Exam 1 - flew sets[Fall 2ti‘l tJ Exam tit Name General...

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Unformatted text preview: flew: sets [Fall 2ti‘l tJ} Exam tit Name: _ General instmctions: Write your name abet-to. Write atl HI'IS'I'I'EFS on these pages. For multoie-choiee items. circle your answer choice. If you change your answer. real-co i-t cteer what your final tihoice is. Ese sure to show any wont you did to some up with your answers so lean soot moonsequential math errors. It you tend to be messy. otease underline or out boxes around your answers [nevertheless please try to write neatlyl. There are 59 possible points; your score will he the peroontage at these poi-its that you earn. Good lucltl BART | thltultt'yia-choieaquestjehs; each Ewen-rs p_etnt Itrailue is indflted before the orohfl'i} For Ihis part of the test. for each question UliL'lDSE the one best answer each-ding It. 1} {2 points} flhoose the answer that host completes the analogy: It. stoo'str'c is to a samlote as a. an rarer-vatsoate is to an ordinal seal-e. iljrr it:- to n. ,fl a parameter is to speculation. d. a mean is to a standard donation. is. a variance is to a standard den-fatten. 2} [4 points} A population has .u — tit) and or = 15. [f you subtract titre points hrs-n etrerg.I score in the population. the Pl value For the new :n-aarr MEI be . and the new standard dmrietion will be _ a so; to '— e. as; s n. ; to t. ED: 3 it'CS 55; f5 9. 55: can't DDI'I'IpUlE o cl. fit]: 15 It. fit]: can't meme o 3] {2 points: The standard deviation ofthe sooros in the deputation X : [1. 3. ti. to} is closest to __. {You should 2. be able to do lhie‘. will-out serious computation] H.- ' o. 5 - _rno. ton-4 4] {2 points] P. distribution of scores hoop = on and o = B. tffour new scores of El) are added to this distribution {so H there are four more scores than there were originally}. the mean wilt _ _. {Notice that this question is not L about adding a constant! No oomoutations are needed here} (.._V'F‘ a. increase ‘ ' -' staytitesame b. doth'eose cl. can't be determirned 5} [2 points] A distributim'i of Seth es heap = EU and o' = 3. llfour new scores of EU are added to title distrihuiion [so L there are four more scores than there were edge-tally]. the standard delaahon will . {Notice that this question is not about adding a constant! No computations are needed here.) a. Increase c. stay.r the same IEE._ detatruau d. can‘t En: dtrlrhrttint-trl 5} [2 points] ”that ”in film Flr‘ “1F! standard donation DI a set of scores. depend on where the center is toasted? 5' a. Tea. beta-lusts the higher the mean. the higher the standard deviation. , “first, because yet: have to know the mean to calculate the standard deuteron. C? No. the size of the standard deviation is not affected by the location of the distribution. No. because the standard deviation only measures how the values differ from each other. not how they differ from the mean. @ fietermiuc the type ed measurement scale used in each of the situations described in quealiuns ?, FF. and 9. T] {1 point: Shirl sizevs sure classified as smelt, (“Quinn-I1 large. and extra large. a. nurninai c. lntcwsl éh. Drdinsl 94/ I1 relic iii {'1 point} A researcher measures current msn'isl status as married. never married. sin-arsed. widened. or n separated. 