Statistics_21_-_Fall_2002_-_Purves_-_Midterm_1

Statistics_21_-_Fall_2002_-_Purves_-_Midterm_1 - Statistics...

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Unformatted text preview: Statistics 1'] Fall 21m: l_:-L'fint 'FHJIJJJIJIJE. Si gn Enur namel Ifi'fifltIIDEJL iahfime Midterm I T1: get full credit. yml mum give prawns andfur shew wurk. Scum: "H 5mm, Mfrl d FALL I211- WINE, 3 Mr. l‘un‘es {5} 1- The quetetinn helew eemee Emu-L an article in the New Turk Tintee nf Tuesday, Set: tenther 24, 20112. Putting a Premium en Helmete MetereyeJieL-‘nwheth net wee: _ . helmet-.1 have. nmeh highet'lmepitaut " ' ' - ' east-.1 If they el'aahflnn muse whu wear them. it new study I133 taunt]. I‘ The flmtlnge. the hum-11's any. guggen uptme heel”: rueth Int Hates tu reunIe riders tn weer _ .hlmetfl. Etntea thaI. eJlew mlil Dr- flycliais LEI ddeuanteetefl Ht'llauld require them 1!} [may hJeher Ins-ur- enee premiums. me sttlfly sage ' The sturdy. reported ill-thEI eur- r'ent fame nr The Jm|11tflllili Trial:- me. exam Inert the esse' et Elli-mu- tereyeJiele adnfittred be me Unit-EE- Iain.r LIE 1-11-fl11gtm Heesth Syslem teem 1BBE te Elli)", . although [tilehteemeuuu'ee 1-th- er'e tn weer helmets. 13 percent er the 1_1_1.j med maturity-enema hml IL-:'IL were them,fl1e refieerehere reuud. .1111: helmeflese I'ldet's whee else Legallkely tetra-JueuJ-efl. me study- found. ' ' The Jmeital euul R in: thwfil‘ not :ivenring hummus averumti $131? :- mere flaunt ‘iE,t||]I2I higher then the average [er patteute who jut-:1 1m urn Emmet-5.7m eel-5t ur In-petimll treatment at relumllitetm eentere was aJse higher in: thtee 'FhEl hen amt were hut-1mm; “f..- lain: Frem the study [at leeet as deeeeibed in the article}, it 5-1: when: had net wurn helmets ihrurred preteetlen elf e helmet. True er Eelee, and exp weu‘ld he eerreet tn rene'lude that Lhe 15" the mgner I‘LflE-pItfll celebs beeeuee their.r lacked the Fmie'e. Sllrtig‘i'ma' is at? etaserthfml' in“ ad? met e J'fi’fidltt‘i'jéf‘i- "fewer; whee r ’r 1 fr , WW ‘5' E’KFFFLW J; 415- ILIM all {:2 fiflhgfluhdlmfi‘g‘tmfis (1+ WGFKW FIE-firth new PM?— withflfikttefeefi 2 me ewe-45mm tainted we in emcee! “If i I wflum '3 55mm 4+1EI+ “Ithflfie L'Jhe Hufe w':1£1hw'f' {-«Ea'tfle 3 wettch heal h: Hilde HSHee heheu'e’er ehd WI, drive {mtg-r; ;hEp~Lg_r~flr. H; tgrj-Pee:fl eefafemi; main? Redd "te. L113 J" hUEPI'I'cIIr Cealljt with ehwi‘thfltfit ghee-eh {5] 1. Canaan-re: erganizatiena are cencernecl about the amount at debt University etudente carry an their credit cards- An article in thc San Pranciacc Chrurlicle at December 23, Eflfll, preaented the feflcwing graph: f-‘amfirrl' heartbeat: crap-ewe .wlr'nfr Dar-153's of malt cards nffiuu'mls mn- carrya balance aw mam I'J Til-3‘3] 19$; E'D't-l'u. ' . _ . I . 