# data[].attributes.body
1.30, male runners, in sheffield
2. sampled
3.Stratified Sampling
4.B
5.No,Can be difficult to identify subgroups as pre-existing information about population needed to identify subgroups that smaller scale researchers do not always have
6.BCA
7.BC
8.May not be representative due to chance · Need to pick from the whole of the population which may take time and cost money
9.Cheap · Easy · Minimal resources required
10.Cluster Sampling

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Look at the picture of your group's sampling strategy. Use the picture to explain what you think the strategy involves.

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Look at the picture of your group's sampling strategy. Use the picture to explain what you think the strategy involves.

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Open the worksheet and add your group's answers

# data[].attributes.subject
Open the worksheet and add your group's answers

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Group 1 - Research Context 1

Group 2 - Research Context 2

Group 3 - Research Context 3

Group 4 - Research Context 4

Group 5 - Research Context 1

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Answer all of the questions as a group as quickly as possible

# data[].attributes.subject
Answer all of the questions as a group as quickly as possible

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1. male runners who has fitbits above 30 in Sheffield
2. sampled
3. stratified sampling
4. B
5. yes
6. B
7. B
8.  random sampling may not be representative
9. cost less
10. cluster sampling

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Participants are all volunteered to do the research.
Advantage: does not need to cost any money
Disadvantage: people who volunteered might not be the group of people that the researcher wants. And they might not cooperate pretty well because they are not paid.

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The population is divided into several large groups, and then several groups are randomly selected from these large groups, and all individuals in these groups are investigated.

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Individuals are selected at fixed intervals according to the number of participants needed.

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choose a range and pick a random sample from that

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Age
Gender
Income
Region

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Its advantages are convenience and saving money;
The disadvantages are that the sampling error is greater than random sampling, and the sample distribution is not wide.

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1.This research method is generally universal
2.easy to carry on
3.This method can estimate the general characteristics of a group

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Divided the whole population into several subgroups by the different features or characters, and then select the samples from subgroups randomly

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the conclusion may not be representative

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1.sheffield-based male runners aged from 30
2.sample
3.cluster sampling
4. b
5.
6. a

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8. Disadvantage：May not be representative due to chance
Need to pick from the whole of the population which may take time and cost money
9. Cheap,Easy,Minimal resources required
10.cluster sampling

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1. sheffield- based male runners, aged 30+
2. sheffield- based
3.  Cluster sampling : geographical  areas
4. b
5. no， the aged range is too small （no 40+）
6： why not use 600 divide by 12?
7:C

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1. male runners who are above age of 30
2. selected
3. cluster sampling
4. b
5.
6. a
7.c
8.