ࡱ> 7 )bjbjUU "H7|7|} }lzzz$4/(Vllll$W wzk|UllUUUlzlUUU7b:@zlJ 0Dd pz0/,7d7USMARTPsych SPSS Tutorial Binomial Test (Sign Test) in SPSS  Below Ive constructed a boxplot of the data in SPSS so that you can see how scores for the two conditions are distributed. (If you wanted to do this, you would start by selecting GRAPHS / BOXPLOT from the menu in SPSS. You would then do a simple boxplot of the separate variables music and nomusic.)  Well, you cant run a binomial test on these data until you create a variable that meets the binomial criteria. That is, you need to have a variable that identifies successes and failures. Here, lets use 0 to represent a failure (the students performance in the no music condition is better than performance in the music condition) and a 1 to represent a success (superior performance in the music condition). You may ask at this point, what do you do if the performance under the two conditions is equal? Well, the convention is to throw out cases in which this happens. Ideally, your measurement would be so sensitive that you would always have a difference between the scores, but if you dont, you usually reduce your sample size by the number of ties that you find. At this point, you will need to compute a new variable that is the difference between the two conditions. Well do this through the menu system, though you can do it through syntax. Start by selecting TRANSFORM / COMPUTE. You now want to compute a new variable (here I used diff) that is the score in the no music condition subtracted from the score in the music condition.  In this dialog box, you can click the variables over from the list to the left, and perform functions on them using the calculator. Notice that there are many functions from which to choose; here, were just doing simple subtraction. When you have your dialog box set up as above, click OK to run the command and to create a new variable. You can also click Paste to place the command into syntax (the best option if you are going to run the command more than once; e.g., if you had a data entry error earlier). Now, we need to make another variable that denotes successes (1) and failures (0). The best way to do this in SPSS is using the RECODE command. This feature allows you to take the values in one variable and recode them (either to the same or to a different variable). We want all values in the diff variable that are positive to be recoded as 1, and all values that are negative to be recoded as 0. We will exclude cases with a difference of 0. Select TRANSFORM / RECODE / INTO DIFFERENT VARIABLES from the menu in SPSS.  You will get the dialog box above. Click over the diff variable, because you want to recode it. The output variable, the new variable, well call outcome. You must click the CHANGE button for the new variable to be recoded. Now, select the values that you want to recode by clicking OLD AND NEW VARIABLES. You will get the dialog box that follows:  This box has the information you need already filled in appropriately. You want the old values of range 25 to 1 recoded as 0 (these are failures, representing the entire range of possible difference scores that would be failures). You also want 1 through 25 recoded as 1 for successes. Recode Else (which will only be the 0s) as system-missing, so that they will be excluded from the analysis. When your dialog box has the Old(New column filled in exactly as above, click Continue. Next, click OK to recode the variable. If OK is not highlighted, you probably need to click the Change button to indicate that you want the variable changed. Your new variable, outcome, should have 0s, 1s, and .s (representing system-missing) as values only. Now, youre ready to run your binomial test!!!  