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Lecture 9

STAT 2040 Lecture 9: Lecture #9 Statistics
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Department
Statistics
Course
STAT 2040
Professor
Jeremy Balka
Semester
Winter

Description
ntroduction Lectures main types of statistica e inference pro Translate queston of Interest Into hyp s teating. A h e test. bout paramet then carr -naos usefne when ve Stiga rekacions nips between variablky alternati hypothesis, a, is hypotesis researchur 's hopy to Show 3akea, research, hypothe 3 no of effect or no difference nwu hypothesis arven beneft of doubt start ness testim consists of H forunnlatma a nudi hypothesis CH alternative hyfethess Crta) Are based on research quashon of Aterear, e not on baerved Le doula. savup choos g calcula di appropriate test stansmc.Yalne oF test bused area Statrstt. 4 na ent of str of evidenca against mun hapatiesis, alue sta hync baaed on ery InterpreHAa results in context of prob at hand 9.3-Hypothesis Tests for Rp m hen 5 Known ass Named me distrb der pop Matta with kn value of p stian standard dev ath 9.3 ade -tt these s there ev dence that peop n ,n differs fr a hyp thes zed He M M here M represents mu h thesis represents h partne sized vai pap uatian and Me te est ouse cne of 3 a Hernati fed -Ha: M M. (one-sided tailed alternative) sided ctwo tautay alternative) a 3.2- Test Statistic muy distribute Hleads to appropriate test satistic to test tho M Mo /n) standard den Hon of bare ned valne of test teas ho man standard. hypothesizd The z test statistic he standard normal distributi hen San Pir popu Lotan and cate test statisH percp f observed -e of test statisti value from SA eth. nekur zero hat's f observed value is extreme ,say extreue evidence. agaast ide far be to be dered extr ntroduction Lectures main types of statistica e inference pro Translate queston of Interest Into hyp s teating. A h e test. bout paramet then carr -naos usefne when ve Stiga rekacions nips between variablky alternati hypothesis, a, is hypotesis researchur 's hopy to Show 3akea, research, hypothe 3 no of effect or no difference nwu hypothesis arven beneft of doubt start ness testim consists of H forunnlatma a nudi hypothesis CH alternative hyfethess Crta) Are based on research quashon of Aterear, e not on baerved Le doula. savup choos g calcula di appropriate test stansmc.Yalne oF test bused area Statrstt. 4 na ent of str of evidenca against mun hapatiesis, alue sta hync baaed on ery InterpreHAa results in context of prob at hand 9.3-Hypothesis Tests for Rp m hen 5 Known ass Named me distrb der pop Matta with kn value of p stian standard dev ath 9.3 ade -tt these s there ev dence that peop n ,n differs fr a hyp thes zed He M M here M represents mu h thesis represents h partne sized vai pap uatian and Me te est ouse cne of 3 a Hernati fed -Ha: M M. (one-sided tailed alternative) sided ctwo tautay alternative) a 3.2- Test Statistic muy distribute Hleads to appropriate test satistic to test tho M Mo /n) standard den Hon of bare ned valne of test teas ho man standard. hypothesizd The z test statistic he standard normal distributi hen San Pir popu Lotan and cate test statisH percp f observed -e of test statisti value from SA eth. nekur zero hat's f observed value is extreme ,say extreue evidence. agaast ide far be to be dered extrapp method ure ech thed Testi 3.3 Reyecto to deter es fo Alat step De 1. Decide of resecting often O.osy d is probab tito to be 2. Find appropriate. atnesis test thesis. ejection stanshe falls /divid point bet crtice e Val don't depend dependent cf ok. severe factors a 3,4 P ues to consideration h takes e off strength f evidence S the test statTS out as extreme as bserved. true. ewide Finding P nes valves of test stat evide ve Straw St p valne. of test further to left PC 2. a.S -interpret a decis need we ured Loe, before, carre t test a 5 aren Ho is True. Distributi of P v Nar ACMA a conti nav'ng ab bet enn O anda 1 distr nav defends M Ve mode ute to strong ergainst H O.Ol it H st tt tence. st tt hen to depende t severe -feactors H SA tude F differen e b t cfr drove eater la reuter Setup hypothesized app method ure ech thed Testi 3.3 Reyecto to deter es fo Alat step De 1. Decide of resecting often O.osy d is probab tito to be 2. Find appropriate. atnesis test thesis. ejection stanshe falls /divid point bet crtice e Val don't depend dependent cf ok. severe factors a 3,4 P ues to consideration h takes e off strength f evidence S the test st
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