MATH-130 Chapter Notes - Chapter 1: Confounding, Statistical Unit, Sampling Bias
16 Aug 2018
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2 steps: assign a random value to the seed. I(cid:374) the (cid:272)al(cid:272) put i(cid:374) a ra(cid:374)do(cid:373) (cid:374)u(cid:373)(cid:271)er the(cid:374) (cid:272)li(cid:272)k the (cid:862)store (cid:862) key, then press math, and scroll over to the probabibity menu and click. Pressing enter will store this value as the seed: randomly generate values. Cluster sampling is when items are drawn from population groups or clusters. Systematic sampling is when items are ordered and every x number item is. Happens when population is too spread out and unfeasible. Voluntary response sampling is used when media tries to engage the audience. Not a random sample not systematic, or well-defined, but simply convenient. Only acceptable if you cant provide a simple random sample. Stratified random sampling is when the population is divided up into groups. Stratified, cluster, systematic, and voluntary response sampling called strata then a simple random sample is drawn from each strata chosen to be included in the sample. Quantitative tells how much there is of something.