Notice that you can specify the test proportion (this is the same as p). Here, we are using .5, because if our null hypothesis is that there is no difference between conditions, we would expect half of the population to be successes, and half to be failures, by chance alone. Your test variable (the one on which you want to run the binomial test) is outcome. Click it over to the left, then click OK.  Your output is relatively simple. First, notice that your N is 23; this is because you had two cases in which there was no difference between conditions, which were removed from the analysis. There are 18 successes (78%) and 5 failures (22%). The significance (exact sig.) is the most interesting part here: it is .011. What does this mean? If there really were no difference between the conditions, you would obtain results as extreme as those you obtained (18 out of 23 successes, or failures) or more extreme 1.1% of the time. So, its unlikely that there is no difference between these two conditions. Lets check out the binomial probability calculator on the web to see if we get the same result:  HYPERLINK "http://faculty.vassar.edu/~lowry/binom_stats.html" http://faculty.vassar.edu/~lowry/binom_stats.html Your N here is 23; your k is 18, and p is .5. When you calculate the results, you find that the probability of 18 or more successes is 0.00531. If you multiply this by 2, you will get .011, the same result as in SPSS. Why is the value that the web calculator finds half of the SPSS value? The answer lies in the fact that SPSS gives a 2-tailed probability value. That is, SPSS gives you the probability of finding 18 or more successes or 18 or more failures (5 or fewer successes). Because the binomial distribution is symmetrical when p is .5, these two scenarios are equally likely. Normal Approximation to the Binomial As you know, you can use the normal approximation to the binomial distribution to find the probability that you would find a certain number of successes (or a more extreme number). To do this, you need to obtain a z score for the number of successes obtained (18 out of 23 trials). In order to do this, you need to know both the mean (expected value) and the standard deviation of the population. Mean = np = 23 * .5 = 11.5 Standard Deviation = sqrt (npq) = sqrt (23 * .5 * .5) = 2.40 Your z score is: 18 11.5 = 2.71 2.4 Looking at the probabilities under the normal curve in the back of your textbook, you will find that the probability of having this number of successes, or more, is .0034. This is relatively close to the .0053 value we found through the calculator. What if you were to use the correction for continuity? If you used the correction for continuity (which is typically used for samples of size N=20 or less), you would use the score of 17.5 (the lower real limit of the interval containing 18) in the calculation of your z-value. Here is what you would get: z score is: 17.5 11.5 = 2.50 2.4 The area under the normal curve beyond a z value beyond 2.5 is .0062. This is even closer to the value that we would expect. You can see that the normal approximation to the binomial distribution is a fairly accurate way of determining the probability