15g 1“ tea . ' I. I I .129; I !- . E _._.B:I'Id curler-Ila. are gatthg ln'lfl subatantlal debt - ' | share IND-$545 area-Hat: setup-aim imam cunt-km- _ . gig-mu! mull]. mun” turret-uni _ . ba_rc:-pnnd- {cams-urn.“ {Ia-aunt"??? amt-Irm'a'. J'l'if um mammal-alga 5U:qu -i .. _. I. - _ FJL'auLfl'fllaNlE' Tme ur lame, and. explain: The graph ahawa Lhat if yeti compare a emaller' average balance and a larger crave, tn: example 5151) and WE“. there 15 net thaL much difference between the percerltage at students carrying the alrraJler aracunt arr-cl Lhe percent-age carrying the larger one. enf- L. Falja, TEL t’cllul—x amt-«.45 that Harris“ hct' Facet; agaranca- magenta- Palm-m: grad? 5 waah amaze :narr Elma-4 “Fl-wait}, earth-$5ij —$T—} inJcH—I Ha wearer“ 15E III Hitch calm ILa they??? at" they. wH‘lii $35733 few at E5? mfiarlgt—aatge than ‘eraje with @5er Sierra Ha Ifl’lrruaf t:ch TErDG?F$2.HC} la claw cm h» areal cf$15flfigdjm¥jnfl an alarm ,d r ' £9. a I tire e 13+? at: wtfirgaj'tl'lr-e 'rrtru L' “ I 'l E '5'". {LI—“’11 T3 gm lfi‘fycfiaffl-F Eflflir‘mdfl'rrf’ Uh agar-a e. H H Jed? 5 EfQFgfit'GfiE‘T‘D gr alaHa’r. (1D) 3- At fl-Le end 01‘ the fixer menth 111‘ a six mun’rh training pmgram. the partinjpantti were given a written examinatiun. The average EEDIE {L‘Iu’r of 'Iflfl} was 62 and thr. SD was 11.3. The EE'IH'EH fullflfi'fld_ihfl mmnal mnre rlnseljr. _—I—'—'— —___ percent er the seems were between T5 gang—fia'a ' 5%;st 955452 . H H E) - L‘ZVDs 'jjl—g—'P'FI1C}5E3_D5--' \ T Fill-3 ENE-“Fli- 5 are: LEE Jfflffb bed-“"59"! +lrffidfiJ+IrgSjii~H ‘ \f "LCQF 9}) — e" .- ~ n, :3; —_ __e- | . ca _ - . .. Ht: _-*__I|J I“ <—\ I. .- - II: (f) 7 2 . ‘5‘?) E Jr. " ‘-*‘ Illrfrlgxff’él- / _'_,__._\_ x. Lb} l-‘ind, appmxinmfielgrf‘ffig-fith perrenlile rt: e EEUIE'S. :5"! I {I EX:- r. I a. I I II _Z ECLH'JHIeH-IL {fly} J" “a '|-\_ _—I—'—'— ——\..__ “a -5 ,1 '{I E =__q_jjfig {1-Hffr'folld‘lli'nq :e1wfifIr-a 0-357 rm '34 Hg, és'HTPFmJHe 25 9+ “imam: ,/ K/d £33??? I “‘1 {3‘3 Us? 61‘ r 'I Hag-“3+9; fifth} / . 3593 my] 4.3 13, l {5] 4. [See the preceding pmhlem-) Anytime whu scared in the bufium 20% cm the wriiten examinafiflfi was drnpped fmm the. Frag-ram. Firm-.1I appmximately, the 435th permqfilgsfi-thnmms Wmmgm. A) f 33K. haw (“455' fiEflrgfirfllpfi w :> “T'- .__'_,—I— erPEdqfic IT E545 m 1"! / vapt P. Eh. an. 9 um: I' Hflweuyr Ha Lag-H"? Farce-dug M1 ' In fi-{kéflj‘ r _ 1 rap B 14 h I P19j—l'fl‘i'llfl EH”: §;n{"fi E -'_.:'- pFraflr FBDVD fl-{fg‘d NFC-15?; m B) 2.5 0.335;}!3591 {up 231/72,?‘113? A; 5 'fi'-.r.-. ' Err-1f? 