55. nnminal UK 1:. interval is. erclinel d. raI'Iu Si] {1 point] A psychologist measures the time it takes to complete a pmblarn-sehring task. I s. rutIrrIinel c. interval In ordinal 53;; relic r” PART II {shonmswsectlem each grcbiem'sfleinigelue is indicated beiere it-I _mplefl 10} {4 points} Pas-term the incliceferl mputetierrjsr the retina-wing four scores: X= {3 4: 6 _i'}. Li 3.12135: ri:iio1fi{psfifi; 1&4” n (119 ; I"I"- _ _“b / n. eiexr: 35sec .- 11} {4 points] Oi Hie followi'lg Four stalisfics — meglsn. men. standard deviation. and varigng —-I.I.rhiI:.h one is not Iii“? 1119 We. cemepmslly’? In $11ng We quesiicn. phase make it clear how the measure you‘ve chosen is 35 different from the others and new the other ihree are similar. {Meter Do not simply my that LII-ere are equeiiene I‘nr computing lhrcc o’r'ihose but not H19 olher. There Is mole than one correct answer; rims-rm preside [ml-5r we answer!) rt. . (“Mister we rrJ- recess-"Is: r_ flu! i’JrffieJi mflisrri [ F's“ .- ..I- , J RICH?“ “ENE-G l»"- s .'I Cd fin-LN. .’!-' _i1,--_'i':(-Is-e_-_r".:.«gkf fi'l'f-thi’u ”is ..‘-J iii-Uh _r .- lr.,..-x._-.i‘._i_i "iII__-: il’i-irsi [TH-'51 “fir-i Mir: i-flgrflu ill-[fill r_i oL' : “- Li. .(HEPEN‘MJI Hi _ Willi!" 1,1 _ I‘"l (If. ._,f[I.l' ' :J Jami :1 . EL. _l‘:l_<'- ___f #515 .I.1i1iir_.m m} Ls. -r I} - - I _ H I. . h —"E. In". i. -'_ ur'L-‘il ir':.¢"'.. rite-Ir? '- rfl'r'HH-j "1' "'-1'-“'"Iéf‘{¥_'ll"-i' "'I'r‘ M ifi-Iuik'iii-M. {1% '-.fr':_._££.a Jr; my: Ir): -'~-' ..' : '(i-i {‘14. .3551 iJ.,.:-i.l r -flr}.-s"-‘-Lv"i'c L. .{J ISL SUM-7L I392".TI"F§| -:.4I' -' -._'rr’_‘i LHHFMICIIIF- a-r‘ii‘i" '.' I" g;_- .-._:1»L :i Jt-i-LLJIW ,2. , .__..'j;_.-.. 'Ilef...) t;.-'..QL- , '-'-'~.r Answer [[ueslions 1? 13. and 14 based on the frequency pol'irgon at left by circli 9 true er false. {The snares intentiensili.r left offcf the x- axis. Ne mputemn Is needed— ur possible— here.) .--"'" |r 12: {1' point: True nri‘fs-iseei'l'he majority.I of scores are heisw the mean. I. a} 13} ['1 pnirltF‘T :e nr false: The majnril'y [if scores are helclw the median. .cr’ i 14} {1 pointl- me or false: The majority cf scores are below the vi .13 é; sml'E'L-‘I. The rrbeen efmie sampteie M= F. #91 I] rim-I1 F93 l _ 15} [7 points] The histogram and trequen-cy distrihuuun table betaw gives the scarce fora sample of D = 3i] quiz. i '1 9 B T E 5- If, 3 2 1 U AAA—*ANthhfl't-m 5 1t} quiz more El- {1} What Is me shape at this dimibufim? I i- I‘LE - “LA [MEI-39L {13¢ _'. {F I/ h. :1} How many of the quiz snares i-I this sample an: a m- higher? i” T3" t1 r- Vifr’Q'L‘Hi‘iflt-‘W'Mpf e E He / e. {1} What ie 1hr: made I:If ti-II'e eamph? |i {.1 .2" d. {2} What is the median UHF-I'm sample? "t. H j e. {2: What is the beet meewre at nentml tendencyfirthis sample? Please bl'iE'fiy' explain why you chase your HHS'I'I‘OEH‘. ' I I' . ' l - 'L h 'tL INC-flewfi | ru‘ {ME-:2»: mated.) 4m be» :1". rI=..(_I.'wr.-'Af_ m rm I I f ,, - =3 . _ I'— . _ . ' IITItLfl_-.-.;;tu l}_._L_1,__i_' flair fléiu ”LE-erL-J‘ “71:2, 1-'. LIL I . -L_ {‘1 - _I. .. “*th vet .ttt. I'mt- we; I3: III-Inter her-e (LI-tee: “I rafl. m, .J.. t at HEIIIILK LL. nib-I {Gig-fl Er]; _E-|_L'1 L..1v"|. I_fl‘ fur ELI”!- flmqflk‘! ‘b'll' HI 1B} {9 pct-EMS} Furthe- fellewi'Ig Population denotes: 13, '13, 9, 12. I2. 13 I". [5 . 0‘ a. {ZiFaIdthemean. 1!» flu 1,31% m l I? ‘_f:$_ i1 1/ i a. . _ - ._ i I. '. I I _| T' b- [2] FIrI-d the medmn. - . __ $5 1 ' IE] V], 't Ilia: C. {1} I Hid III1’:r:I1I:]I:5E.‘=. If: 13 IE fl. [4}Crfl'nl1ufe RE. 1113 wariqngg [.53). '1 '_* - '1 I! |_:"- _ [)1 SI:.. and the etandaq'd defiet‘mn {a}. ' i.“ it; t5) Tel“; rta/ rr'W if“ 1T} {15 points} Consider the teHewing hypothetical study: .I'mdlelegtets have recently developer! a rehabilitation program for hearing-impaired patients in a pangram for senior citizens. It sample of the 30 residents et a iii particular senlor citizens home was recruited; haFf of the residents were randomly assigned to go through the rehahiilation program. and the other hell did nol. After four weeks. the seniors were diagnosed for degree and type ofhearitg lees. which was coded as follows: 1 = hear un‘thin normal limits, 2 = high-frequeney hearing loss 3 = mild toss, 4 = miid-m-moderate lose. 5 = moderate lose. 6 = moderate4o-severe loss. and i' = severe-to- profound loss. {gutter sec-res fl Er here_!} The date are as fellows: oehab:12231f4lld'4555555 mnlrul:1233455556fifi5’fi? a. {2] Which is Ihie. a true experiment or a quasi-experiment? Explain why you retese your answer. 2.. vii HAUL. fittest... Elfin: '. |_IF'|-I'LL..I-'.+ Elite Lust; i r1 - he ”errant: ['.‘LLL H-L-"nLi-i-Ila-aua. .:J_x'_, .-._'.-.;.| t'. 324-: rfi'fii. . ,f/ b. {2: What is the independent {or quasi-independent} nariab'le in this experiment _ {- . . - _ .-. -l'r.~:- ..~- 1" jLLL [.134 Fit-a5... .ruf \s't’l' . - '.-r'- - . "- ' - "I u ' I {{LLE‘agfijLn L ' ." .-'--4I' -'._ f-+ r‘" e. [2} What scale at measurement is the independent {or qusl—tndEpendent} variants measured on? _ nfiwumxk r“! “ff—“'1' I1 {2} Wlta1 is the dependent Iu‘arlehle in this study, and how is it measured? {ix—L’éfik-Hi. [UN—i 'i‘fiH-I "3b" I'LL-ext'ar- mitt-7h" a. [El What scale of measurement hWemtent veriehte measured on? Briefly exp-tale your answer. - “r r , J 1’: .. .t - Emit-1.31 fir e1 .4! . lets U? tr.- rnjgl , LA. 1. . ; -." J. -- ' est .. -*’ . ‘ii‘v ‘i'ei r"Jt.'.I..1-I£ .Ififl-U- 'i 'I'“ i ' ' ' I " I‘l‘l'i hi; "Pl ' exam h_I!itii-*U-"t ("i L; 5.5-"; '31:: f, It Fulfil .- —. .. 552 1; 134- r“: i I.“ k -'. trait. r:r.: (TBA '51de t veil ‘ |...__-ir.swrs=...'i. 1' t_ {Slflrawafr'eqtlenw § poly-gonfrrfhe ‘1: rehabilitation group on the i.- graph at right; then. on II'IE: semegreph,dra1rra _ _.—_ —".__ ——.-.——--——————‘— irequmey poh'gon for the __... eontma group [that is. the T35!“ r»,- r F«.el LPG BTW-m fhfii didn’t get the '_ I reiwhiiifation treatment]. WW . USE a solid line for the “I.“ .‘I i! ‘..9- Email; .:_' t 0113b grown. and a 3 Jr‘— dashed line for the control group {orjust males sure that I earn teil 1«thieh is whieh somehewt}. FF- {2} DUES '1 flPPL-“dr ”II-1E Eitfi rehabilitation is hfilpiul‘! Amsweryes or no. and then explain briefly why.- 1Jeep shoes ’2; Wu'a'mw' lit-‘- flurfi-ec teem, at. (’1‘. 1a.“. tori t1 Frail; J: e Let. «r L I * ' 7-~ \«r""' II; {fit-it. E "I r E- - i'C-sLtiLrfil fir-“.1. twt'm‘iCJ more; [xii-“J a -—u»-:J. - _J been.“ -"~ -- - Ii (1 J -' p . {Uni-:h- r Tries-I" I L.{ {EL‘w-CilJr'LT-L‘ {-‘iLAJL krill-qt-‘f Jr.- l'r .'I-:' '5_wi_—£_. ‘t' a _1x .1. .. ..- .._|-.. ' } ‘ 3:: and ...
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