of obtaining a certain number of successes. Now, its your turn to do a binomial test. The assignment begins on the following page. Assignment You have conducted a cognitive psychology experiment in which you are interested in how subjects react to being primed with a word that is relevant to the target word to which they respond. You measure their reaction time to the target word and obtain the following data: Subject Primed Not Primed 1 430 450 2 440 440 3 520 580 4 500 420 5 400 500 6 480 500 7 420 440 8 520 680 9 600 650 10 500 480 11 540 590 12 480 580 13 520 560 14 420 480 Now, you should determine if there is an effect of priming. Analyze and interpret the data. For extra credit, use the normal approximation to the binomial distribution in addition to your test. You should indicate: Whether or not there is an effect of priming (if so, the reaction time should be less for priming, indicating that they responded quicker in the primed condition). How you made your decision (what test you used, what was the likelihood of obtaining these results or those more extreme, etc.) Include your SPSS printout or hand calculations for the data. While studying for his statistics midterm, a UW student notices that his understanding of the concepts increases while he listens to Limp Bizkit. He wonders if other students would also benefit by listening to Limp Bizkit while they study stats. In order to decide if this intervention might work, he takes 25 students from his class who agree to be part of his study, and assigns each student to a no music condition and to a music condition (a within-subjects design); in the latter condition, Limp Bizkit is playing through a set of headphones that each student wears. In both conditions, students work through 25 difficult statistics problems. The data that are collected are the number of problems that are correct (out of 25) in each condition. These data appear to the left. Now that the study has been conducted, we would of course want to know if Limp Bizkit truly does make a difference in ones statistics performance. This can be accomplished (among other ways that you will discover later) with the BINOMIAL TEST (also known as the sign test) in SPSS. It appears that the median values are about the same for both conditions, though the Q1 and Q3 scores are higher in the music condition. Its difficult to determine if theres a difference without using a statistical test Select Analyze / Nonparametric Tests / Binomial. The dialog box to the left should then appear. ;<>?@AC\c `elsz{|~%.5=&_ r   : < »±ªª”xsnn»g`` B* CJph jHCJU B*ph B*ph335CJOJQJ\aJjD5CJOJQJU\aJ*j5CJOJQJU\aJmHnHu B*CJphf5B*CJ\ph33 B*CJph33CJj5CJ$U\j5CJU\mHnHu 5CJ$\ 5CJ\5B* CJ$\ph5B*CJ8\ph33$;<=>?Bwxyz}~&'K L  7$8$H$ $7$8$H$a$$a$&$$d!%d$&d!'d$N!O$P!Q$a$}$)        ! 1245 !6778$a$ 23Yw]r"#6TWX[jlqrsj5CJOJQJU\aJ*j5CJOJQJU\aJmHnHu6B* CJ]ph jVCJUjCJUmHnHu jB* CJph B* ph B* ph B* ph jCJU jjwCJU B* CJphCJ B* CJph3pqtu-.7$8$H$su<=|}~ln-+4 \]U ` u!|!~!!!!#j#n#{$}$% %O%Z%"&%&r&}&'')񤡤6]6CJ]aJCJaJaJ>*aJ >*B* ph>*B* CJph>*CJ >*B* ph6B* CJ]ph0JCJjCJU jCJU B* CJph B* CJphCJ5CJOJQJ\aJ8=ab\]T ` a t!u!!!!!!7$8$H$!!!!!! ""$"1">"?"####=${$|$}$s%t% ' '''( & F7$8$H$7$8$H$7$8$H$(((()))))))))))))))))) 5CJ\5B* CJ\phCJ 1h/ =!"#$%DDd&0  # AbDDko(נ˛ DDvnDko(נ˛PNG  IHDRMߏGsRGBCIDATx^}ifIUf/GTPyЂvw٭.[-D*Pġ[Xݦ`h?!/QQ1c>Y<;~v<#9[^1oa͸'x7ژ8]!v3_|N_AAΏ̈W{s\<]>}$$0y晢y+ZZv< 0f>@2u4y7oWA?n?