Year 1 Statistics- Chapter 1: Data Collection, Advantages and Disadvantages

1. ... of a sample: The data may not be as accurate, The sample may not be large enough to give information about small sub-groups of the population (13)
2. ... of a sample: Less time consuming and expensive than a census, Fewer people have to respond, Less data to process than in a census (10)
4. ... of stratified sampling: Sample accurately reflects the population structure, Guarantees proportional representation of groups within a population (10)
5. ... of systematic sampling: A sampling frame is needed, It can introduce bias if the sampling frame is not random (13)
6. ... of systematic sampling: Simple and quick to use, Suitable for large samples and large populations (10)
10. ... of opportunity sampling: East to carry out, Inexpensive (10)

2. ... of simple random sampling: Free of bias, Easy and cheap to implement for small populations and small samples, Each sampling unit has a known and equal chance of selection (10)
3. ... of quota sampling: Allows a small sample to still be representative of the population, No sampling frame required, Quick, easy and inexpensive, Allows for easy comparison between different groups within the population (10)
8. ... of a census: It should give a completely accurate result (10)
9. ... of quota sampling: Non-random sampling can introduce bias, Population must be divided into groups, which can be costly or inaccurate, Increasing scope of study increases number of groups, which adds time and expense, Non-responses aren't recorded (13)

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