BUSS1020 Lecture Notes - Lecture 9: Null Hypothesis, Statistical Parameter, Statistic

• School: University of Sydney
• Department: Business Studies
• Course: BUSS1020
• Professor: Erick Li

Document Summary

Buss1020 lecture 9 notes (cid:858)hypothesis testi(cid:374)g o(cid:374)e a(cid:373)ple(cid:859) Hypothesis testing is at the heart of all scientific enquiry. The basis of the modern scientific method is that a theory should lead to questions or claims or predictions that can be tested. The most common way to test such hypotheses is via empirical methods (i. e. data) A hypothesis is a claim, often about a population parameter. Examples of population mean: the mean monthly phone bill is = , a cereal packets mean weight is 500 grams. Examples of population proportion: telst(cid:396)a(cid:859)s (cid:373)a(cid:396)ket sha(cid:396)e p(cid:396)opo(cid:396)tio(cid:374) i(cid:374) (cid:373)o(cid:271)ile pho(cid:374)e (cid:272)usto(cid:373)e(cid:396)s, , is g(cid:396)eate(cid:396) than 0. 5, t least (cid:1005)(cid:1004)% of co(cid:272)a cola(cid:859)s (cid:272)usto(cid:373)e(cid:396)s (cid:449)ill e(cid:374)joy thei(cid:396) (cid:374)e(cid:449) (cid:271)(cid:396)a(cid:374)d of (cid:272)oke. Example: the average diameter of a manufactured bolt is 30mm ((cid:882): = 30) Is always about a population parameter, not about a sample statistic. States a default or status quo claim or assertion.