{Cw{-euݻGÈE +js;c+y{ aW_~7a/_ۿ[/?2y~uzsY_wg{/~-կ%fٿk̔1|xE֝k_.g7X;;#>V_ɩ KϟD2~Cc#OGGU8 7ӁS[?N~0ok_9W|>|>}9s׳w>(sTxNv_s>t1~88{=d:?O_}'_$5,GOiqnύtPHw)?g?p?\g$t~O9!-MvaWV<'C>v^YE/ӄOu*\uZSwHSw"y +_]vZE/_9C}8HNL㍟JμI΋s:h}^s'Dr?鑜oAs?H"Ӽ|E$7"r?>v:M9ݦ&Ϥz๚0s:̉sn-ׇ̯HN [9-wQ܄[ԝ:OCrZӟy)C5&5mH~կat'4usZ|.FrZ~zNsא!\&D~;]gu ۳#A?1NǩL ?\ݘZ@`n?AK Ў@ #w8:mٜVF[qBUMm6ԚLwiO2Vb4![/c!]@f E֙F-$vLlG4R8>VŹ/Lk(hm{9 1!D&ƛ[ (1<-nAŔC+V.sgH_8&1tv ۡ/V8aC9bbio[yV,-?X#Ǚ8N3P_ ݫC"ebC9si4wQlcvFC2 &ӉU>"f:d˱f{EDe;ٴc4hQ]]1K[ECTcG%;1cM?tu/z=1#Hvk t׳bB~Xۄ(bC3g+}/ A:8#c)լ0?jP1b;vZ|%0/yRgwq|QWNjuDuj3KFa3󾪲m|FEpx˝\t?΋,~CFac~*A@@`w=11F(vG<݃#o[@x<ߧ|<38n<'{v<q@`g.//yU.@ ߎn#1,?osN#Rnj_2Ab6HAbar݈=紲hܻw v ɥ\c9=+myv!٨ ]p 0hLϻi_1*'L|!TP|3]X_?eCO?蝫' 9gჩ&w(%jqU[/s-j nݵ?WXw& EoNHIzw*זIn|z+%~7Ku]8vў?-ydu&P9Vܿ?3]Uv}WrL1j p<!1S+e<&1\~D3?c`0' |MݜsH{-ғ2^i++U᳸c,X ?}ZAkXs[-Cxs҂x]t0 9o>i5L`imWf)I0F2N-_wi=GGY?sD=wP$ј 3T,RE_sty^ h^3vNx];{f9Qp"|j{FT]x^W7.u#M̼"[:?FHJn+Gg㼝$vqrm5WG}:fs;MOeeHn/SsN[L+-}7 :h3{׃AO{9w|ː Pkğ>9[>taṟ5b[3tfa`{a {ѾB{>oLM\,:+lB _};@"2#yioJ1]kmo)׳,x~PgYC8lqnPWt\ *c9ky"FNѷL.*]Q=9-)cXmos8F0e"^9'9>ryz 5eoմ)y?JLLșnN#{-rL)Nɑ?3 9y{z~k.d^ys<<<[ip؄]p{-ɋtRߜKsvoT[t/ͭyrF3v{rIDågZ9Bqnd ܼQR!]~(|^@]p.d_/WyBu}Wu1p. mX\qG%ZE-  iX;@@` 0^TX~/u hLE~dhLyACTȚwIYHT]"RWvoG>Z~Oε0m^ιc'k][,=H.ك GC'GTj};h~8Os<ࢷJH; M:ʐEddPb:NaV}ioD]bEΛf]uR-{]s@`8t~j|װ=U۪Ze4UI|: pלs@}!m=?Ϙ6溢G9yQ zأ/Ln>冦@@ 捒 3WkXWvfj?GިF:F xf{3nokFsj Zn;q6@@.E H䙱}K~%6,\TިD4FjQٳ<+#K`_ס Z|B P5<7KtQ=˘; <י:*X ByN۩:~݅m}Kk2k͇%^ jtЁxÏ?~7JO[32TOK@ިn|Z|<xQ>ᶪ4Vu !ܼQ[3׵ђtoMrׄ B` cQ7tj9gkp`W@ &9lDlΐcYlc M\N0owӺFmAGm<ׁ/sΩ&DXlP;I&܍Ejc^.||= O7j_'| 9O20Z7Ej9r|M(QB.F#3Ov5޾y]@`85 Diϑ7THo*tkZУ<}F:<GQ;vXJ)S5 8(焹R$eLƽS8<EC 7KpZT"Jd>By.-Ʉf;?j ~E=CLryn/΅܇s/gznP[vZ$|By.g/j%9`Ư-B@(Y @̉E]mpQ͠ 4o Bcs FkR:Cr,-)KިEcZry_X$ Ktc @@% u>mAPe#oT?Q,Ey߻i`W#9F5::P۪Zs܇[I.\ڗZ)<ߴȇTf#)E<<X{]Z;O~]욏܁l9?* ݰSeSǕKBLD$D,O fI :T# }784=\Pq!ryvMόį ;+F@.ϫMTQ}$J@<H IE@(E'!\} o=nTNK(z9yFiurn:h͇5R"spA) %n@.["Q6m?daW#ϑ7#Q!LۚQy;AiB*=s܇kt s;iKRk~%vI3Btse8 {״Wj QC(υc8aibvI?s6Mi|V ?[<Mi5E\H09NrZ)ʋymkjkt,_.υsNn@A@.* z!W"s{~%vUYK5<8JZBvy kst \a!@(A}9#CijQD Z ƧŇފȃ]蘺CnjMW;qnU'A@`rynG%%HPC(y9$Ӛ_I]%G<kr_I™vaSj&t{ϳk+˩g*$4c؝DS23u*NojZW+'By'|lm y)b˃璽L7|c+qX̜J&bMvcvm5ByNv8?Vlـ JvSv?8@1&-PEG" #l p.s֞~By{~6îF#oT P GyC<Ľh5_9Fw Mn-U`W zTT FoQŵ=y?u</5A栟-qsIܜhy?uC#JAwW(nGsڔƇη ?m~"p բY(A} JJH%^j3!-tO) |TNUhd#x.?ji!as;o̧n4Wyڵ5Us'9kXZ(yHy5v 6j@Px+0E/$"yOm!+_ih!՜î\9_EXC%y@n@ i۷E;%<㐬an%kT|202-u =]S_)]f|X=(&B7@ 0U|(RE|_As @{㹔<X"P@Ѥ]t>rR4G&FŲI5ZT;^s(Jdr0FyӼQv#͖RQ.wwSD!Fw+*X{ p*|+ZT+,PEJ,|սZL󴵢ڪ:gP`1{m?K&0BLG"Sy<K.(E@s<NrLhK;+W#6sWiծjI*Od\Uk(5vI3]tPϻ!@@ B @{w}箛JZHFTsvF; XnsXC% U|hG\@{튶4 8Vq  m}p|$r&idbӻq y/*6Ӽݾvonc~5=)ih/I3v#9QU!dǩv0wM]S%mjh/ 3v#9Q|(jB@U< zh !x> j4!ϑ7j@Z*XYvUgU+J5Qˆd4 gOESKj[GI@35$#oTRZЛ_wJ~<Of"I|2w"og8/IλWu]BMoQJґ$_ցJKpXPVA( Z7*yW,^Y(g#&VV@<!**U y9-oA`W%pVTC%)_^^"oT:J(dȝ!yȯFt}sAdFE I|2'':j3%ieЎ{r)S4K>Qk3%1FߐH喘$ ߚi MڵCU%y,^+J⹏#1^7j9Nx{gX>ճּQ҆\ЬCrJVhbW6x>̶N>C[&>(6q>GOrrlFm<uNk~]fƵ`bX) $Qx2ֺJk~]m;;禮]ؿqjZWxvTv8 D\[axyƤ :3oA`W%p7ՊLP%B!y_F5# wiϑ7jɘ?-d`W;\Jv hE4qF1`WӰVN+e%|ӼQi ϯLt2(nBI<4o;؂{TqEx$LsoP"肀xBN2.>BYc,/%܇ޗ**>WZ.sgA6{ \mAs<)vIH#Qwjez5j㹽&p7<$D*Z+i͇5o$籼Q5+9w7ʯ5];RE@U<  E|(D ϑ7j@Z*XYvUgU+J5Q"g(GESKj[GI@35$#oTp۫0+Bri*]\P>9A+@`;&rk=|'tQ>vN(>O1IKoxίl^\ ֙ ϑ7j~?Em/0E-Ϸ Sa35s9hB m\Vsdͩ e 'rz_&J9H.cAQh恹7jQxQTJj@vo+e%%<"J+2@ϯԐHht!Fy=M\.&yM-]m <-ށܪ!KôH7pC"s9s9Y&E]UsU紫*oGmQ$&=$_@U緫$H',mUI <7jv+% P ڕ1_!oΩ!F1; L3%m7*f5[Gc@`w4}hG# @`=y9-oA`W%pVT~l@z&U4uDިuĽQȎ;_C9F]#R E䓙4vDh.4 H&5UujʹNúZ3RVi<_σyɤ滰.T]iXWk]σoJxtS¶Äx.VD!!hv2(Hՠ.PIU<+z@* y Aq$-$_|~J9H%Ax!FJ&̯K{(v "By0oT:dăɤRqsZZF5A8Px 0 E|(D ϑ7jL *3T)XY vUwS(UB(3Epޗ~qqQc{ zFs*n{™r`W&Pb|}v F4syo&K`ҥPC䍚9syIn/ ɝi'yZC䍚/ \~(**ڥDmlQCjP}˜~DՐJ!y0Eg6Qި`~ ƌ_%*iQ|Dms.9oʱ˙pf gⅶh;Lg9F ?P+rZނZ+JjE&7jxV@ h~yyQc( {#wsj}"R5tK*NW܏",q P4iO2>l"R]+!op—sߜ<7Jc$G(E= \ZP/cC@k XoVU@ &ew4@ Pxnp\k 1NeAU9%?