'IH' fin TEDEIL-agcif’ ?2H:i r342. wffflm W. \ 3:: Emma 1:“; Wefiflnlcnlinu FEW-“£55 \ i ‘ J “3%; I mkuh , - . ' 'I'ltfl} Er. {$11! Find the currelaticrn CUEffiEiEl‘lt between 3: and y for the. flala bnlnw. . I Wfik} [ — .5 —I‘ g n “3% "— f :I It" '15 G {j {j C" '3 1 a m a _ m flu'bt) = fl—L—J—HE 2'3"; ti; 3‘5 I D . . Emmi-'3" _ Itflflftflfiw - GU _. fl_.,_._.__._ .... _.-. .. _ '— (E. L1 whim—u {-{II-r)‘ EH -__-F-Il—h-—u—__a. .. 3 DH) :. ("If"): flyflflafé égfifi _ n} L -__. 3 hr, .__ _ m R 1. — --- :4 E) ___L_ I =0a25; SM?) :3fo “33+”tfl-_tf1.tt:W332 #1 F}; fig: : —~~ '3 ‘3; {h} In the table belhw, circle the paints Ul'l the scatthr diagram that lit-.- heMw Hm «Fm IEHIEL-ifi-ifln line fnl- predicting 3r fmm '.~:- Explain F0111: chum-:5 h}; remaining 319:1]..41m ' I In. ' P 1 I (Jr-Etta: 'HL ff re551nnlhevfi+k 1&1; {3‘14 3:1} 'i‘E‘:}?filhlfl t; t: l‘l'r Ya“ In?” {#fl 55.2 um“ whim Fahd-12: tea beluwm FEjVEEE-fit it-E r (ill) 6. A gmwth etude fer men led he: the fellewing reelulte: average height at age if: = 46 inches, SD = 1.? inches Hirer-age height at age 18 = 5"!) incheeI SD — 2.5 inches currelatien coefficient = (ILHE The scatter die-gram is fuutbell EJ13me Due man in the etudy was 14:; inches {31] at age {5 and 'f-"l inches tall at age 13. {a} Llee the mgreeeien methuL'Hi Le predict his height at 13 frem his height at 13-- flirted: K Hib‘ in, i E_ It? -I.i-IEJDSHLM£IWH39 I I x\ 50 Lima-re HTE'D-QE‘:iSDedemejEuiflffi '3’ j, ____~II err“: {IE-infli- I), E; meg g. -,r!5?f_.- _g inthee. [4:] Use the regress-inn methecl to predict his height at E: fmm his height at 13. t n g [B hi {mi Kan—‘1“ , = 0. H305 atraemteaefef—we at - 5 “a ‘ flrfiur=fllqrfl35$ Digqfifljflbhfifflflgréfifflffiryb l' {3:351 ' LT: , 57%:qLau:e/J&reac fling! {3—} Jae-f \ he +0.5” 7e. Elie, 5 7-5;} x” IR .______ “it?! "Llfijflr i/(ermr jade ei '" fred‘kfe‘f: L $31?) id] The predictinn in {:1} i5 cm: by _lfiz‘g— inchm l—\—— _——- hat; ene midterm and a final examinetien- The eeette: diagram fer {5) F. A large dust: the twu exams: wee foethall shaped and ehewed a mederate peeiti-ire aeeefiien. 'l'wu percentiles are deeetihetl helew: J: {i] The ‘Elflth percentile uf the firm] examinatien scenes fer e whele clue-‘5. Lit} The 90th percentile et the fine! eeaminetien were; Lhe5e in the 4:13:55 whu eenred at the Eflth percentile en the Emiter‘E-L. It wmfld be maeenehle te guess the_1._t_____----" __ {fl is egpeHfi'fii-E. .HE smaller than {ii}- j". [e 15 larger then {ii}. Dr there is ne_t etleugh infnrmet'len te__malte Wk guess. Cheek {‘1'} nee efthe teur eptiem: eflzleveI fint'] LherL heck up yew: theiee Jim—"Ha" I'eeeening and er eeleulatEen- I \I II. / I If ' I' ." x FPI‘EFH'E .: I23 . “'15 “I: 5hr“. :31 rig-r ertghiI-jfie net-h: fine! [it-e tie tie :3 a: a wheelie. ‘f-leweerf, ’5 L-M-t'erI -H1 {1+ 4 Hf, fer re I'rr‘l' tn ELfi'Jl—Lufifi'r] bur. I' :3 mil {:hgi fig “Hitter-H. 13': Hell Error QIIFWJP‘HG'IL 3“: L? H jufi? i'iflrfig 50th [319:1 fn‘llil- a: 1M -MI'I£H€-'rrfi Lair-inltrunpetljd [1 E- F lhifi- , flag-“‘3'.