sampling/ data Flashcards

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
Q

Give a disadvantage of using cluster sampling

A

the clusters selected may not be representative of the entire population

26
Q

What is quota sampling ?

A

When the population is split into groups and members of the population are selected until each quota is filled.

27
Q

How would you conduct quota sampling ? (2)

A

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
Q

What is an advantage of using quota sampling ?

A

useful when a sampling frame is not available

29
Q

What is a disadvantage of using quota sampling ?

A

members sampled in each group to fill the quota do not have to be randomly sampled, thereby potentially creating a biased sample.

30
Q

What is systematic sampling ?

A

Where the population is put into an ordered list and every nth member of this list is selected.

31
Q

What is an advantage of using systematic sampling ?

A

can be performed quickly by a computer

32
Q

What is a disadvantage of using systematic sampling ?

A

could miss out members of the population with differing characteristics so not be representative.

33
Q

What is an advantage of using primary data ?

A

tailored to your specific needs

34
Q

What is a disadvantage of using primary data ?

A

costly and time consuming

35
Q

What is an advantage of using secondary data ?

A

cheap and not time consuming

36
Q

What is a disadvantage of using secondary data ? (2)

A

may be outdated and not be specific to your needs.

37
Q

What is an advantage of using continuous quantitative data ?

A

easy to interpret numerical continuous data.

38
Q

What is a disadvantage of using continuous quantitative data ?

A

potentially large amounts of different data which can be hard to organise and analyse.

39
Q

What is an advantage of using discrete quantitative data ?

A

easy to organise and analyse

40
Q

What is a disadvantage of using discrete quantitative data ?

A

averages may be decimals

41
Q

What is an advantage of using qualitative data ?

A

can express the feelings of the group and so be much more constructive and helpful

42
Q

What is a disadvantage of using qualitative data ?

A

time consuming for large sample sizes and often difficult to interpret.