_\\ oT::@pQyiy&[oLC @@7E$齏F%Niͯ|OA>,5_sIcɤe~K}t][5q-j_kqJ-+ǒ%fσxIۋ5R.df߶4"d}qf27!Źp?PT *;$UJsi rFmx\DttVMԖN?ogO&7}8hennWjLbZѾ޽{A<7JK2sS~]Āc~k;ڵ 3FС"|WAQ Pbv׋Rs R"ad/AYL^䍚2 "SgiՉ8>-> !$v5ngfqWs: C~\d/zIƎl}X<}8]ZB^+1ߓ)t)yWJq yΖ2Ƣ8)y~Ra6(A;ASG%הm| z (n-̃/Y"gJ{G{2EJCʄj4"K]8<E}[ _= */Ƀ8'')Cgŧ)` ݅7޷)8Kb6w)O˟pRzhW H1(Fy@!煀YeK?`{x~n  +-(N|c޾hLF< 8ӀY\q$%dy&("&L| ?X2VɄH{&gbb@ @͹`'HNuCQHGG0 l{QW~'m c}"PAr MbI[cZ1֨pN2{(8J|O"UP  n߾̓B`$T@G s28Wen9@ }?@HF`\nVC7 p:?o:+IENDB`VDdC 0  # A2y;o1^ q Ev`!y;o1^ q %40*txڝUMkQ=M>&UX"Xv+%*ʅtSҐ  *`p⢐_PW.Ѕt#̛GÛ{9{B(Ώ8.B?yeޮ*,9's7@j_Uy +=p,a8G"BBf4*T';%^9^?AQE+{W@'9 ɇ_i7w+IwKqwd|tg*yFGS4ΌZ[jǹxA|ܪ5ѡ'T<̧G۸Y02zPUBn -j's=eRvCY !󇢱6mF KSmCWC|۷y¹=\;EnxK7sKq㚓gLasvqEa\Ze̯ܢ 7S:VYrgdQ~)2W~14S ι)g1Jb|3eTg/j^_pgge0$՝~x}-4Q]+`IYFz71ֻN;ǀ8bع )VmΌ=0ty?ksR8L/DdI0  # Ab.~LZvk1j[.bHvn.~LZvk1j[PNG  IHDR', sRGB.EIDATx^˚&9q)]t_0,{g`Cwq 66;y%= aK蹒qtGWLBR,)zHe͋/>5<|t/z  &p{{׺K@A@~_}j7 m]^ُZG6Ú/]k}l#޷}z[>}Mx/sUZ~l%xWl{oݷZX]ȍ{y}gjI0?@YZ#;[}뭭W,  j''gAAǢ%ѧ߿OρCBO!ϓ/(ūr'$|&}#b߯I9 ~թI-WV\-ѡ_"}R4_#ϢB+k=oA?A?R~{"=@'Jw,_ۻ w^JkmIPB~2m~ϟ'~t՟ d#;>|HGg?˿`rq''}_ӿ${'ov>򗟾I2O;9X#ѧ>zD?EQ@$GL&[)N& IЏ.*4C?~s~ }٦cE FuOD o]5/jզ3$nJO> "@87 osxC~@_ra@5N5^ڦ>-Y~H+<牟BOWw~Yi} _ eJq]KKzD_F77K_X2/=?;A]s7}}[>SG!Cٳg?Ig<O,gO{w6I*ֶg i{(=yFI[Ԧ~g|_UGBʖ&t>ޘ\/;$0t_iBԱ*8L  EL o*#~&,b>@5-@1@@Zo@LoOj{¨xOV=:fqPz]6`iTA`Z&[?c C{ş>> `~WN mK8; ]d~W41j%nKo+%v98$jze{k8ddF0㤮i< Iw-Fy}9/<_$_EŊ3>qJQ_U@j| &,P{8LÇ,DzzYM>UBHƉ9(hkuV݇p?y竏 bUt^p`Omŋ<_y菝xhj XĊuz]~jџUG ?USh _7؇~xx4C9L{ ``%n[F(\Զhv?C;F+(J777Sk6g.B ?EEf@9!JZ)短0>GCo',-䝏[F&35 &w>s'Lؗ`t"Hje#d ŎFGSt@`yζtgc~[`>9> \a Fz}j1g|7 @ٓFa 4>9yg5X<;:?{ W&@A$={'WQuw2ƔN6nt3!P`  4-Ox.[AE87gϞX\6~*to%P,}[BAOi&/ 0ʽ, / % ik@c=?PU_H4 F>4bU{ {POWYw -d}]0Z {TI=oIie׭1/t (*ݸE89~}ɧ (xM辝J8 :ʪVeƍ'Z}~d(8,|[D~*  `$p/JE}nѫ9 r8т^̠K]7ơE1H}.l3e{g:<^igx2C#}޾x 'P%U/Jux܋Ot@dl$COU^.h@NLޣbk @p0 %@Y!zZg*,i4X彉^vHo5gUiU(]Ąy2aC@Hݿ_1IƦiMs(L7' `'u?rdLmu0QI}J8LD |'O]/;:~KMYt!DgUMVC1hV~Ydr y1V@ I ߧoe,` i pԿ3C8%OL/;u{N;#PC>[>[toC~?6 }~ķ_ueYo H\k=:硌X-O[u O%ޅx8Zbu(I?YT@^uYMu3e$u3&sbS=Io<Cu:NOl嚤ΕEpw kѧxcI A|EU)?1=V@`-ݏ"}2? ~S)]*$-d;Y@[X "Kv |4  726!%$d9c.Ok8 P$Pד㨿VQ>2nrfp+q|?3o- 99`=/W:Ϊo}[UFPx aMc B|g|EƸk~;}WFήDH?2!.mߓw<8z$^s/t_&.'+,:f+>b?^Sۊ~!8#U{PD[pCb0H%#-jOq!;'՜=(޳kE_;s5͓S D2ZkGwmXk畻Vpx3ƴ͙u߷c(@WM߻?]a6~9(BݾϫƏ>Z< O H_? um;n1 lwhUZE(I t?CΗ|0 Е@ޖ>s_-W(yq}up|gE^N[=x,ɷOŠdݧLe%.rh'o%Vw| 3 +_{ahh]$x iU=ʷ,:ED_.CdxK8۰PZvZI9j(o'vRӅ.1}ˠu~x`5R2jڪL]k#TIZnq,+I}Jb۴xRX! SUaz8nluw2vVXbPRn-ч+uN=`*(jA KG]uf0è""<4&Z]{z,졝k? NN Hl}ᏝVc[%p*}YlU]iCŖ͆m2g.A-|-u_Q'>^qH0%eFXZ<,sq|4g =&,G ydK/W]FLP8(1|倯}[[{W~pogȟ|`uuຣxokL۫Z;2o!־+w8{E^zG3wE&<!N')μw%|xĊ L8hA(}^j]9m)o:q|OPe?t!8 ;At8o+iW϶f$݁O23qn"(yo~]=H~?Y>/79̺_''޻a+hWƇryOm<^kG[E_=l!_־+wq+* 4C17yt<1ٳgv;9IBQ}^7NB 46#2#-hUZxlC7 S'PuKWH;h `'a%PlL:givt[bsK'P:i*L_tJy-,2VIe"_|XV+HgFz6lW~0GOe4@"m~0%`Snj=y88c# 0q~.B TGZ<~.{eiѢSav?-ZVt  'Hq4-kmY4 9wX<&2گ eЪرE;)~jCK r6MWN-nH.O,m+W /"BwDCbr!D. _z|m&,xym[Dޜ/ a"R+=$2飠d2@N8ϓ&'}%A`yR;{881f`GXK?1sV ^i^u:EЯ? b֜rWvREWKWdo5GԖsS|ק)1@:MVߟv8 ޣ]M=mJ_ l+&7xmgQFoR p%9ks'Pt&Ā`Z tq  @+ד֒zZb_i\p إZ;W-AyU\# %_.1ɖN5֚{Zj:N#5ͣ'unGW)dlJ11^,w2kJB]eE+>"=a텣 5e(IA.>y&-INf W/ _}upW?h͌_bjZS:/vzgWI?g'$ޘL8hW75}^ju:Q!yۻJSa [2=<)|w`H`kPxGKCrZl$'æ{|!Ɇ*V%xQ@:u_/Wf qsA[)KJL]YůU-ZJgQ НhhJ煻n׃C7L=X",:pp#3KP6rʊO9t!' yoAde.lIu6Q <J1b\4iXcgOsI2z G%WL#6[ȏ KqGAa3oeM:3R%<}p 5'ƞӋn3?z~^h;[6kɸA=zHxbE(?tQ2=߷mU1"~ ?>h5Y={UϘ =lVI}=tx4;ӫ-}b+ާ&/Uc!} =edfxKYb-dNHVto9?nW:C:zKJ@G"wu&'o"kbNWӖ߇O;;roSP+0}wDZպ1I ~Wȝ٢ofҎ. {.