stat511ch2slidespart1

stat511ch2slidespart1 - STAT/MATH Sn: ProLaLLHHrZ Ckkfwz:...

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Unformatted text preview: STAT/MATH Sn: ProLaLLHHrZ Ckkfwz: Pro‘oa‘o;‘{+1 is "+th measure. O'C one‘s bake-P -|-l,\aL+ «L ~Fu+wre (radon) even‘l' Lulu oCcur. _.A random even'l' is one. wLose occurrence canno‘l' be. Predic‘l'ed wi'l'la cer‘hfn'l‘x. "' However) we cam omen “Mb-5+an +Lfi lonfl'ruy‘ rela’five -Fre_1u€—V\°I (PFOFOV-‘Horo a"? +imes Hae, even-P will occur in a; long series 0-? +ria.\s. Examgles o-F anclom (wards ® T095 0'? (L bugle».an 901‘“ @ Gain/‘09; 0-? +149. Dow Iones s+ock index C3) Mass m5 a. ramlomly _ seleclrul Fax ‘HcJe. 'From on. oer-11in Forulm‘h‘on Tites o-C Proquili'l'x Dfl-Cini'HonS ® Subled'ive. AEEroaLr—L 1 ® Ram-five, Frgfluenci Affluent-L: @ Axiomaj'ic AEEFOALL: Def-a: A random exterimen'l’ is +Le Frocess by wkicln om o‘oserwd’ion is male. gimtle Excumt‘e: we re.” a; fossiLly balanced all! cowl rec.ch H19. ou‘i’c-OMQ. DE‘FN. An ou+come («‘59 cane;ch a. SCUM ‘9. Baird-3 (5 fig. Par-Haular Test-1H“ o-C am exPex-imcn'i‘. I * l ' +come “ 1-” EXAM ‘Q. Consmltr HA9. cu. , W Red“ is He. Fro ‘omL; “+7 U‘c +Lu's oufmme? K8\a.+ive Frail uencz A Etrcaclfl ._ No+€ : 'TLU‘S rah-Hue -pre1uenc7 Arr”:ch is reasonable 0L0! H' is ross'do‘e, +0 concave o-p Marv, ikn‘l’EQaLl refej’ifions 0'? “at cxfer'umevd. N°+€= I—F Aie 'is koJamcul) PUD; " Su-FFDSQ Ou+ 0'? SO ‘bSSQSJ we oL+l1ine4 [12 “1'55. Conalusion? “IS £MEDSS.IL|Q +0 39:" no 1'5 in 5-0 +0585 0": 0L Lam‘a-KCLJ die? —I$ +kis unkkelz? *Our‘ Lonalusién is an inference locus“! 0“ k . 2. . '5 3931' N o+¢L+io n —— We. use Calai‘hLI le'HUS +0 Jane'l'e $e+5 0-; ?oir\+$ (roin'hi are, 0u+¢omcs m our use). - Exmmr‘c l 1 Examtlc 1(4) : B -- Tken : A Venn Dhakame an 3rqPL'I simfde. seis. E xaumfle. 1 ‘ 1'? C- : 'Hnan: DEC“: Tke unfon 0-? A camel B (dend'eA A U is -H\e, 56+" 0-? 0L“ Polrd’S in A g: in B E; in \oo'Hn. 'Decn: Tke (flamed-I'm mC A MA 8. _ (dead-LA A n B) is He. se+ o-F all Pom‘l‘s in A :10! in B (s'mul'hneously). Excmfle 10°31 In PrevRous cxmmple) A n B = EX‘W‘E\C 10"): In PreVIot-GS LXGLMPIEJ B m C '-'—' B U C -'= Data: 1-? A is cu SLLLSQ+ a; S, +Lt comflzmed' m0 A (deno‘l‘QO‘ K is 44¢ 59:“ 0-? Foln‘i‘s Had" are, in 5 land” A “01- in Venn 133quch : N 0+2, .' Dec“: Se-l-S A «RA B are mu+uqllz QXclusive, (er difioifiw i‘c A n B = —Mu‘\’uqu7 exdusive 5915 have no Poi-1+3 in common. Venn Diagram: Die -' rouing exqmtlc: S : Le+ A = ire“ numLer less Hum 3 E LQJI' B = { roll oaU» hankerz Le+ : Stroll even numLu-E c A05: ADC-'— AUC: A = . -— ck are mu+uauy eXcLJ-SIUE A cumA A anal C? B AAA C? W D "s'frfloud'ive. LMUS I DeMorjom‘s LAM-15 i Venn Dimfimms: ...
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This note was uploaded on 12/13/2011 for the course STAT 511 taught by Professor Hitchcock during the Fall '11 term at South Carolina.

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stat511ch2slidespart1 - STAT/MATH Sn: ProLaLLHHrZ Ckkfwz:...

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