- I - a , , ' 1" 1. SD ¥flrhil€ lhm-fl-f‘F-Hefii +1":- fil' Lethflffi (Jae-HIE, fl Jr -:}PW|GIUIFES‘§'!‘1£H.~HE Sb {En- Fluorine-j lune-tier, H” “SUM-q RWHHLTE m x a II ’1 _F;H_ “if I‘l—IL“ x h,- P I LT} ._.I 5 If; til-IIJ'I- rputhflag _ J + " I; ' 1t- LMH L1 Im- jEmea-“nuuj 3341.15 Wlflfl- .5 {Gr-ELI Lg H e If. l3..- Mfr—f“ - “" " P e jiflrg, L[ijj.3r ‘}L-,aHE-frflr-flbh byte-raga“ - r f be ifiLLEr'iffir"I"Ll-tjfl {FL}: 13"}; Tabla .4. 1991 F1 MM. TABLE. 3 H9136! Area 9-99 39-39 9 9.95 39.9.4 3-99 9.l9 39 69 2-9? 9. I5 39.45 11-92 9-29 39.19 15.35 9.25 33-61| 19-34 9. 39 39. 14 33. 53 9.3.5 37.52 11.31 9.49 39. 33 31 .93 9.45 36.95 34.13 9.59 35.31 39.2.9 9.55- .14.19 41.1".r 9.99 33.32 45.15 9.65 32.19 49 . 43 9.“.‘9 31.2.3 51.61 11.25 39.11 54.6":r 11.99 23 .92 51' .63 11.35 23.99 69.41| III .99 26.61 6.3.19 9.95 25 .4 | 65 .19 I .99 24.29 69.2'1' I .95 22 .99 1'9 .63 L19 Eli-'9 22.9? I .15 29.59 34 .99 I -29 I 9 .42 1'6 .99 I -25 I 3 .26 29.3? I .39 11'. 14 39.64 1-35 l6-94 93-39 1-49 £4.91| 33-35 1.45 13-94 35-29 I-59 L55 L69 1.65 1.35 1.39 1.35 1.95 2.99l 2.95 2.19 2.15 2.29 2.25 2.39 2.35 2.49 2 45 2-59- 2-55 2-69 2-65 2-39 2.35 2-39 3.35 2.99 2.95 Height 12.95 I299l 11.99 19.23 3.63 3.99 T 31 6 56 5.96 5-49 4.33 4.49 3.96 3.55 3. I? 3.33 1.52 2.34 1.4“ 1.25 | .54 1.36 1.19 1.94 9.91 9.29 9-69 9-69 9-51 44m: 96.64 9199' 99.94 99.11 91.99l 9| .99 92.9 1 93.5":I 94.26 94.99 95.45 95.96 96.43 96.34 99.22 99.56 93.36 93-I2 93.36 L'l'al' 9'7 911.16 1:11.91 mm 94.20 99.31 99.49 99.49 99.56 99.69 99.69 Height Emmi-11:} E Hriglrr Arm 3.99 9.449 99.1.16 3.95 9.391 99-371 .3 . 19 9. 32":r 99 .396 3.15 9. 219 99.33? 3.29 9.239. 99.363 3.25- 9.393 99.395 ' 3.39 9-132 99.993 3.35 9.146 99.919 3.49 9.123 99.933 3 .45 9.194 99.944 3.59 9.93'.II 99.953 3.55 9.993 99.96I 3 .69 9-961 99 .963 3.65 9.951 99.9'1'4 3.19 9-942 99.923 3.25 9.935 99.992 3.99 9.929 99.996 3.35 9.924 99.999 3.99 9.939 99.999 1 95 9.9I6 99.992 4. 99 9. 9 I 1- 99.9931 4. 95 9.91 I 99.9949 4. I9 9.999 99.9939 :1. I 3 9.991 44 .443? 4.29 9.996 99.9923 4.25 9.995 99-9979 4.39 9.994 99-9993 4.35 9.1993 99.9996 4.49 9.992 99.9939 4.45 9.992 99.9991 ...
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This note was uploaded on 08/27/2009 for the course STAT 21 taught by Professor Anderes during the Fall '08 term at Berkeley.

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Statistics_21_-_Fall_2002_-_Purves_-_Midterm_1 - Statistics...

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