}@mot %`Ug 1[`__%\(4XB8lKlVtm=Z|Iϖ1#xVr1m <}sx8zlz;O۱|q~.DKo_'mI4{(Sݯ% P `V= [Oӊ6= wJNnTHe$)`%9 TRN`aBBoɬ- Ys^[>huWIݤuI_Z%&i _$gt\/둂A_.lUiH6:mCGɦ7@P,IS RfULplmn?n{ּAqxh"/_&S'9*YwKW>4]qC[Y.'#5tW,1W=vʯlS|82R_4]C$*G?!&= ׵]$<uXt߶3Ÿmsf$</"6%Ė& |W ܖdO|x+[SkkCߝهmf~T۞.gYGm\ިJ֫Zk/>tÿ@gbqߧe U뺇Wct|ӊz" @W|%AY`,#~1bc maY $} '"4hH0@ott}?z>(h& \ $~t (,0:2EGN'/NXyg9p%_w9x@=P@%_w9x@=P'&I;i1| pqO'rXac K   6bZ1Eg g>}7U @W9  >}7U @WC81whZecgh @>>fD-L5Sϟkt @?x P@&_{={kP~w} ӧOq&B^uc>X_`:Y @g_wTD4 O2p@f@@`;@80 pGɓ'ϟ?kp9J=z @O2C7@p>f\tZނts@EFoA@9 "ݿx  ́qxg}yZT7d#:j懻!q!=}uF&֍x={,R]/Q%GnX?\/Qߢ|OgvuZFq-F-R$ ~V"_A`(GhGߎ%, +R>* ziЀeBڇ]M&Cl$O>+2I&|-u G]\`I/AD@;a 9Z7wcI`O&9xvoL{Q3gr@%9P~ +-jTH')ɟI'DqHI)8I1]^B]P}h:qx+{;-?s? s59rF2rEՀcK\}Ԃ-9N&Zw5p,C^8V#Aѥ"Dɡoy;I_q-_h)*&'8Joa?u"%߅cqĭ-91øj+'vbmBbxs[]\cE_Z{+0Ӧ< K! F!t芡iQ۞tuG~JBɢԏ4 oJj4 l}'_߬psM/,|͑_y}6_="9^kA/A/|u-mb9QZĻR9m/WHbD'vѢ mE|`w1^~_,wk<5c/2<__څ c<{m}?_?1o_Pь8o>~oׯ~sșxU3UT4 ؾs-⥟>23y-bwӹIɥˆ=Tfb;y~v m=HϒlC;W['Vt.UGΥY2fڳdZkao-:m;iO|mox3QFR6,~mu!Y\mpڡH7DK916L Wi 0 g|q%l0o?i70Y`J>ܸ v2`sBF'I֭T'Wz82N1"qdCc.պx|L+>'a`)8=}^j d^k)Vʦj.h]}S^1ugNoƲ+'p8g5hO29[8qUgpJ TW$JܱkOwBbӀjN8>4d\e'yhqrk^u z04+TkХ&OP6:XjcqK|}5S*u#1tj5@QvGD!b!Yvgٷf\1R%߹dkbK [GnΈapzFE݇cuՐ5_tٙ:}quy;ҳsOID$dսLfZDY`+c6 \M(Wf?\-i]/}\͑r|!պ+p˶{(ĢN!<8)J[D2D92J%z1p&ua< #o#e5q[mm%hU}Qㆠy;''[XT׾)32N]wW Cef=أsXGAjnPAI-:舴m(-kis"Q+>->47Z{C[Hv@{L ;oR'%5/o2VVV t΂$F!1>a!;T~Q;fz38a/QY~urYp.zp0Fb|UcwCGpS|[!,F:_?}A&DD>hH0g)S#%S ]0NzjCj ' 8,2Y3\=|ri%C$Hf !mqX C mi#i_Scy@`3y !tvIzBn #ݘ < 9>!ե1SSZuuyJ@;3_& i~&AsvRJᬆ$MjX1IR^C)TP$3l/.e(4/"Eiˉ+O\ 3d1{(ZɆ8&x@->F4o:ei %ZkHgD~;b{5e!+hCv@KCgrnRe̊L}M*)8C(A ̬*Rd@"sVFK咴N4R+ y39ShCr!YL)Q=Ѓ|e<2e+JmgԺwFr"0^ʻr zoHЕA@f~m޹(cL kJVQ/Ȇ@D)kMOilyrY8J 3kꮮ`~d֣A0eJGaP曵<,{DedkфJLE2 nCKy2% 11M r9xQO̥ܼ y o!S7TN{1)jV''zڟ<0yp3$t/\Fc^W GA ?Zʾ#ٺ\b%Ӽ86q8  ޘ0Gi|ԙ57ۧw˸ZY;ChؚKG2 nC ib\44*%MIŨ \Aʈ<$7s"t0%Щ<!^!_3N@RΡw@ b@@0 9G/1w>xd'&@^/L$D@;Bb@ 5Cj@I@si~1DFyXT^:FM6Fyr&<=|  -!Ly9zn;Xvò_o}v)@ !e)ݖs$<1SIZ M9yB b  3"E )!̀kM֚^[[2@ԯay>t0v؇@faVd) 0'"bJa VWWVi *"=t.~ ;vIAoTi'LA&w@`zX1@`yđR@Ly sAyG) @1@`yđR@Ly sAyG) xk:0Rx- "MpLiC[Q FyXK`ʢ@{H<@@`4@{!@ eC7@@&COR&<| 0\ gƉ<0B`P$ӕ>~s -{6t8@ >3&@@2 .COyϘ dHy0h @ >!>cr !!à2 @ `R[;vVg8SM^ʾITRv/eB^IbR$Rr*y7RUĦ#ɺo*kpaW&h*H@`y 0 \ PAyಀ k`D2e6܏@L=}y5Bx^;:lARF!?Ս])`'Ɇ6rS 1ʫ|0a*WMJk+ц1s!WWHE^ C l"1ҡʾ/ #ts$cKWNN S4Zهg< gM//!fBzU,FoS k9"E}_3~yU.Hʑyw!Թ|4#NR׋'#ҦE v]/skdo7 46C0[4Gό=ߴ'1V.WyvCA f+fSv#i6a֝yH3.jps=U瘪45216* '>Ty? 60"K~*Tv~*z47ea\ݴq~u{فmc'>FΘ>֖0 zgl 57θta3RP5)Ze:.]T1uJt`*-2/ENw٩^chne͋kg?oSM8%'f9SQGb?;ZAbg<& MK@y'<CJ@ '<|d ɟ~ϹGլ6&Mݗ}3g>3sޟ:ٳ3|>{Ιч{ 8e[80& VΝ;w޽W :w?R~17I[l;6{~ogϗ-{dgPUJ۰i6֓ T{?L߸C=L~NsmebU࢞.c#C&߽.j @_K_ Rt0d0D.)#R:k2sL OmNG @n,gP鋟|?׿8_l?wN[ްכn:V~|y+˛%/{_Z\u؇|Ah ,)?h]5v7.njOvџ|BmK/A!~?z<67/)]Bo|f;m\oq*S?]s~oEwJpn8E\~G\%Ph<%xt m$w?(?g>gUlnI)^~ҡ12E$H "/8R}gXI|xK|nxo<%,?Ydͩܜ&7=WSL_o8ò ơִOpwn#^SZ஫M+>E_r-}v1=؅/ϻowѝ׼byϵ*/Os"ϧoS߷ѓundio8wa'~'vc؊䮫6#O%lo$Eǜ~N ?}mniyYr]|좣qI#= |pןwx\񤋾p7S6UoɜrكO߶/#bT!VF&9eJ*G+j{_86"exͩ"=~~)L6 Q>/^XŏH` 퍗?Oɣ/Cf{x_H /[.| m:uE={uvT`ʷnKB/]k)GqEqL (T[:G~1/lun,yӛ>}H7A_n )?H8wA]x>םHSe8R>}r&1ho H.#rSN4'^vb\ff˩O?y 6ќs?sv׏^A_=&M'?y|{t?{zPN ³6}4'_7߿rmT[WsSۤ9}{9e\&}foO7kGm4Fn3&M({M\{kBN_$L k) _8ޢM:׻>xL'};oL}chs׫ι$9}q˻産OhYnJ_=ӯ׼q&wg9eP.IX_)e蛙=Oj2Haf# }T>CN.ovuU߽NGKs-)A|kdDkn5o젿?vB4.g|,]=zm O ^%I*٤,FAZ6O ,t"@2y?C5Rjȼan u:Ŝܙ_u{l뉔bs4y#exNO6cN9%t>s-^7V,EY8^1sUpG;vǏ8Y;`EkdŢzmG3#R|"q6criNZe m4`WC!"R:ޥ>e¥*Cf beW9(4T1 Oj<2yGk2k$B֪뚓+䵂Z yN/=xd*C>)0Ff8xNő4XnY˗fZIO>)5(z!Oo$8y @F0n;=t|֤V,C ISEZ( cº*ڢTHy!^=؊ܲ"# t,;M<.T`R)%0 k嚎RcKw rQh=ɸ1iaB|Rnݺm۶p89r GrFqV4:cq-P`jjףP&ao+soHUCOOX]Xn=scaD|=~%!i *͏Ux vjXD4sP,Ozы3B a5 +nukxM&_ : )krhCcbu$wFʅ;/VgYS澅&!