Psych 5-ucsb-fall 2011-lecture-chapter3

Psych 5-ucsb-fall 2011-lecture-chapter3 - today 0 Brief...

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Unformatted text preview: today 0 Brief Review 0 The Average Joe Workout 0 Measures 0‘ central undency (Ch 3) What are the characters“: of these dlSlflbUflOflS.’ centraltendency Representing a dustnbution in terms of mule value. Problem is how do you define what value best represents the enure distribution? I l ‘ ' I H I 1)‘.i.’.. MIWN central tendency 0 Definnlon 0 A 3mm: flu: alas :. undo score as the most typical or mos: representative 0' the cum.- dumbwon of scores. warm-up: Mean 0 The mean is simple the amhmeoc average of all scores 0 How (optic DcM- "V‘ld‘h' vdy-p ».v~ . 2.3 :v 1" grid 1 Han mean: it’s Greek to me o 10-. :n; 141:4 ‘2’ :vph-vvrdnwhn" " .Y;»‘(§". air-Int ” ' n o ._ .I “ 9 :.-~. jv(.--r. c a» "-2. ".1 hr I luv.“ - V o .s '.>.‘.‘Ja.c " 2i . . Lmuva example 0 Furs: step 0 pl “'0 :u; 0 Change detection 0 :vy.rc W‘I’bir‘p «H... ->.‘v 0 Dan 0 5.4.6.183. L14. I.7.S example 0 Scores (X)=S.4.6.7.8.9.I.J.4.I.7.S O n - l2 0 Step lth X's l L\ 54960708990203-4.1°7¢5 :63 0 Step 7: P99 mo tarma- :( LY V‘ r . I -5 example .‘w . a wxr-a‘ ‘ "l ’ I .n 2" ‘ ' ll ' l I. l 2 LP. 1‘ a. weighted mean 0 Sometimes we want to average two sample mean: together. but don't have all the individual scones. If the n's are the same we average the means. if not we compute a weighted mean. 2; In H (mama: pup: nhh ' hr!" ‘l .‘vl v :gfix: Va.- Iqu 1...”: . - I: n - u 11-“ than u-- we “H HI (IO M mar-5 “an _ _ v r. u. III—I" ** ~~‘ ' m In”... ' hl-Tl v .—4 '. “m‘ U o I 1 e e I I v a I n'uuuui‘ninnn .1. 0 Change: Hod-fl or men I [ample : new score f" “' o [fleet Change the mean . oops-7”“ | ...> 5 u. oWhy? T. D OOPS! Mned : score 7 .. ... . how does the mean change? 0 Change:qu (or . Dump“ subtracting) a constant to :Z- :<- catch more - . . 0 Met: crunch H by dug ' 2‘ each score constant .-_. t . g . K I V ) how does the mean change? 0 Change: Hubpiy (0r 0 Example dmdcluchsco'c by: 32" ‘V constant ~ - ' 0 Net: change: M by . "9”".2 “m mulcpkymg (or cmdng) -‘ ‘ " :hu sane constant T. v " . Q. - l llllit'lllonnu limitations of the mean 0 The mean .5 scrotum to 0 Example extreme scores :3“ “' stepping it up: Median o The median is the save that divides the scores of the distribution in half 0 ’ twig»: median: when n is odd \u-un (\I III median: when n is even \u-vn ((-\fl median: tied scores Scares: I.2.2.3.4.4.4_4.4.S c There Is a Lie (repented atom) at the 50% point. X=4 0 What do we do? 0 Two 090003 0 Text red-0d (box countrg] O Fnd :hc median mare Interpoianon Use thus median with interpolation I, kid a cumulative ch able X f cf (X S I IO IOO 4 5 9 9° 1 find m 3 I 4 40 F1ch falls 2 2 3 30 I I I I0 3.Follo~v Svstcp —— .nzerpolanOn moan interpolation -‘ I. Find the "term! thl’. :ontzms the desired score ‘- '- § V .nyr w: in 1.7»- 4 ‘ .(fr iul I'l ‘l N". 2. Craphncaly rectum: the known: and unknowns In the problem I.C% m _ :0 ".L‘. 1x 1 fl “'1. "I interpolation (X x 1" a’. J. Corona: known Widths 4. 50M: ‘or the unknown and distance: on the lines distance 2 .4? - MOI-1v) UM". curv- punt. ....,- ave. nxo. I( 1:" iuvulltv aura - 2240- c i ‘- : 'I'rv') «yo-u.) v Cl’ 0- )2- Juan: n:- - a. UWI) 4w ml .52: W‘s“: 5.50M ‘ot myX 7'1. -'a' la in .unr u; I’VZI 'duru: '1. (\-X.' l.' median using text method Scores: L2. 2.3. 4. 4. 4. 4. 4. 5 n...- I ‘vqwr. - ’IK!‘-;"?\ -—1 “nu-s , .‘ lrdLuanv'xn I LDJ‘. l'r rv'k' x :w - ‘ In (hr '2. rd :' '.'I’ I It 9"" ‘4j , 4 l'flp‘l’ Pr r- "‘2" 1‘ [M . can ' '. :u::n;nr:.‘r;n*u' I I I ' ‘ ‘ . n m u~;b~ uv fl Dut- ffi‘: 1 w a“; A i' Id: ‘1: tun— vul r: '.l \ . , lI-IJ "n1 --;o how does the median change! ken: lil ll Lou “mu-scum “an cool-down: Mode 0 The mode is the scare or categoq that has the highest frequency 0 How to get it 0 :~,. a»: .untv "A vtv'u-v r. «rah -am -. ;;e’.‘| v'ul (hp. 0 The mode is the score or categoq that has the highest frequency what’s the mode X f cf c% 5 I I0 100 » 4 5 9 90 3 l 4 40 2 2 3 30 0 Alchough dumb-mom on have only one mean and on» one medan. they can have more than one mode central tendency 0 How do we choose Much measure to use? choosing your measure ' hm... n’x 12.“.An o w '4". u. b rhlrul Aunt-u O Cons . Abun va-v-v run .o- \ovuvr .h «hum 0 NJ. you:- I. .vvln --u‘ \a' I” J «at .‘duzrv-lul q .1..— ...- vw'hl'rfl choosing your measure 0 .a'l'l‘ad 5‘ ‘II’D"I urn .- m“: :av 51.»; o :r 5- ..nc u-PII 1-. ’nadb' I.: :c (-2.1; 1‘ .‘o‘ out: «a. ~n..u; 0 Com 0 231:4 u: u' ro'vu an s V1.0 -bn- ll "nun "v pun. u: 7.. v.1! choosing your measure 0 Mode 0 Pro: 0 ""0- rr tvv O :L‘ :- _u< c-f )I ctalsau 0Com 0 \u v.» u vrvo Ow- -n-'gv-w relationships between measures m .b. .( um I." M Iod- How ham w Ian. M w hw~wzma J's-um h:':.'.-r. “nu-N: ;' -v.'<o 2' ‘r‘rs-J :a "9:11 2 a an. 1i:':.:-ri Hut-"tar relationships between measures was Ibo- “ a... b M ’ul-tdl- up—e: d"."¢.iu's '.:I-“o:u'-‘Ma‘ \vpv‘ \tm O'-'>.~~OI MFS‘Mq-t‘hw ...
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Psych 5-ucsb-fall 2011-lecture-chapter3 - today 0 Brief...

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