29_20110323wed_stats_86728_p11

29_20110323wed_stats_86728_p11 - W — 8672 ‘ ‘ é w 3...

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Unformatted text preview: _ W —-. 8672-: ‘ ‘ __ é : w] 3,. ’03 “8‘4 awe 1, 3226?]? @D 56'“ HM“ Ca“ W3 Summarize Pussible Odcomrea 3:: "Their Probab} H165 :07. 2.618) —- ComeEh: (Reméw). [a Varlébieéu: TL: charamlen'fiiés we measure are caneot wring-195 (93‘ heé’d‘ W Shaw)“; “(3H3 a? mllef, hucfear radiaihéh levels) .eh...,') because, Hash- values Van! 94m eubd'ecmo psubje‘h [2] (Each Variable; : ("mink 0‘: Some QMMP‘EQ [fl Cam-Enact»; \(griable: (was; by; Some examples). Probabihk g. Probabifi-F {s a. (on “run “470,412,” _ Zenpmta‘ rub.) cm a. xl’na‘f'hema‘l'fignjvcdlrpufwl Frapcrhon (theorems flab.) Def‘f‘s (New)! [I] “’ANDOM VAfi’lABI—E c “A random Variabfe is a. numerical measurerme»? of the oo+come 4f 4. random {DhGnomenom Of‘fen/ fin: randomneas result-s From {but use cf random sampling or a randomtzecl expen'ment {0 Saner the deck. . ” E] 1%?3 Xi} h’rHe 7g. : Example )(= “number of} beach; in 3 Hairs . a? a coin” is a. random Variable)! whereas} 75,—. 2 ['5 one of H15 possible Values. L33 PROBMIMTY 9513815071033 “The «Pm-Db. chef. a-fv a. Fund. Var. gracifiés Cc») 3+5 17¢SSEbIe vanes and (b) the probabili'h; af Each Fossflflg Vaiue. I? is usual“? expressed in 0. TABLE. 3.a- Examgleu: X" Number of (5x2 9269) 30°" Bosh" 1 Nina. Home Ru "5 - %( +s Far ecu}: x : [:33 LE P . Pr“ [Q The MEAN o9 a Weaver. .23 0.38 0.22 .3 0. 13 4‘ 0.0.3 A: fine 309M 3c"t 5 o. O! fewer {ham 5 HR Gormore 0-00 .0 0 C43 PWb-DM- a? a. DlSCKETE. RAND. VAR. X takes on “separate Values ” __. ._ _ r .‘ '. . k o 6 PCxJé 1 i {Shame Quns I'm 2 Game, ed 5152:. (12.269). PM Prob 0 re. hes. anal / 1/ 4,5“ / > (we don’Jv use 3?) we use/u. (mm). 1:. 9.12. ) w‘m‘ck means - 131nm? the BcSox “average” [(59 Home Runs Per game. ...
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This note was uploaded on 12/30/2011 for the course STA 2023 taught by Professor Jones during the Spring '11 term at Tallahassee Community College.

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29_20110323wed_stats_86728_p11 - W — 8672 ‘ ‘ é w 3...

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