+%}B_7y+9pf;=YZa?)Eݐw@;$_9gsʨY-\ ԚǪuHL:7/κ]p N)#E`na8'vdPRjkCG4K&e4i[qƕ x~w}~o5kDON8笝b][C~8Sc:h7 I4[b45o&"  0;S`` H>X;Vvu}qU ! f4ԩJT ",.%@kzdFnB}q#XqLVXF*5AUE\NsuGSő!G mHue{?\X^.%C4;]X'J-5h$;};LrE=۸Qjn=Q(ʰdhOӡ5S?!M&,Bˎi)t}\qm@ , - yrP+&%qj ~v0z)J ï ҙwhR&ZO 7rƧ5PSHԹnvbILF e@Mn\Կi)dOw\U9s6±ƶ|RI ivͦ/NhQ|ΐFu5{) ~XS |RfK߸|5> G ( *M`c7z&bXdPZ(aΕ%C{HDtN-a1UεZϷ)DË֘cA_d.jz]sN'.&١^9ӕb38L]]]ҝη%+D?^~ ()Oo  0;Jsʳ0 >΋>~_`رcY5s+ݯ⻺`BGPKA} 01jNMk0 0W07ב@,"@`!eo)}֒$ F#Q"Ut]QUv7c tk3.թu$zYX.ℕ^_X' 4M¨u*KBi>]W;j-n5u(nȳNC2uFVYk"Pqp응BZdEpZmkGYjRځHcw8d1OC2ƒ&- V q?6e @>)/}MoSǤ\Kב!f43%I6o>)syGoMȈ)(Iat\E`8Y;߽"`{C)}`ް-b`BՌ}QtBi\“tymӱ_M@!2SYd ^J'֋z҉Lʵ#HNjS9jIyݫEw E::JʳO _8:Դ ?[n6n9/!IFOL*FHy˖-5dXSKI_wH9#/Bp03GnFTQ5>۪Txy%~nf#Pf4͌XmA,+yd @@"FPj7V\4ruDGVu۠p$Vb 2@JJrETG eMf@lu /%Yب@0LO ֚@0-AyR:A7x3(H)lb^޳"ZXmB"_MhΝDCgu',2Fx0#=L>)y 0 vŠ8X|u+7݋|X2$!՚X#Wt|Rf#yFnEj0e. ýKGCF9QzF~##'LƹXDbsII'< e؀;raNX2$n2ћ*ZMђ0씓b SqFm2Xt&MB+4}a' =ၩ"@dNM N27#N7 ;4䮸6%B@'%8Y1U :!h;szq^Bv#(:|K >%z&֌@`D%AA" 'lIfC i %";dٹ0W=Aڽs'O[5tbmMgO"Hy=cC@S`OyFGO(㼧"M?gs^OgZt=nEbZ!$CHD2zQ,[&{2nfB+'j@E:u#Vny R.'Pg| @n:EHC( OO'z%M„+L_\m۶%}onNsQ "Rih_XUe_b k_.}_bSh 0qWN?%2Q~⃂D fN YLU:uiHF ¡ p6)WYYΦ k=!d"A|uϟu=hK=(}Rm‹ѠpG2)3[>LTt^kC]vfrhzNHׯw"c1X\# eyܒ*RnOӅy)Ig.CEV,,&SF11I#E =4rmmZnbsw+H9s:D=J;[5D@,Cr9sܛN:MuѼprXWPyS5/igWv*"Roaۚ5fzW!V[{mDyoejt~!*· -r`C r(" >\?5L)Uɼ&FK+BwkL:1cHFX0'yKlyƇZ 1OȮ]$n7e b 1h3, %2bvhp6e}WO􉾾{C`RG19O#HCFKf}iD<'xoI􎀾k#y*3xGm&1G?G2\w_d*sE q3\<@Qs+;,c8]3@C p8<ʘ'ܟ/PG}RwFbT;-#'=(D\ Oˍ>Å6G#}Gך.lVg5\0 :$=d)cG@>3}`C/Sl@RRf:S J(z̚阚gCi^ %6<m.=Xb=.}i@KSي@}HY32[0HYIVR>e<߱jФari^)wʷ"1IP;Gʥ9劰_:yGW#֪hT D`R5Q35xӼKX7!nS I!m Prdj6-ш( [(M#<( f@^"cM1M4)Zh&imB Kt7XGٮ"R)[tfZACz@:ELjLĚ 5i_U D_XruB Djl EC"P47k+jyu]SejO-yLBr.z&@ʣ25ތ)t˵HY̔A5M 0w`:&**۶m!{ 쯎&C rşT/AJ2M|Hy#;~Im0enO62H9{S1=NFSMKdriN(_:yGW#֪hT ='3dIX>'bƈCVHY{Ne>ou Gټ qZHRWqY+OSki ;N'ᰭ;sػ<FHqXk.N ZHPƔxZ K7Jp֭|t]& n-1 D@ZSKsM ÌrEؔ3 cSQ[mM2a6XMMC^_PEH 筐ܝ^Oͭo7&: /@ \p \zLF13ь8ܨ1%?*0 U5y3EKD;\<2xQ6)+NeO..HʎYnV邑sCk8F9 mS_kjy<~~m7ϵHOPK C4-&a-9Z@`(Ҙ*l@"[H FVQ6t#}$g'v_hG8k0 ^2wCGy#%vvS՟4 2t&]57l V6m'kv "QvLjμ4L/\:.; y!`ʌ{'a*JM覣2Q4WԒM&P:)f ̤濓XN#:pHyi Pkv.gfBUDh!DM W+&r#v6`&<2gd@ʳ2Bojv&= !f&k=g') .*k_8e, e/抒A6ONpbm ^g/@!Mʓ *F5㎈r+ţ6.6{&ց`hO >'e^֟Qg)>&VAʅٙ)8JS0{68jKs"'}$_B_?iReD_ UqޫT!R^p"jP}230IU" @";4Nwm&XZUy Pr]Yo Hռ;`,5/@EXUN!nIG5uEi u&Z=*f/N<>՚-)P3 jYzqVy p[iV15^e*Z*FVaGIhmң"\FL_6mMviddh=k_,8 :[~WCc5 \z 4Jzz!װppWG y!q:$D郰b2 z&ӞUCԫ֎(UXLV)hr5(wbcJB-#uVlŠ aJ:kMvȣP۠UE㡀ۨ(?I鬁Q25ipBY.HH9 x'\gNC3 \`~Y< \(Lfc[UJɨ0)fZR|*5QEwT@%R\'徇ː&2xx6u_%ݔ$aX"6d`@ RgjTf/t6\L61Fl D_pjENDx9kN\T M82%2Lh;f ޵6Rܖ\Uh^8R ·yH˼6L,#_DXmZȈ1b[I:͙T<2#d-tϲGa2*PSzTdԼZQU @FFc Ɯnk/HIE=9@9C;'"J?\)@3:e}bЉsDy8mlmhJ~mFFͶ3?1UsiwWQRSRe6$s 熽Wg]Y>JFX`j`C(=mtAcT&\eH;njN&#C`Ff@U2,H-u[r /ЌUl}ObuFZB.՛Y;դS]nBR¦W3 Gۊ+'0UP /0i3MB=g @/Vg86]vpqɶNs#2rOtZ0 #w%%ƦӍw}8J„Ÿcf$OF*LMfw`#O\n0%պK"8MWgu--/t73!!3"K,iz,gFuHZ&%! 2*VKB͛,oCu+F[B?`F.=z(%I~oМ4Y'jpUbEL33k.L#G;I@;rsȽԇ+7ht]u],߾YĂ@,OUk&p&s.\u 7{~=r|r^Gϼ./~m_[6o㍟75 0fѿxg>:ZV$TЁJ^,|}HÓg_~s.Ko['X7"/R՜傔(oZg <ՂE?/\2nxv&Kr X!\LC`!&&X1 O뿌hBk@!&&X1 O뿌hBk@!&\dH1:si9V :=v-2ՑNzʟ-η{RoF@hR3|tt$zUYnܸ'=_gilO 7{"׿ESb$^bbjgWS[ZuNk>'E]RYIgmsDy)Og9hggkJxS_2訪^2M(.4T?Ѿ{ ..[&vŰߖEl=";f$z04@d<̂ \aJOt `392Ϡ^y*ݖ*vŴ{hS13 LZ.<6 aGM>vR$)`yLnLvDB'\tQ;q:w;}ΆsEnWtrOh=oʗPN; LlTZ!شF]46 0N72| zPLMΔ'9va@vV|0@h!46Wd_vZM[6eg9xPls#J[J}O\ʑwٻ~NvtcA(Z"[ ʙ] ?'3x0@FL] ZP|v %Z2Zy"z'-=mdLFPHlJ1ufŽəi vQa4ڧs"%im_9?Kqꢽ'_|k 6&HYM[ ߦ}ŕh?ӾYpO"N(`7Z ]4Z+%97'}^}}Z2Q;2xbzga,n>Vn-I?coXm^\ 3g-?qHv߷@TZOUN@[ cYuֺɟ v}mE/TT_A5iZZI}le8IeFIn9a X@ }+6:_n9: P@_u08H`~Pz(5 n%bkZ!