sampling/ data Flashcards

(42 cards)

1
Q

What is continuous data ?

A

any value in a range

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2
Q

What is discrete data ?

A

data that can only take certain values in a range

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3
Q

What is the population ?

A

complete set of items that share a common property

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4
Q

What is census ?

A

Where every member of the population provides data

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5
Q

What is a sample ?

A

a subset of the population which is used to collect data from

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6
Q

What is a random sample ?

A

Where members of the population have an equal chance of being picked

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7
Q

What is a biased sample ?

A

Where the sample is not random

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8
Q

What should the sample size of a population roughly be (using n as the population)

A

√n (square root population size)

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9
Q

Give an advantage of using a census

A

accurate results as representative of the entire population

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10
Q

Give a disadvantage of using a census

A

time consuming as large amounts of data to organise and analyse

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11
Q

Give an advantage of using a sample

A

quick to organise and analyse the data

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12
Q

Give a disadvantage of using a sample

A

small sample sizes can lead to inaccurate results as not representative of the entire population

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13
Q

What are the 5 different sampling techniques ?

A

1) random
2) stratified
3) cluster
4) quota
5) systematic

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14
Q

What is the method of how to use random sampling ? (2)

A

1) Uniquely number every member of a population
2) Randomly select n different numbers using a random number generator

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15
Q

Give an advantage of using random sampling

A

useful if the population is small

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16
Q

Give a disadvantage of using random sampling

A

if the population is very big, it can be time consuming to number/ list every member of the population

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17
Q

What is stratified sampling ?

A

Where the population is divided into groups based on demographics and then a random sample is conducted within each group.

18
Q

What is the method on how to use stratified sampling ? (2)

A

1) calculate the number of members to be randomly sampled from each group
2) take a random sample from each group

19
Q

How would you calculate the number of members to be randomly sampled within each group when using stratified sampling ?

A

The proportion of a group that is sampled is equal to the proportion of the population that belong to that group

20
Q

What is an advantage of using stratified sampling ?

A

useful when very different groups of people within a population to make sure the data collected will still be representative of the population structure

21
Q

What is a disadvantage of using stratified sampling ?

A

groups may not be easy to select as the groups may overlap

22
Q

What is cluster sampling ?

A

This is when the population already falls into groups / clusters, a random number of these clusters are then selected to be sampled.

23
Q

What is the method on how to conduct cluster sampling ?

A

1) identify the clusters within the population
2) randomly select a number of clusters to use
3) use all the members in these selected clusters

24
Q

Give an advantage of using cluster sampling

A

easy to complete as well as inexpensive

25
Give a disadvantage of using cluster sampling
the clusters selected may not be representative of the entire population
26
What is quota sampling ?
When the population is split into groups and members of the population are selected until each quota is filled.
27
How would you conduct quota sampling ? (2)
1) calculate how many people you need from each group 2) select members from each group until the quota in each group is filled
28
What is an advantage of using quota sampling ?
useful when a sampling frame is not available
29
What is a disadvantage of using quota sampling ?
members sampled in each group to fill the quota do not have to be randomly sampled, thereby potentially creating a biased sample.
30
What is systematic sampling ?
Where the population is put into an ordered list and every nth member of this list is selected.
31
What is an advantage of using systematic sampling ?
can be performed quickly by a computer
32
What is a disadvantage of using systematic sampling ?
could miss out members of the population with differing characteristics so not be representative.
33
What is an advantage of using primary data ?
tailored to your specific needs
34
What is a disadvantage of using primary data ?
costly and time consuming
35
What is an advantage of using secondary data ?
cheap and not time consuming
36
What is a disadvantage of using secondary data ? (2)
may be outdated and not be specific to your needs.
37
What is an advantage of using continuous quantitative data ?
easy to interpret numerical continuous data.
38
What is a disadvantage of using continuous quantitative data ?
potentially large amounts of different data which can be hard to organise and analyse.
39
What is an advantage of using discrete quantitative data ?
easy to organise and analyse
40
What is a disadvantage of using discrete quantitative data ?
averages may be decimals
41
What is an advantage of using qualitative data ?
can express the feelings of the group and so be much more constructive and helpful
42
What is a disadvantage of using qualitative data ?
time consuming for large sample sizes and often difficult to interpret.