Chapter 1 - Sampling Flashcards
What is Simple Random Sampling?
Where every member of a population has an equal chance of being selected.
What is Systematic Sampling?
Where samples are chosen at regular intervals in an ordered list.
What is Stratified Sampling?
Where the population is divided into groups and a Simple Random Sample is chosen from each group.
Formula used for Systematic Sampling
K= Population Size/Sample Size
What is Quota Sampling?
Where a population is divided into groups via characteristics and the interviewer selects the sampling units.
Opportunity Sampling
Where a sample is taken from people who are available at the time of study, who meet the criteria.
What is Quantitative Data?
Numerical values.
What is Discrete Data?
Specific values e.g. Shoe Size.
What is Continuous Data?
Data that can be taken to any decimal value.
What is Qualitative Data?
Non - numerical data e.g. Colours.
3 Steps for supporting / disproving a conclusion in Large Data Set
State Geographical location, compare averages, and assess credibility (sample size.)
Method for Opportunity Sampling.
Standing outside specific area where suited participants are, then ask as many people to participate as possible, disregard any that don’t participate.
Method for Systematic Sampling.
Assign every sampling unit a number and then use K=Pop/Sam to decide intervals for sample size. Use random number generator to assign a start number and then begin the sample, using the intervals.
Method for Simple Random Sampling.
Assign every sampling unit a random number. Proceed to use a random number generator to pick the number of sampling units you require.
