STT 212 Chapter Notes - Chapter 1: Sampling Error, Dependent And Independent Variables, Simple Random Sample
4 Feb 2017
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Statistics converting data into useful information by collecting, summarizing, and introduction interpreting data. Identify population and information that we are interested in. Sometimes sampling is a more efficient statistical method if the population size is too large. Sample must be representative of the population: exploratory data analysis - summarize the data in graphical and numerical displays, probability. Determine how the sample results might differ from the population as a whole a(cid:374)d fi(cid:374)d a way to accurately portray the sa(cid:373)ple"s results as representative for the population. Inference using what we know about the sample, we can draw conclusions about the population. Confounding effects on a response variable cannot be distinguished from one another (generally a hidden variable is the real cause) Types of sampling: two types of sampling designs. Non-probability sampling should be avoided because it will not produce a representative sample (volunteer samples, convenience samples) Probability sampling the method of selection uses some form of random selection: sampling methods.
