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Primary Data
Information you yourself collect, by asking people, measuring, or carrying out experiments.
Secondary Data
Information that has been collected already, such as from books or the internet.
Qualitative Data
Data that is descriptive and opinion-based and thus cannot be quantified.
Quantitative Data
Data that can be quantified and shown in a diagram such as measurements and figures.
Discrete Data
Numerical data that can’t be shown in decimals.
Continuous Data
Numerical data that can be shown in decimals.
Sample
Part of the data
Population
All of the data
Data collection cycle
Specify the problem
Collect data
Process and represent data
Interpret data
Appropriation formula
(data point / sample size) x population size
The assumption made when appropriating
The sample is representative of the population.
Random sampling
When each piece of data has an equal chance of being selected.
Random sampling methods
Assign every piece of data a number. Pick the numbers at random (e.g. out of a hat)
Assign every piece of data a number. Use the random number generator on your calculator to pick a number at random.
Stratified sampling
Dividing the population into groups (stratas) so that when a sample is taken, the number of data points taken from each group is proportional to their strata size.
Strata sample size formula
(size of strata / sample population) x total population
Capture-recapture strategy
The fraction of (tagged on recapture / total recapture amount) is equivalent to (original tagged amount / total population)
Assumptions made when using capture-recapture
The population did not change between capture and recapture
No marks/tags were removed
The marked group mixed thoroughly with the population