Types of Data.
Quantitative: Numerical- Discrete-( able to count),
Bivariate- discrete and continuous.
Convenient Sampling- Anyone. Easy. Biased.
Quota Sampling- People have to be a certain type. Easy. Biased.
Cluster Sampling- Split into clusters then chosen at random. Easy. Biased.
Systematic Sampling- Picking a random number. To pick 10 out of 30 we chose every 3rd number. Easy. Biased- Order Of List.
GENERATING RANDOM NUMBERS:
Shift Ran# (100)_Produces a random number.
Random Sample- every member has an equal chance at getting chosen.
Stratefied smapling- two way table.
Strata size x Sample size Population
Primary Data- Data collected by yourself. Relevent and accurate. Expensive and a long time.
Secondry- Not collected yourself. Quick and Cheap. Not always relevent or accurate.
Collect-Surveys: Questionaires. - Interviews. - Observations.
Questionaires- Designed to obtain data. Short, simple, closed questions. -Response Boxes. - Must have a time scale and not include or or or .
Telephone- Expensive and a bad response.
Postal- Cheap but lacks replies.
Face to Face- Expensive in time and money.
Email- Cheap and lack of response.
Control Groups- Test the effect.
Data Logging- Recored electronically.
Capture and Recapture-20 birds captured and tagged, recapture 100 birds 10 of them tagged.
10/100=20/n n- unknown population.
0.1= 20/n x n = 200.