HSS 2381 Lecture Notes - Lecture 2: Central Limit Theorem, The Bell Curve, Qualitative Property
Document Summary
Types of data: qualitative data: non-numerical, examples of quantitative data, discrete data: integers. When rolling dice; there are no decimal places: continuous: when there"s decimal points; the numbers continue. Continuous vs. discrete data: histograms: usually discrete data, smooth curves: usually continuous data, the continuous data can be represented as a function. Levels of measurement: nominal & ordinal: qualitative. Study design types: study: you can undertake; a protocol; that uses observed data, and is readily available, experiment: you have to start from scratch; determine the cause & effect relationship. Sampling: random sample: equal shot at being selected, ex. Bingo, the lottery: allocate random numbers to people; ask the computer to draw a random number; those are the patients being selected. Sampling: cluster sample: choosing a sample that is a subgroup; the clusters are choosing randomly. Systematic sampling: choose based on order/number, there"s a system, choose every 2nd, 3rd, 4th, etc.
