MATH 1F92 Lecture Notes - Lecture 6: Null Hypothesis, Statistical Hypothesis Testing, Standard Deviation
18 Mar 2017
School
Department
Course
Professor
Document Summary
On the radio, on television, from friends, and even on certain websites, we hear about certain claims. (cid:862)did (cid:455)ou k(cid:374)o(cid:449), the a(cid:448)e(cid:396)age a(cid:373)e(cid:396)i(cid:272)a(cid:374) spends on average on clothes i(cid:374) a (cid:455)ea(cid:396)(cid:863) (cid:862)5(cid:1004)% of e(cid:448)e(cid:396)(cid:455) (cid:373)a(cid:396)(cid:396)iage e(cid:374)ds i(cid:374) Di(cid:448)o(cid:396)(cid:272)e. (cid:863) (cid:862)o(cid:374) a(cid:448)e(cid:396)age, e(cid:448)e(cid:396)(cid:455) (cid:1005)(cid:1004) se(cid:272)o(cid:374)ds a (cid:373)a(cid:374) is thi(cid:374)ki(cid:374)g a(cid:271)out se(cid:454)(cid:863) The problem is that sometimes; claims are made with absolutely 0 evidentiary support behind them. Think about back in grade 4 (or whenever it was) when you had to do the science fair. You had to do a certain number of steps, one of which was a hypothesis- a statement regarding a characteristic of 1+ pops. A very big component of statistics, is being able to test different hypotheses to see if they are valid or not! Hypothesis testing: a procedure, based on sample evidence and probability used to test statements (or claims) regarding a characteristic of one or more population.
