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Population
and
Sampling
POPULATION
The entire group you want to draw conclusions about.
SAMPLE
Smaller group of individuals you will collect data from.
The more precisely you
define your population, the
easier it will be to gather a
representative sample.
Consider how you select a
sample from this
population.
•Sample is selected
using random
methods
•Mainly used in
quantitative
research
•Also called the
Random Sampling
Method
•Sample is selected
in a non-random
way
•Used in qualitative
and quantitative
research
•Also known as the
Purposive Sampling
Method
Population and Sampling.pptx
Population and Sampling.pptx
Population and Sampling.pptx
Population and Sampling.pptx
Population and Sampling.pptx

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Population and Sampling.pptx

  • 2. POPULATION The entire group you want to draw conclusions about. SAMPLE Smaller group of individuals you will collect data from.
  • 3. The more precisely you define your population, the easier it will be to gather a representative sample.
  • 4.
  • 5.
  • 6.
  • 7. Consider how you select a sample from this population.
  • 8.
  • 9. •Sample is selected using random methods •Mainly used in quantitative research •Also called the Random Sampling Method •Sample is selected in a non-random way •Used in qualitative and quantitative research •Also known as the Purposive Sampling Method

Notes de l'éditeur

  1. To select a sample , there are
  2. To select a sample, there are two main approaches: Probability
  3. To select a sample, there are two main approaches: Probability and non….
  4. To select a sample, there are two main approaches: Probability
  5. Probability is selecting randomly from the whole population. Simple Random Sampling - simply select completely at random from the whole population Stratified Sampling – you divide the population into subgroups and draw a random sample (sample MALE AND FEMALE) Cluster sampling – divide into clusters then select a cluster at random
  6. To select a sample, there are two main approaches: Probability