GPHY 247 Lecture 2: STATS 2 Populations, samples and units
18 Jan 2016
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Document Summary
What is statistics: statistics is the science of learning from data and of measuring, controlling, and communicating uncertainty; and thereby provides the navigation essential from controlling the course of scientific and societal advances. Example: sampling unit: house, statistical population: all house (ones that we are interested in, sample: randomly selected houses, observation unit: a person in the house, measurement variable: height, measurement unit: cm. Key ideas: descriptive statistics: an attribute of the data in your sample. Thursday, january 7, 2016: inferential statistics process (philosophy) used to derive conclusions about statistical population based on your sample. Thursday, january 7, 2016: measurement unit: categorical (none) 2. 1 simple random sampling: ideal sampling process. Units have known and non-zero probability of being included in your sample: not just people readily available. Unbiased: sample cannot have a systematic difference from the true population, units are equally likely to be included.
