What are the different types of sampling ?
- Simple random sampling
- Opportunity sampling
- Systematic sampling
- Stratified sampling
- Quota sampling
- Cluster sampling
Define ‘simple random sampling’ ?
A procedure where every possible sample ( of a given size ) has an equal chance of being selected
Define ‘opportunity sampling’ ?
It involves choosing corespondents based upon their availability and convenience
Define ‘systematic sampling’ ?
It involves taking participants at regular intervals from a list of the population, with the starting point chosen at random
Define ‘stratified sampling’ ?
It involves splitting the population into groups based on factors relevant to the research, then random sampling from each group in proportion to the size of that group
Define ‘quota sampling’ ?
It involves splitting the population into groups based on factors relevant to the research, then opportunity sampling from each group until a required number of participants are found
Define ‘cluster sampling’ ?
It involves splitting the population into clusters based on convenience, then randomly choosing some clusters to study further
What are the advantages and disadvantages of simple random sampling ?
- Produces an unbiased sample
- Hard to do in practise. Needs a list of the entire population and everybody to respond. It is also time consuming and expensive.
What are the advantages and disadvantages of Systematic sampling ?
- Avoids unwanted clustering of data. Practically easier than using random number generators.
- Needs a list of the entire population. Less random than simple random as no longer independent.
What are the advantages and disadvantages of Stratified sampling ?
- Produces a sample representative over the factors identified
- Needs a list of the entire population with additional information about each member. Time consuming and expensive. Determining with factors to consider is not always obvious
What are the advantages and disadvantages of Cluster sampling ?
- Cheaper and easier than other random methods
- Less accurate than other random methods - clusters may not be representative
What are the advantages and disadvantages of Opportunity sampling ?
- Cheap and convenient
- May introduce bias and not be generalisable
What are the advantages and disadvantages of Quota sampling ?
- Ensures the sample is representative over the factors identified
- May introduce bias and not be generalisable
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1) Proof and mathematical communication11
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2) Indices and Surds11
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3) Quadratic functions0
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4) Polynomials0
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5) Using Graphs11
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6) Coordinate Geometry0
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7) Logarithms0
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8) Exponential models11
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9) Binomial Expansion7
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10) Trigonometric functions21
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11) Triangle Geometry6
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12) Vectors15
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13) Differentiation9
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14) Applications of differentiation0
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15) Integration0
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16) Working with data35
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17) Probability14
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18) Statistical hypothesis testing13
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19) Introduction to Kinematics14
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20) Motion with constant acceleration4
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21) Force and motion8
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22) Objects in Contact10
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2.1 ) Proof20
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2.2 ) Functions21
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3.2 ) Further transformations of graphs9
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4.2 ) Sequences and Series0
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5.2 ) Rational functions and partial fractions8
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6.2 ) General Binomial Expansion2
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7.2 ) Radian measure16
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8.2 ) Further Trigonometry12
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9.2 ) Calculus of exponential and trigonometric functions12
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10.2 ) Further differentiation13
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11.2 ) Further integration techniques9
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12.2 ) Further applications of calculus18
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13.2 ) Differenital Equations0
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14.2 ) Numerical solutions of equations0
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15.2 ) Numerical integration0
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16.2 ) Conditional probability10
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17.2 ) The normal distribution14
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18.2 ) Further hypothesis testing14
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19.2 ) Applications of vectors0
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20.2 ) Projectiles0
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21.1 ) Forces in context0
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22.2 ) Moments0