_f{y(5 n%Q[Y =ב?k:Y'-Xf{!JMì[ID.]4~+ȟh/^KhVukUCiu+Ioӟ#mӾ n"l-4LigZt7>Q@koq$ /J-}_K$ P@PW}"~p/X6ƚ5J1 m|0@d-߯rpaJnI ӹL?Υ2ZJ fS`n0A2ݧ7}M7-KhiʘB0PBz9x%lij`T&@`.#s_$ۀ϶ nyr TLwv`# O=$SG2(U?U@XPhh! ՑB'20ۼMN?Gm]IЮ_BC lȢ6+cRMkg9 Mu<\yή0'`ch~gPOK6M l А92A+pM2`4#/'Ă6G@dy>ӾÐa$EWܩ,NWy)q!> ؽ=qzCx&v2r}V2@A m;5Sc̔wҌ;fjg~}^( !gw0=$#QOGaNn8Q\L:' an#.@Y+or^@u9rY`8([ .5]Y;Î.7_w~=nm<ׇR0VȳɹM1#_Lu7mbΆ)&)ukCCiu++WnqVGE.<73~ݚ큏y(5 %iYƵD,{5  HTuU@;]I PH((ֺQ֭$?<::Zbnam5S.ȟR0VZpiU_oX <:r˗)B*˝!U_rdՓؒ3SQ]&#"Q FpFY6;NFB$b—G~˝P~ x)$nh,wɇ pӨXƺbi#k̓Ao-a{iG|5grpӉ5[W(Q*ڱ՗}FÅW}K#z R!Sly+J9֛,u5kS؄0EMT&yqѳ#% 9pOz\zvE. -zI3'Eɟnfž>w}=MRrydv,>5J%Wح~TBZohT,i*;g hDOAGS0i1;Yd'h4 RK™J`žkD%&`Tf{j-_$ߴhK$TaXvL#Ë'Q6J"0 A16VJLD hCOڕcX"3dgOIЋP"̾nVoky+J9R3t*ݮ݌92DS>']2lG rPcyuybI w>ӓ0XH(*p$!BiҵkPF (`U*Y[fYTW sOmB;+aO%2tUWy:B*t<5{++b{*IwNvV[ Ծ$}4'5Gah_K<=gWƧxzqv(W<C#Hboc84Qkb01lW@""LLA["VG(uq0ba֭$כfo\e#?C[=t?a֭$\mƑ npA<鿒4,Z]@,  07 !!OY@`o.CCr2͜sUrk[߹zp_Z]]'x~lGs7];-wfސ I  "q,X=/ p緷@`!BI[ o!$FDX|!l#c[dqQ>82X V;+3 fɕgj]s#PG̿u0ˤ:!T(Ki8yGG-z1OZt܊;X rist?bUl5]ݝźncσOuҾ֥݊% F +쭤[H`$JG^j_CZҰGi^MTƍ?_q<2a_vb/ 0? *Qbxo}lkiռ:0.ԓc5[QfMkHsKev2!Ў@o;C]Թ3Mv(ΫA! Am 0זou ed*raFf?{˜}V}nVA#~VkD֤O{J;{Zd yC_ꄂ :']K- @3T'bw9?kNuL@'*ȟD/̒|J2^ 2 'd:hDTَ:[}է<~, 0ATB&|%KCVd_Ez"L( ڡW&7<`QŊR8Uk؇%PG4{%]v  }%PS7u$ P܍;hZA !˛z?cyy]! P@c5|؀% e T=r_} {+̅=h34Xt!Gg;*JXzT)^s"f_K`@hX.D%V BӷS FGZP& 0@8\8/fAhQ!pHlZj8TDOv\qoy[%IE_E*yוH`lNj:ubk9k䯜! s~tKhp M%%5@`3=o&Caic 9Tg-98ir W=uuPq+~ L͛ն:j'!5 \ru䛥5Ca@`je(|9Ђ'GwO!:(@ lCu8P߁<ن? pN<4d8T2/K58hm2bbIENDB`DdH!0  # A2yF(:Y+Μ!mcZv`!yF(:Y+Μ!mc58 RTxڽWKOSAB)ąҰ)%D.|DapSTD,i hL@E7rgL骲M\ KsALLo\"Mn3񝙯950ax_dcqqs(FJM=.H]UMbE1q{0lHkvZh@GBZHAJ4$ vﻰwߌOFݹ|y?7?ܝ;,hccJ)ݎ'ݥK lEnM>M!4Hv-ijyZ?A-xZ>;kqSU-k@. Title$a$ 5CJ$\0B0 Body Text$a$CJ.P@. Body Text 2CJ.U@!. Hyperlink >*B*ph567|%567|%H;<=>?Bwxyz}~&'KL ! 1 2 4 5 ! 6 7 78pqtu-.=ab\]T`atu $1>?= { | } s!t! # ###$$$$%%%%%%%%%00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0]0] 0] 0] 0]00000000000000000000 s))# !() !")<}%X8  @ L(  6     B    B    B    B S  ??zq%d$@&t0@ t4# t L !t \c=Dls} ! !T!Z!w"}"##%  jqVX_c9<5:} %33333333;<{ | } $$%%%%% Bryan Cochran'C:\Psych 217 Web Aut 2000\tutorial3.doc Bryan Cochran'C:\Psych 217 Web Aut 2000\tutorial3.doc Bryan Cochran'C:\Psych 217 Web Aut 2000\tutorial3.doc Bryan Cochran'C:\Psych 217 Web Aut 2000\tutorial3.doc Bryan Cochran'C:\Psych 217 Web Aut 2000\tutorial3.doc Bryan Cochran'C:\Psych 217 Web Aut 2000\tutorial3.doc Bryan CochranjC:\Documents and Settings\Bryan Cochran\Application Data\Microsoft\Word\AutoRecovery save of tutorial3.asd Bryan Cochran*G:\Psych 217 Web Aut 2000\spssbinomial.doc Bryan Cochran-C:\SMARTPsych\SPSS tutorials\spssbinomial.doc Bryan Cochran-C:\SMARTPsych\SPSS tutorials\spssbinomial.doc4/:et^`o()^`.pLp^p`L.@ @ ^@ `.^`.L^`L.^`.^`.PLP^P`L.4/:e         @ss,pss%@UnknownGz Times New Roman5Symbol3& z Arial5"System;Wingdings"qh}KfY|Kf 4 9!20d { 2Q&SPSS Tutorial 3 Binomial Tests in SPSSDepartment of Psychology Bryan CochranOh+'0 ( @L h t  'SPSS Tutorial 3Binomial Tests in SPSS PSSDepartment of PsychologyTesepaepaNormaleBryan CochranPs13aMicrosoft Word 9.0o@8C@ [O@6O@v"D՜.+,D՜.+,l( hp  University of Washingtons9   'SPSS Tutorial 3Binomial Tests in SPSS Title 8@ _PID_HLINKSAx]2http://faculty.vassar.edu/~lowry/binom_stats.html  !"#$&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~Root Entry F@DDData %1Table7WordDocument"HSummaryInformation(DocumentSummaryInformation8CompObjjObjectPool@DD@DD  FMicrosoft Word Document MSWordDocWord.Document.89q