Final Exam study guide

# Final Exam study guide - Final Exam 5tuc_|1 ﬁy'gg Beiow...

This preview shows pages 1–3. Sign up to view the full content.

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Final Exam 5tuc_|1 ﬁy'gg Beiow is e non-tachaust'i're list of topics d1at will likely he tested in some form on the fin-El Exam. Note that just homo-so a topic does not app-ear here does not: MEET! that it wifl not be on the ﬁnal. DEpite d1is. the topic below are among the most important ones t". at have been ooliiercd. All necessary formulas and tables wilt be ptouidedl The "Statistics organiser" on p. Ell-523 is an excellent overview of everything in the boolc. [Ine important thing to lrnow about the ﬁnal is that mamI of the qucaﬁons will beaten irons [acorns 1 through 3 [although their might be slightly- modiﬁed], so tool: o‘trer those exams and their answer Frey-s. In addition; the stud-f guides for Exams limo-ugh 3 will be useful for preparirrEt-or the ﬁnal. Chapter 1 K." ow two at samples and populations are. and the relationship between sample statistics and population parameters I- El-e familiar with the concept of sam pling error :- Eta able to icenrtfy independent [or no ass-Independent“; van ables and dependent variables i Know ".hE scales of measurement and be able to riasslﬁ.I a variable :noo one of U'tE sci les Chapoer 2 e- Be able to Ionic at a freq-J I:an dietriasuﬁnn table. histogram, bar graph, or freCuenc-g pol-lrgrsn and i.-.tt,-rpr\q_vt what information is contaioed therein II- inc-ow the corn r-Ion shapes of diso'ibvtions I:st metric, pooi tivol'r or neg-“Ilivnhl Jami-Nod] tjhapwr 3 -- tindersta ncl the purpose of ﬁnding a measure of central tendenc'g.r II- Be able to ﬁnd the mean, media n.a.'::l.11o-cle.‘or a set of scores II- Know which measure of oertral tc-ncienor is preferred in diilexcrlt situations Chaptcrd - Understa nd the purpose of finding a measure of spread or variability II- Be able to find 55, standard deviation is. or]. and varia no: is} on] tore sampie or population Clippiﬂ 5 a- nr: anle rn 1"nci a .WJIII'F- based on a “air score anc the rreari anc so of a set o: scores -- Kr.ow wcat “for-113:0" Is conta ned n a z-rscore — Be able to é"cud a raw score tI-T-SIZC on o .- sro'c and the Wear: and SCI rI" -'I so? of soorcs I BI;- ahlc: tn :rarI-j.'o:rrl some}. Irom one some. Lo nautiwr osing : tours-n ﬂit.- Know that recon-es that are close to zero {central} are c=ose the mean a-4o twerefore are representative of a population inr mmplcl. .1an that tr-o'tn that are in'threr from ten: tamer-rel. are iar front E1: WEE-i.“ and not reurest-ntutit-r- of :: raunc-Intinn lor samplel 5-}: I- ltnowwi'uat the moan and SDot a set oi : scores alwa'rs is Chapter is - Know how to ﬁnd the probability oF an event occurring based on frequencies - Knowwhatrandom sampling is I- Uncierstand the relationship between probabi-‘it'f'. trcquonn', and area in graphs 1- Be ahlptn ﬁnd the pmtlahili'q' of certain scones being sampled based on more: and LE:1’-_- normal distribution [that is, knew how to use the Unit N orma! Fable in the hat}: of the book] i understand that in a normal Elstn'htlﬁﬂr'l g-scnres that: ans- close tn Jern have higher freriuenc-f [and therefore higher probabii told. and those that are fat From zero have lower Freq uonog' (and lhcrtlm r- lﬂwur pink-"bills? L'hapter'i‘ [Even though the list 5mm- is she-rt, this chapter is the rnch'. important one to understanding how hypothesis 1151: mrki '- bin-aw what a sampling distribution ofn-ieens ie i Know what the expect-rd veiue dfthe mean is. - mm»... whatthe emeerd error efthe mean is. and what it leltt- you - Knuwwha: mu ices. suncard error bigger and smaller | Undergiand 1.2 Law of Lrenji: Mamba-rs and haw it"s. relade to sampling error and standard isl'rﬁl' an,- uhleto ﬁred :5: peobahiiibr o.‘ certain temple means etulrr‘fr'e batted art z-smnzs timi' the normal dittﬁbuﬁen [That is, lmow how to use the Uni: Ndrmai Tattle in the Didi i3me bunk:- Cha pters - UI'IIIIEFEE-"E wit-g h'fFIG-ti'lﬁis tests are done a Undcrudtuﬁ :ne purpcse and FII'L‘ICEd ore at etch of the fee stem of hypothesis tEEtii'LE 1. Starve the null E.'.-'_'i alternative l'rypﬂthcoi: F. :--::i the crime! t-alueei the Lib-at slalirst'ii: 3. F=--.d the observed value ofthe test slenst i:_ Decide wt: ha: 3:0 reiecl. :Jie- iiuli hypdthbsis ur nn: 5. Drawa cancusiﬂﬂ based on your decision in step ‘1 and The SHIT-DIE means -- Understanc whata :rit'ical value tells Wu o Lindersteed what facldr‘t mate the observed vaiue of the test statistic :12 in this chapter] get baggerbr srnbiler «- Know til-a: aim I and Type II ems: oontepteal hr and hi: thief-user tontrﬂrlr what M EITDFS “ﬂuid he in a Speciﬁc tesuzfth design - Knowwhat perm-er it. and what makes pmh'ergtr up and dawn Itihagzl‘ter'iiI . under-weer what a sinele sample design is, and what klnd ofnuil t't'euu’leiit is tested in that: tituE-Tittnt - Be able to d .etinguisr. between when a rtm't sheuid be |:II:r-"l'I-‘I'I'Iei'—i and When a l 105': SHGUid he PEI'i'Orl'I‘Il-iii - Be able to pee-form :i single-sample t—tett. ind udine el‘. five ereps :- Unde'stend wth l'atbsrs make the observed value 6i ﬂ'ietEst Sﬁlti'sﬁc lE in this IIi'IEFIIEF] act WEE?!" 0F Email” Cha enter 1-3] o Undersea-1d what. or. inéependent 'ttll'l1piES design is. end what ltlnd df null hypothesis is tested in these titeadttea in Be able toI per form an independent-samples t-tt‘tir inductee 3" iitE tit-“Pt .- unnereena what rem. -. make :‘ne abscrvcd eelue of the test stulihtiLif in this chapter] eat Hitter-Dr Sinai-“Er Ci’..!'.:-'.L:i ‘ ‘ . 'Jrﬁcrgjanvj whdl’. .1. related garnplm. design is_ arm whu'. kiwi 01' ".L:|| i'rlrpntt'rsi". is ﬂawed in these 'tillit-‘It'tﬂr'lﬁ I ee :'_r.i|-:: 'tu Wren-m a relarea HdrltpiES t test. ineluo-re all ‘Ne stern I. Unﬂfirrltafld wha‘l [rt-mm :r. maﬁa mi {Ibslllr'eF-I‘i '4'2':IJE Elf the 1133!. 'eldiiﬁi'ili if in This theotwl Hat bigger UFSF'Ull-L‘r a Understand were this. kind err tlz-st it: rnd-te pmvel'll'. than u:- iridede edent-serrpleet l-Lest Chapter 1.2 - '.J ndorstené IJ-e purpose ot‘ trial-tine estimates 0 Be able 1.; generabea pdirll etdrnate - Be able to generati- an interval estimate iusinga formula] - Know what testers make inhequ eed matﬁ narrower and wider Cha pter 15l- understned what: kinds etdme'gns are appwrtﬁate for an anel'r‘tikﬁi M'ﬁt'ial'lCE WNW-Q]; Mid What kind Uiﬂu" i'l'iI'|3"3'ii"li-'5iTL i" tat-ted in Lime :terabions Understand why an run-ow. ls peit'ormed insbead ofmultiple t—tests Understand that the .F-ratio is a traction with a uariante in the nu memos-r and another Ira dance in the denominator Know what tat-tors nsalce the :1 umelator and denominator of me F—Iatio get bigger or smaller Be able to perform an snow, including all Five steps Be able to putthe results of an ANU'JA in a sermon nr tab-II: understand why pun-5'. lie-3:1; are needed after rejecting the nulE h-rlpoth-si-susing F - Be. able to pen-Em Tuke-lr's HSEI post-tart and be abie to draw conclusions based on I: Chapter 1|! :- H am: a gonorai sons: of NIH“ is Factorial design it. - Knuwwhat a main effect it and we. at i': tests -- Know- what an interaction is i be able to perform a factorial AT-IEI'IJ'P. El'erote.r 15 e Understand what kind; ni reenanch queetinnr. it. re .1 pprnpriate For con-upon up; a correlation - Be able to create a Iscatterplot and Interore: die Information In a starterpmr -- Be able to compute Pearson'sr i Know what Pearson'sr tells you. and what uses :here are for torreSations en El: atllc tEI ca I11,- aura l'nf'pnthotil; test using Manson's r General thirgs to know -- be able to disongulsh bameer tee general goals of destriptive and Inferanbal statistical bechniques i Know wit-Ir hypothesis tests are done: Because sampling error can make is look li ice something systematic Is happening when there is nothing happening, I: Be able to diawa correct conclusion based on a hypothesis test. This means that you should know.- whether the test tells you iFone group is different from another, whether there is a relationship betwee’r m variables. etc. I have or! eruen.I answer keg.r tr:ed ED moo el what proper tontlu-sions look like. In add room. when you draw: :onclus-on, make itcni’orrnatlve! That is. say which ﬁlo-up soc-II: higher on lower, or if the relationship is positive or negative. etc. -- Be able to pic's: this right. test statistic for a particular research design: (.I I3- i”:- lf you are oarr-pari nil, one sample's moon to some known population mesa, use a singie-sarrple z— or t—test: use I only if the population SDI's kn-awn lf'p'ou are comparing two independent samp! es' means to one anoier, use an independent-sampler. t—test rf'lrou are oompari ngtwo related samplE' means to one anoth er. use a related-samples t—te_r.t II'-_.-ou are eompari mg the means from th ree or more groe ps Lo one Lane-thee. use a one meter snow. il's'uu ullllllxilﬁ1piﬂ:i‘|§ll‘llll :‘Ieurl in .I lent-.1rl:h-:Er".i5n w'll'l LII-m Factor-5. LIE-:- u lnﬂqriu' ANOVA i.‘ Luz-I- ' e examining the ions-hi5: be'. two au an .'e variables. use the correlaten roe ...
View Full Document

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern