2.' -4-5 I fo. - /30 + ;3, x + G: ~ / ~ ) ~ ov. Fd'r evt.'i') cutckf' ()y\e.._o OYLt dtt:vl. t'"'i ~ _) y =.5_21/2-+. 8"'- 2.

Size: px
Start display at page:

Download "2.' -4-5 I fo. - /30 + ;3, x + G: ~ / ~ ) ~ ov. Fd'r evt.'i') cutckf' ()y\e.._o OYLt dtt:vl. t'"'i ~ _) y =.5_21/2-+. 8"'- 2."

Transcription

1 Statistics 100 Sample FINAL Instructions: I. WORK ALL PROBLEMS. Please, give details and explanations and SHOW ALL YOUR WORK so that partial credits can be given. 2. You may use four pages of notes, tables and a calculator but no other reference materials. 1. The following data were obtained from a random sample of eight oak trees on their age in years (x), and the diameter of their trunk in inches (y). x: 22 y: ( 4) a. Write down the regression model and explain its components. (10) y - /30 + ;3, x + G: ~ / ~ ) ~ ov Rrsl"'mJ~ Y-I"'tr-rUpt Slop'" &p(av1a.~e>v'j Ve-IA. VOcA.. b. Obtain the estimated least-squares regression equation, and explain the meaning of the estimated slope in the context of this problem. )( y ( ;< -x) (y-y) -)l... - ~ (X-X ( Y-Y) 22 ;to -2. -~ y 14 Ho lo IOU ~ 3'1 9 I ~" loo (X-x)( Y-'/) I ~.2. C> 2.' -4-5 I fo L... I'\ 2..'.20~ X= 1'12./ 8 == / 0./ 8S-2 2.S G, q b I _ ~ (_)(-x)( y-y )/ ~ c x -7<)"2. = T- 3 8 / 8 r:;; 2 - Y- b x - 2. fa - '8G:,~ 2.. ( 2.Lf) ~2. I I l A y =.5_21/2-+. 8"'- 2. x Fd'r evt.'i') cutckf' ()y\e.._o OYLt dtt:vl. t'"'i ~ _) OY1 C-<.VcY"aJL 17vt. t rv.. v'l It cl.ta me.. f < v w ''/I (t"! C-U.tl/l~. 8 (:, fo 2_ t'., ch t.e

2 Statistics 100 FINAL page2 (8) c. Test the null hypothesis that the correlation coefficient is equal to zero versus the alternative hypothesis that the correlation coefficient is positive at 0.01 level of significance and find the p-value f = 0 ) H,-q = p > o ; wht-u P =-- p 0 p. urv. ~ Y' = :2. { x-;t ){ y-y) - 7-?:. ~ ~, q ~ I l y ~lx-xjz.lly-'f)l yl89-) ({..,e;z.} t = Y-)/Cn-2-)/(1-rz.) ~.C}(pll (tp/cl- 'i<,tl) t OI = Wt.. Cctll'\ njrd Ht> at- 'ol ~.e.q.. 0 3,143 -}?-Vo.lt..u < OCJOS (8) d. Find the 95% prediction interval for the diameter of the trunk when the age of the tree is 30 years. Explain the meaning of this prediction interval. Th..<.,,loC>(1-~}'f. rr~d., t "'+. ~ Y +to( S \/1,_.L +()(!1-'X) 2. - A.- e ~ ~l' x.-:il.)'- o( =.(I s- ol..1 = ) df- = ~ t-. ()l..s- :: ~ ~ ~ -;-\'l./ _ ~ '+38 sscn.s1.d) = ~t.y-y)'-- ( ~c)(-3i...)ly-vh, ~ot.-j<) = t#12.- m =.<::2.1'ttos- Se- - J :SS(rHid)/(f'l-1..) = 2., q f = 'S. 7-// Z"''- L( 30) = 3 /, l'f 7-'?-. q 5' /. f rul.'e--f-, l/n i"'ftor u...i '-1 : 3 I I q q. 41- '( '2.. Cf IP so). J I +..L8 + C 3o - 2. W '\.. ' - ' y 8S~ (5) e. Find the coefficient of determination and explain its meaning. 1 q2.3t-.. o' tfv._ (/~~~ ""' +r-...,,,..1<. cltc. m..hy- Ct'VI ~ exp lai1111d J.,') r 'a; ~~~ JLJaftt?vii'1t f' wrtt. ay.

3 Statistics 100 FINAL page3 2. Researchers in an agricultural college want to test a new variety of corn seed, which they have developed. They got eight farmers to plant the new seed and another seven farmers to plant old seed. The number of bushels per acre each farmer obtained are: New Seed: 130 Old Seed: Is the new seed better than the old seed in terms of the yield? (3) a. State the null and alternative hypotheses. J-1 o ~ ~, -==- ft I-<, = h'lt.&i"', Yt'(.lcl ("" 1k.. n.t. w.l).u... d.... old v,,..,,, (7) b. Ass4me the yields for the new and old seeds are normal, test at 0.05 level of significance. 9, = 130 S :i. = S c. z., 'I-. :i a'") z. =- ~. s~ 1 g ~ '"2-11./:z 'L 4.'lll 10.l f-- + " t = (Yr-Yz_)-o f HA. t', > /!2.- Hl.- - s~ s~ -+n,..-i._ I "l 0 - I 2..3 = f:' t l.f.n10 _ '3.2.C.SY (3) c. Find the p-value. P-val 1.4. oos-< -p-v... \1.AA <. o l

4 Statistics 100 FINAL page4 (7) d. Suppose the distribution of the yields for the new and old seeds are not normal. State the null and alternative hypotheses and test at 0.05 level. Ho! 7.A.e """,...,~ ""'bt-t.s/.u../s./o..cn a.,._._ -tlv. /:>OVY\t.{-,,.,- b.,tt, ~~tt,., H,q, ~ '/ of!- f'"\lw ~J '"" T # < #< ty\gvl ft.e..,. 0 l.l /l-u c.i ~J7~,~~ f I "2.Gj I 2...~ S" l<,+k'l.= hi" hz I I '1.5 I 2. '& I 2. '-I 0? I 3. o 1'2..S I 2. ( q 1..(. 1 : SS". S 0 t<'"=,s S"~.S"-+ ~ :8(~) S" c;,, =S Co ~ U.s = ss-.s- V) '-I 3. LAI~ Cc.i"' r; J et t \-\ 0 aj o s- ~~ A digital instrument is used to test the acid level of a particular drug under three different temperatures. Six replicates of each experiment are run in the laboratory and the results are shown below: Temperature Replicate The between sum of square is 10,474 and the within sum of squares is 12,670. ( 4) a. Write down the analysis of variance model and explain its components. y,. p + c. + f, - l l) I ~ ~ ) I 1. 1-# obj. ff-tit VYI &a.,,.tl c( t[,.,...,.,,y...{ -rt. +Y"t'll. ~ rt\.tll"\ -(- H-. t-...-l'r.t.

5 Statistics 100 FINAL page5 (10) b. Construct the ANOV A table. Sot.( 'r"'-4.. d~ SS fv1.s F - -- Te.h'\ p. 2 l(j41-4 :)L 3 "f ~./ q '1'.. y-y-" V' 1'5" l2g-,7(j 84s I TeitA I I? 2.3 l'+lf I (5) c. Perform a global F test at 0.05 level and explain the result. Ms ( bdwq,,,.., F = t--15 (Witt.. I... ) - 5 L... '.l? 8 <+ s- d (.. == 2. Cl...,t.( I S- F. (Js = 3., ~ (3) d. Find the p... value for the F.. test. 0 (8) e. Construct a 95% confidence interval for the difference between means in temperatures 50 and 80. Explain the meaning of this confidence interval. ;Ju. looc1...q.)'/ ~ cacnt~, ""tt.v-v~\ t..., Y.f - Y_,,! +"'h ys;<~-+~"",\ +-, 6 2..r ==- 2.. I 3 I /Ju_ ct.r '/. ~ cj..~u. (1'-14.~3s:s-8(:.) t""li<'vvej Vi ± 2.l.?1{~4s-(1;-+{-~ 5" 2 ' g :? ~ '1 'i: 3 s ' 7 G. C/- y ~ ( 2 3 ' 0 l,&'1) '14 '5 '111.f) IA)(. CUR q S- /. ~ t-l~t- fatt-f 1/,-r_ di_//. in ~a"" Ct C.c'C.I ~ (rr -+e~pe.~~&ar-11 S-o a... d So (..., b<twu.n z:s.ol.&t\ e>i... J t;4.!s'i7<-t.

6 Statistics 100 FINAL page6 4. A study was conducted to observe the relationship between the emotional stability and talent. One huncl~d individuals were selected randomly and the following cross-classification was obtained. Emotional Stability Stable Unstable To-\--. I Talent ( ~ Artist 10.c.) 16 (IOolt\ 2. <.. Musical genius 20 '2.0. 4) 14 {I J, C.J 34 Math 30 ('2.1..() 10 (IC.) 4-o,,,..,.,,.., G:.o I 40 oo (2) a. State the null and alternative hypotheses in words. I-lo? G. mofi V"'l,J /l4,,,.l:til1+j ~ L',,,cle~~Jc...J- of -J.Qle.-if /-1,q : J-1 0 "" Yl uf tv-1,.4...t (10) b. Use the chi-squares procedure to test the hypothesis stated in (a) at 0.01 level. d. F; ( r -1 )l IL -I ) r- ( '3 - I ){ 2-1) = 2 \. X.01 - Cf.2. I W t. Ca n ne-'t Y- ~)! d \-\ u Cl/{. o I ~el_. (3) c. What is the p-value?. al< t-ve..lt,a..1 ( O 2. A Brief solution of the regression example given in Lecture 24: x-bar - 2, y-bar = 14 I: (x - i)2 = 8, I:(y-y) 2..; 144, I(x - x}(y-y) = 32. b1"= 4, ho == 6, Y" = 6 + 4x., SS(resid) = 16, Se= 1.633, SbJ =.5774, t = , r =.9428.

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

Executive Committee and Officers ( )

Executive Committee and Officers ( ) Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

A/P Warrants. June 15, To Approve. To Ratify. Authorize the City Manager to approve such expenditures as are legally due and

A/P Warrants. June 15, To Approve. To Ratify. Authorize the City Manager to approve such expenditures as are legally due and T. 7 TY LS ALATS A/P rrnts June 5, 5 Pges: To Approve - 5 89, 54.3 A/P rrnts 6/ 5/ 5 Subtotl $ 89, 54. 3 To Rtify Pges: 6-, 34. 98 Advnce rrnts 5/ 6/ 5-4 3, 659. 94 Advnce rrnts 6/ / 5 4, 7. 69 June Retirees

More information

. ~ ~~::::~m Review Sheet #1

. ~ ~~::::~m Review Sheet #1 . ~ ~~::::~m Review Sheet #1 Math lla 1. 2. Which ofthe following represents a function(s)? (1) Y... v \ J 1\ -.. - -\ V i e5 3. The solution set for 2-7 + 12 = 0 is :---:---:- --:...:-._",,, :- --;- --:---;-..!,..;-,...

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Future Self-Guides. E,.?, :0-..-.,0 Q., 5...q ',D5', 4,] 1-}., d-'.4.., _. ZoltAn Dbrnyei Introduction. u u rt 5,4) ,-,4, a. a aci,, u 4.

Future Self-Guides. E,.?, :0-..-.,0 Q., 5...q ',D5', 4,] 1-}., d-'.4.., _. ZoltAn Dbrnyei Introduction. u u rt 5,4) ,-,4, a. a aci,, u 4. te SelfGi ZltAn Dbnyei Intdtin ; ) Q) 4 t? ) t _ 4 73 y S _ E _ p p 4 t t 4) 1_ ::_ J 1 `i () L VI O I4 " " 1 D 4 L e Q) 1 k) QJ 7 j ZS _Le t 1 ej!2 i1 L 77 7 G (4) 4 6 t (1 ;7 bb F) t f; n (i M Q) 7S

More information

I N A C O M P L E X W O R L D

I N A C O M P L E X W O R L D IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e

More information

~,. :'lr. H ~ j. l' ", ...,~l. 0 '" ~ bl '!; 1'1. :<! f'~.., I,," r: t,... r':l G. t r,. 1'1 [<, ."" f'" 1n. t.1 ~- n I'>' 1:1 , I. <1 ~'..

~,. :'lr. H ~ j. l' , ...,~l. 0 ' ~ bl '!; 1'1. :<! f'~.., I,, r: t,... r':l G. t r,. 1'1 [<, . f' 1n. t.1 ~- n I'>' 1:1 , I. <1 ~'.. ,, 'l t (.) :;,/.I I n ri' ' r l ' rt ( n :' (I : d! n t, :?rj I),.. fl.),. f!..,,., til, ID f-i... j I. 't' r' t II!:t () (l r El,, (fl lj J4 ([) f., () :. -,,.,.I :i l:'!, :I J.A.. t,.. p, - ' I I I

More information

APPH 4200 Physics of Fluids

APPH 4200 Physics of Fluids APPH 42 Physics of Fluids Problem Solving and Vorticity (Ch. 5) 1.!! Quick Review 2.! Vorticity 3.! Kelvin s Theorem 4.! Examples 1 How to solve fluid problems? (Like those in textbook) Ç"Tt=l I $T1P#(

More information

EXAM 2, MATH 132 WEDNESDAY, OCTOBER 23, 2002

EXAM 2, MATH 132 WEDNESDAY, OCTOBER 23, 2002 EXAM 2, MATH 132 WEDNESDAY, OCTOBER 23, 2002 This examination has 20 multiple choice questions, and two essay questions. Please check it over and if you find it to be incomplete, notify the proctor. Do

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

SOUTHWESTERN ELECTRIC POWER COMPANY SCHEDULE H-6.1b NUCLEAR UNIT OUTAGE DATA. For the Test Year Ended March 31, 2009

SOUTHWESTERN ELECTRIC POWER COMPANY SCHEDULE H-6.1b NUCLEAR UNIT OUTAGE DATA. For the Test Year Ended March 31, 2009 Schedule H-6.lb SOUTHWSTRN LCTRIC POWR COMPANY SCHDUL H-6.1b NUCLAR UNIT OUTAG DATA For the Test Year nded March 31, 29 This schedule is not applicable to SVvPCO. 5 Schedule H-6.1 c SOUTHWSTRN LCTRIC POWR

More information

SOLUTION SET. Chapter 9 REQUIREMENTS FOR OBTAINING POPULATION INVERSIONS "LASER FUNDAMENTALS" Second Edition. By William T.

SOLUTION SET. Chapter 9 REQUIREMENTS FOR OBTAINING POPULATION INVERSIONS LASER FUNDAMENTALS Second Edition. By William T. SOLUTION SET Chapter 9 REQUIREMENTS FOR OBTAINING POPULATION INVERSIONS "LASER FUNDAMENTALS" Second Edition By William T. Silfvast C.11 q 1. Using the equations (9.8), (9.9), and (9.10) that were developed

More information

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No

Exhibit 2-9/30/15 Invoice Filing Page 1841 of Page 3660 Docket No xhibit 2-9/3/15 Invie Filing Pge 1841 f Pge 366 Dket. 44498 F u v 7? u ' 1 L ffi s xs L. s 91 S'.e q ; t w W yn S. s t = p '1 F? 5! 4 ` p V -', {} f6 3 j v > ; gl. li -. " F LL tfi = g us J 3 y 4 @" V)

More information

STAB27-Winter Term test February 18,2006. There are 14 pages including this page. Please check to see you have all the pages.

STAB27-Winter Term test February 18,2006. There are 14 pages including this page. Please check to see you have all the pages. STAB27-Winter 2006 Term test February 8,2006 Last Name: First Name: Student #: Tutorial Section / Room: Dayffime (Tutorial): INSTRUCTIONS Duration: hour, 45 minutes Statistical table(s) attached at the

More information

fl W12111 L5N

fl W12111 L5N fl 41@ W1111 471,1516In15 o (1@ ) Imn5o td&& -miet9cqi c, 1119- bdo&-).6)./ 'MI 9 tg&&d L5N li@wymut4lp51:nfrthnnhiict46n-m'imilimlingnywimtpuctvuivi iru o cinuniulviu 1:411.,IJJIMg11.7f1Y91 11?ITri nct

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

AP Calculus AB. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 4. Scoring Guideline.

AP Calculus AB. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 4. Scoring Guideline. 018 AP Calculus AB Sample Student Responses and Scoring Commentary Inside: Free Response Question 4 RR Scoring Guideline RR Student Samples RR Scoring Commentary College Board, Advanced Placement Program,

More information

STEEL PIPE NIPPLE BLACK AND GALVANIZED

STEEL PIPE NIPPLE BLACK AND GALVANIZED Price Sheet Effective August 09, 2018 Supersedes CWN-218 A Member of The Phoenix Forge Group CapProducts LTD. Phone: 519-482-5000 Fax: 519-482-7728 Toll Free: 800-265-5586 www.capproducts.com www.capitolcamco.com

More information

::::l<r/ L- 1-1>(=-ft\ii--r(~1J~:::: Fo. l. AG -=(0,.2,L}> M - &-c ==- < ) I) ~..-.::.1 ( \ I 0. /:rf!:,-t- f1c =- <I _,, -2...

::::l<r/ L- 1-1>(=-ft\ii--r(~1J~:::: Fo. l. AG -=(0,.2,L}> M - &-c ==- < ) I) ~..-.::.1 ( \ I 0. /:rf!:,-t- f1c =- <I _,, -2... Math 3298 Exam 1 NAME: SCORE: l. Given three points A(I, l, 1), B(l,;2, 3), C(2, - l, 2). (a) Find vectors AD, AC, nc. (b) Find AB+ DC, AB - AC, and 2AD. -->,,. /:rf!:,-t- f1c =-

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1871 Colby College Catalogue 1871-1872 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs

More information

H NT Z N RT L 0 4 n f lt r h v d lt n r n, h p l," "Fl d nd fl d " ( n l d n l tr l t nt r t t n t nt t nt n fr n nl, th t l n r tr t nt. r d n f d rd n t th nd r nt r d t n th t th n r lth h v b n f

More information

Oi ir\ o CM CM ! * - CM T. c *" H - VO - a CM - t - T - j. Vv VO r t- CO on *- t- «- - ** <* - CM CM CM b- f - on on. on CM CVJ t - o.

Oi ir\ o CM CM ! * - CM T. c * H - VO - a CM - t - T - j. Vv VO r t- CO on *- t- «- - ** <* - CM CM CM b- f - on on. on CM CVJ t - o. 292 b» CJ «n :T * v j U n n C l * n t l f VL. n n W n V ' n Ln fv C ), C n e. t f *" T V n! * t t T j t Vv V t l / n * t «** n Pk Q * Ph t * b T~! ^ v n f n n N n T n l f P n t. n pn «n =f LPv j t t n

More information

,., [~== -I ] ~y_/5 =- 21 Y -/ Y. t. \,X ::: 3J ~ - 3. Test: Linear equations and Linear inequalities. At!$fJJ' ~ dt~ - 5 = -7C +4 + re -t~ -+>< 1- )_

,., [~== -I ] ~y_/5 =- 21 Y -/ Y. t. \,X ::: 3J ~ - 3. Test: Linear equations and Linear inequalities. At!$fJJ' ~ dt~ - 5 = -7C +4 + re -t~ -+>< 1- )_ CST 11 Math - September 16 th, 2016 Test: Linear equations and Linear inequalities NAME: At!$fJJ' ~ Section: MCU504: -- - 86 1100 1. Solve the equations below: (4 marks) 2 5 a) 3("3 x -"3) = - x + 4 /{J1:x

More information

SOLUTION SET. Chapter 8 LASER OSCILLATION ABOVE THRESHOLD "LASER FUNDAMENTALS" Second Edition

SOLUTION SET. Chapter 8 LASER OSCILLATION ABOVE THRESHOLD LASER FUNDAMENTALS Second Edition SOLUTION SET Chapter 8 LASER OSCILLATION ABOVE THRESHOLD "LASER FUNDAMENTALS" Second Edition By William T. Silfvast - 1. An argon ion laser (as shown in Figure 10-S(b)) operating at 488.0 nm with a gainregion

More information

Integrated II: Unit 2 Study Guide 2. Find the value of s. (s - 2) 2 = 200. ~ :-!:[Uost. ~-~::~~n. '!JJori. s: ~ &:Ll()J~

Integrated II: Unit 2 Study Guide 2. Find the value of s. (s - 2) 2 = 200. ~ :-!:[Uost. ~-~::~~n. '!JJori. s: ~ &:Ll()J~ Name: 1. Find the value of r., (r + 4) 2 = 48 4_ {1 1:. r l f 11i),_ == :r (t~ : t %J3 (t:; KL\J5 ~ ~ v~~f3] ntegrated : Unit 2 Study Guide 2. Find the value of s. (s 2) 2 = 200 ~ :!:[Uost ~~::~~n '!JJori

More information

AP Calculus AB. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 1. Scoring Guideline.

AP Calculus AB. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 1. Scoring Guideline. 218 AP Calculus AB Sample Student Responses and Scoring Commentary Inside: Free Response Question 1 RR Scoring Guideline RR Student Samples RR Scoring Commentary 218 The College Board. College Board, Advanced

More information

rhtre PAID U.S. POSTAGE Can't attend? Pass this on to a friend. Cleveland, Ohio Permit No. 799 First Class

rhtre PAID U.S. POSTAGE Can't attend? Pass this on to a friend. Cleveland, Ohio Permit No. 799 First Class rhtr irt Cl.S. POSTAG PAD Cllnd, Ohi Prmit. 799 Cn't ttnd? P thi n t frind. \ ; n l *di: >.8 >,5 G *' >(n n c. if9$9$.jj V G. r.t 0 H: u ) ' r x * H > x > i M

More information

Statistics 512 Exam! September 25,2007

Statistics 512 Exam! September 25,2007 Statistics 512 Exam! September 25,2007 You may assume that all random variables have normal distributions. Also assume. that other conditions of analysis of variance are met, unless you are asked to test

More information

APPH 4200 Physics of Fluids

APPH 4200 Physics of Fluids APPH 4200 Physcs of Fluds A Few More Flud Insables (Ch. 12) Turbulence (Ch. 13) December 1, 2011 1.!! Vscous boundary layer and waves 2.! Sably of Parallel Flows 3.! Inroducon o Turbulence: Lorenz Model

More information

fur \ \,,^N/ D7,,)d.s) 7. The champion and Runner up of the previous year shall be allowed to play directly in final Zone.

fur \ \,,^N/ D7,,)d.s) 7. The champion and Runner up of the previous year shall be allowed to play directly in final Zone. OUL O GR SODRY DUTO, ODS,RT,SMTUR,USWR.l ntuctin f cnuct f Kbi ( y/gil)tunent f 2L-Lg t. 2.. 4.. 6. Mtche hll be lye e K ule f ene f tie t tie Dutin f ech tch hll be - +0 (Rece)+ = M The ticint f ech Te

More information

i;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s

i;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s 5 C /? >9 T > ; '. ; J ' ' J. \ ;\' \.> ). L; c\ u ( (J ) \ 1 ) : C ) (... >\ > 9 e!) T C). '1!\ /_ \ '\ ' > 9 C > 9.' \( T Z > 9 > 5 P + 9 9 ) :> : + (. \ z : ) z cf C : u 9 ( :!z! Z c (! $ f 1 :.1 f.

More information

Сборник 2 fhxn "HeHo, Dolty!" HAL LEONARD D/X/ELAND COMBO PAK 2 Music and Lyric by JERRY HERMÁN Arranged by PAUL SEVERSON CLARNET jy f t / / 6f /* t ü.. r 3 p i

More information

AMS 315/576 Lecture Notes. Chapter 11. Simple Linear Regression

AMS 315/576 Lecture Notes. Chapter 11. Simple Linear Regression AMS 315/576 Lecture Notes Chapter 11. Simple Linear Regression 11.1 Motivation A restaurant opening on a reservations-only basis would like to use the number of advance reservations x to predict the number

More information

Lesson Ten. What role does energy play in chemical reactions? Grade 8. Science. 90 minutes ENGLISH LANGUAGE ARTS

Lesson Ten. What role does energy play in chemical reactions? Grade 8. Science. 90 minutes ENGLISH LANGUAGE ARTS Lesson Ten What role does energy play in chemical reactions? Science Asking Questions, Developing Models, Investigating, Analyzing Data and Obtaining, Evaluating, and Communicating Information ENGLISH

More information

Math 308 Exam I Practice Problems

Math 308 Exam I Practice Problems Math 308 Exam I Practice Problems This review should not be used as your sole source of preparation for the exam. You should also re-work all examples given in lecture and all suggested homework problems..

More information

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f Essential Skills Chapter f ( x + h) f ( x ). Simplifying the difference quotient Section. h f ( x + h) f ( x ) Example: For f ( x) = 4x 4 x, find and simplify completely. h Answer: 4 8x 4 h. Finding the

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

Beechwood Music Department Staff

Beechwood Music Department Staff Beechwood Music Department Staff MRS SARAH KERSHAW - HEAD OF MUSIC S a ra h K e rs h a w t r a i n e d a t t h e R oy a l We ls h C o l le g e of M u s i c a n d D ra m a w h e re s h e ob t a i n e d

More information

PHYS 232 QUIZ minutes.

PHYS 232 QUIZ minutes. / PHYS 232 QUIZ 1 02-18-2005 50 minutes. This quiz has 3 questions. Please show all your work. If your final answer is not correct, you will get partial credit based on your work shown. You are allowed

More information

NVLAP Proficiency Test Round 14 Results. Rolf Bergman CORM 16 May 2016

NVLAP Proficiency Test Round 14 Results. Rolf Bergman CORM 16 May 2016 NVLAP Proficiency Test Round 14 Results Rolf Bergman CORM 16 May 2016 Outline PT 14 Structure Lamp Types Lab Participation Format for results PT 14 Analysis Average values of labs Average values of lamps

More information

Linear Correlation and Regression Analysis

Linear Correlation and Regression Analysis Linear Correlation and Regression Analysis Set Up the Calculator 2 nd CATALOG D arrow down DiagnosticOn ENTER ENTER SCATTER DIAGRAM Positive Linear Correlation Positive Correlation Variables will tend

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1870 Colby College Catalogue 1870-1871 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs

More information

Ğ ğ ğ Ğ ğ Öğ ç ğ ö öğ ğ ŞÇ ğ ğ

Ğ ğ ğ Ğ ğ Öğ ç ğ ö öğ ğ ŞÇ ğ ğ Ğ Ü Ü Ü ğ ğ ğ Öğ ş öğ ş ğ öğ ö ö ş ğ ğ ö ğ Ğ ğ ğ Ğ ğ Öğ ç ğ ö öğ ğ ŞÇ ğ ğ l _.j l L., c :, c Ll Ll, c :r. l., }, l : ö,, Lc L.. c l Ll Lr. 0 c (} >,! l LA l l r r l rl c c.r; (Y ; c cy c r! r! \. L : Ll.,

More information

R e p u b lic o f th e P h ilip p in e s. R e g io n V II, C e n tra l V isa y a s. C ity o f T a g b ila ran

R e p u b lic o f th e P h ilip p in e s. R e g io n V II, C e n tra l V isa y a s. C ity o f T a g b ila ran R e p u b l f th e P h lp p e D e p rt e t f E d u t R e V, e tr l V y D V N F B H L ty f T b l r Ju ly, D V N M E M R A N D U M N. 0,. L T F E N R H G H H L F F E R N G F R 6 M P L E M E N T A T N T :,

More information

APPH 4200 Physics of Fluids

APPH 4200 Physics of Fluids APPH 4200 Physics of Fluids Rotating Fluid Flow October 6, 2011 1.!! Hydrostatics of a Rotating Water Bucket (again) 2.! Bath Tub Vortex 3.! Ch. 5: Problem Solving 1 Key Definitions & Concepts Ω U Cylindrical

More information

Review: General Approach to Hypothesis Testing. 1. Define the research question and formulate the appropriate null and alternative hypotheses.

Review: General Approach to Hypothesis Testing. 1. Define the research question and formulate the appropriate null and alternative hypotheses. 1 Review: Let X 1, X,..., X n denote n independent random variables sampled from some distribution might not be normal!) with mean µ) and standard deviation σ). Then X µ σ n In other words, X is approximately

More information

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th n r t d n 20 2 :24 T P bl D n, l d t z d http:.h th tr t. r pd l 4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1872 Colby College Catalogue 1872-1873 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs

More information

Federal Project No.: To be assigned

Federal Project No.: To be assigned TTE ID FO O TNOTTION.Jl D INII EIINY DETEINTION EQET F, ti, illif tfl f f : -- Fl jt N.: T b i t: T i (T) t t : F: Jff i (xitl. il t f T ) T: Xl (xitl. il t f T ) T : F: xitl. il t f t T: T (xitl. il t

More information

I-1. rei. o & A ;l{ o v(l) o t. e 6rf, \o. afl. 6rt {'il l'i. S o S S. l"l. \o a S lrh S \ S s l'l {a ra \o r' tn $ ra S \ S SG{ $ao. \ S l"l. \ (?

I-1. rei. o & A ;l{ o v(l) o t. e 6rf, \o. afl. 6rt {'il l'i. S o S S. ll. \o a S lrh S \ S s l'l {a ra \o r' tn $ ra S \ S SG{ $ao. \ S ll. \ (? >. 1! = * l >'r : ^, : - fr). ;1,!/!i ;(?= f: r*. fl J :!= J; J- >. Vf i - ) CJ ) ṯ,- ( r k : ( l i ( l 9 ) ( ;l fr i) rf,? l i =r, [l CB i.l.!.) -i l.l l.!. * (.1 (..i -.1.! r ).!,l l.r l ( i b i i '9,

More information

WISE International Masters

WISE International Masters WISE International Masters ECONOMETRICS Instructor: Brett Graham INSTRUCTIONS TO STUDENTS 1 The time allowed for this examination paper is 2 hours. 2 This examination paper contains 32 questions. You are

More information

Institute of Actuaries of India

Institute of Actuaries of India Institute of Actuaries of India Subject CT3 Probability & Mathematical Statistics May 2011 Examinations INDICATIVE SOLUTION Introduction The indicative solution has been written by the Examiners with the

More information

Ranking accounting, banking and finance journals: A note

Ranking accounting, banking and finance journals: A note MPRA Munich Personal RePEc Archive Ranking accounting, banking and finance ournals: A note George Halkos and Nickolaos Tzeremes University of Thessaly, Department of Economics January 2012 Online at https://mpra.ub.uni-muenchen.de/36166/

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1866 Colby College Catalogue 1866-1867 Colby College Follow this and additional works at: http://digitalcommons.colby.edu/catalogs

More information

to", \~~!' LSI'r-=- 5 b H 2-l

to, \~~!' LSI'r-=- 5 b H 2-l Math 10 Name_\< Ei_' _ WORKSHEET 2.2 - Surface Area Part 1 - Find SA of different objects Usepage 3 of your data booklet to find the formulae for SAof objects! 1. Find the SA of the square pyramid below.

More information

H STO RY OF TH E SA NT

H STO RY OF TH E SA NT O RY OF E N G L R R VER ritten for the entennial of th e Foundin g of t lair oun t y on ay 8 82 Y EEL N E JEN K RP O N! R ENJ F ] jun E 3 1 92! Ph in t ed b y h e t l a i r R ep u b l i c a n O 4 1922

More information

l(- oo)-~j [-I <. )( L6\ \ -J ~ ~ ~~~ ~~L{ ,~:::-=r\ or L":: -j) {fevylemr.eor k, ("p J~ -4" e S ' e,~ :; ij or J iv I 0"'& ~~ a. 11 qa.

l(- oo)-~j [-I <. )( L6\ \ -J ~ ~ ~~~ ~~L{ ,~:::-=r\ or L:: -j) {fevylemr.eor k, (p J~ -4 e S ' e,~ :; ij or J iv I 0'& ~~ a. 11 qa. Algebra II Midterm Exam Review Solve: R view of Algebra 1 4. 215x + 31 = 16 /5xt3 1:: & 3 :: 2.1 3" ::. -J5 /,:::-=r\ or L":: -j) 2. II-2xl = 15 / j - ;).'1 -:.115 00( 1-).)(":.-15 - X-: 1"1 by:-t3-8 5

More information

Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2

Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork and res u lts 2 Internal Innovation @ C is c o 2 0 0 6 C i s c o S y s t e m s, I n c. A l l r i g h t s r e s e r v e d. C i s c o C o n f i d e n t i a l 1 Agenda Rationale for ETG S eek ing I d eas ETG fram ew ork

More information

Tausend Und Eine Nacht

Tausend Und Eine Nacht Connecticut College Digital Commons @ Connecticut College Historic Sheet Music Collection Greer Music Library 87 Tausend Und Eine Nacht Johann Strauss Follow this and additional works at: https:digitalcommonsconncolledusheetmusic

More information

l~ 0 0 'JL 1. )t\ 1-, 'x,,; 1-r

l~ 0 0 'JL 1. )t\ 1-, 'x,,; 1-r Test 1 Math 2407 Spring 2011 1. (9 points) For each of the following augmented matrices answer the following questions. ~ 1 0 0 5 6] i. [ 0 000 1 X( 1('1 7ty: Number of equations of the corresponding system

More information

Test 3 Practice Test A. NOTE: Ignore Q10 (not covered)

Test 3 Practice Test A. NOTE: Ignore Q10 (not covered) Test 3 Practice Test A NOTE: Ignore Q10 (not covered) MA 180/418 Midterm Test 3, Version A Fall 2010 Student Name (PRINT):............................................. Student Signature:...................................................

More information

Easy Steps to build a part number... Tri-Start Series III CF P

Easy Steps to build a part number... Tri-Start Series III CF P ulti-l i Oti iul ( oto) ow to O ol os sy ts to uil t u... i-tt is 1. 2 3 4. 5. 6. oto y til iis ll tyl ll iz- st t ott y & y/ ywy ositio 50 9 0 17-08 ol ulti-l i oti otos o us wit ulti-o sil o tii o y

More information

{nuy,l^, W%- TEXAS DEPARTMENT OT STATE HEALTH SERVICES

{nuy,l^, W%- TEXAS DEPARTMENT OT STATE HEALTH SERVICES TXAS DARTMT T STAT AT SRVS J RSTDT, M.D. MMSSR.. Bx 149347 Astn, T exs 7 87 4 93 47 18889371 1 TTY: l800732989 www.shs.stte.tx.s R: l nmtn n mps Webstes De Spentenent n Shl Amnsttn, eby 8,201 k 2007, the

More information

Properties of Graphs of Polynomial Functions Terminology Associated with Graphs of Polynomial Functions

Properties of Graphs of Polynomial Functions Terminology Associated with Graphs of Polynomial Functions Properties of Graphs of Polynomial Functions Terminology Associated with Graphs of Polynomial Functions Detennine what types of polynomial functions/, g, and hare graphed below Give a reason for your conclusions

More information

Grilled it ems are prepared over real mesquit e wood CREATE A COMBO STEAKS. Onion Brewski Sirloin * Our signature USDA Choice 12 oz. Sirloin.

Grilled it ems are prepared over real mesquit e wood CREATE A COMBO STEAKS. Onion Brewski Sirloin * Our signature USDA Choice 12 oz. Sirloin. TT & L Gl v l q T l q TK v i f i ' i i T K L G ' T G!? Ti 10 (Pik 3) -F- L P ki - ik T ffl i zzll ik Fi Pikl x i f l $3 (li 2) i f i i i - i f i jlñ i 84 6 - f ki i Fi 6 T i ffl i 10 -i i fi & i i ffl

More information

Statistics: CI, Tolerance Intervals, Exceedance, and Hypothesis Testing. Confidence intervals on mean. CL = x ± t * CL1- = exp

Statistics: CI, Tolerance Intervals, Exceedance, and Hypothesis Testing. Confidence intervals on mean. CL = x ± t * CL1- = exp Statistics: CI, Tolerance Intervals, Exceedance, and Hypothesis Lecture Notes 1 Confidence intervals on mean Normal Distribution CL = x ± t * 1-α 1- α,n-1 s n Log-Normal Distribution CL = exp 1-α CL1-

More information

THE WORLD BANK GROUP ARCHIVES PUBLIC DISCLOSURE AUTHORIZED

THE WORLD BANK GROUP ARCHIVES PUBLIC DISCLOSURE AUTHORIZED THE WORLD BANK GROUP ARCHIVES PUBLIC DISCLOSURE AUTHORIZED Folder Title: Finland-LN-61 - Photographs - Volume 1 Folder ID: 1721443 Fonds: Records of Office of External Affairs (WB IBRD/IDA EXT) Digitized:

More information

n r t d n :4 T P bl D n, l d t z d th tr t. r pd l

n r t d n :4 T P bl D n, l d t z d   th tr t. r pd l n r t d n 20 20 :4 T P bl D n, l d t z d http:.h th tr t. r pd l 2 0 x pt n f t v t, f f d, b th n nd th P r n h h, th r h v n t b n p d f r nt r. Th t v v d pr n, h v r, p n th pl v t r, d b p t r b R

More information

Chapter 30 Design and Analysis of

Chapter 30 Design and Analysis of Chapter 30 Design and Analysis of 2 k DOEs Introduction This chapter describes design alternatives and analysis techniques for conducting a DOE. Tables M1 to M5 in Appendix E can be used to create test

More information

TV Breakaway Fail-Safe Lanyard Release Plug Military (D38999/29 & D38999/30)

TV Breakaway Fail-Safe Lanyard Release Plug Military (D38999/29 & D38999/30) y il- y l l iliy (/9 & /0) O O O -..... 6.. O ix i l ll iz y o l yi oiio / 9. O / i --, i, i- oo. i lol il l li, oi ili i 6@0 z iiio i., o l y, 00 i ooio i oli i l li, 00 o x l y, 0@0 z iiio i.,. &. ll

More information

S U E K E AY S S H A R O N T IM B E R W IN D M A R T Z -PA U L L IN. Carlisle Franklin Springboro. Clearcreek TWP. Middletown. Turtlecreek TWP.

S U E K E AY S S H A R O N T IM B E R W IN D M A R T Z -PA U L L IN. Carlisle Franklin Springboro. Clearcreek TWP. Middletown. Turtlecreek TWP. F R A N K L IN M A D IS O N S U E R O B E R T LE IC H T Y A LY C E C H A M B E R L A IN T W IN C R E E K M A R T Z -PA U L L IN C O R A O W E N M E A D O W L A R K W R E N N LA N T IS R E D R O B IN F

More information

N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r n h r d r

N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r n h r d r n r t d n 20 2 04 2 :0 T http: hdl.h ndl.n t 202 dp. 0 02 000 N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp. 2 24. NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r

More information

The Effect of Urea on the Sedimentation Coefficient of the Curly Top Virus Dimer

The Effect of Urea on the Sedimentation Coefficient of the Curly Top Virus Dimer Utah State University DigitalCommons@USU Undergraduate Honors Theses Honors Program 1976 The Effect of Urea on the Sedimentation Coefficient of the Curly Top Virus Dimer Allen H. Smith Utah State University

More information

I n t e r n a t i o n a l E l e c t r o n i c J o u r n a l o f E l e m e n t a r y E.7 d u, c ai ts is ou n e, 1 V3 1o-2 l6, I n t h i s a r t

I n t e r n a t i o n a l E l e c t r o n i c J o u r n a l o f E l e m e n t a r y E.7 d u, c ai ts is ou n e, 1 V3 1o-2 l6, I n t h i s a r t I n t e r n a t i o n a l E l e c t r o n i c J o ue rlne am l e not fa r y E d u c a t i o n, 2 0 1 4, 1 37-2 ( 16 ). H o w R e a d i n g V o l u m e A f f e c t s b o t h R e a d i n g F l u e n c y

More information

AP Calculus BC. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 3. Scoring Guideline.

AP Calculus BC. Sample Student Responses and Scoring Commentary. Inside: Free Response Question 3. Scoring Guideline. 208 AP Calculus BC Sample Student Responses and Scoring Commentary nside: Free Response Question RR Scoring Guideline RR Student Samples RR Scoring Commentary 208 The College Board. College Board, Advanced

More information

< < or a. * or c w u. "* \, w * r? ««m * * Z * < -4 * if # * « * W * <r? # *» */>* - 2r 2 * j j. # w O <» x <» V X * M <2 * * * *

< < or a. * or c w u. * \, w * r? ««m * * Z * < -4 * if # * « * W * <r? # *» */>* - 2r 2 * j j. # w O <» x <» V X * M <2 * * * * - W # a a 2T. mj 5 a a s " V l UJ a > M tf U > n &. at M- ~ a f ^ 3 T N - H f Ml fn -> M - M. a w ma a Z a ~ - «2-5 - J «a -J -J Uk. D tm -5. U U # f # -J «vfl \ \ Q f\ \ y; - z «w W ^ z ~ ~ / 5 - - ^

More information

Lecture.10 T-test definition assumptions test for equality of two means-independent and paired t test. Student s t test

Lecture.10 T-test definition assumptions test for equality of two means-independent and paired t test. Student s t test Lecture.10 T-test definition assumptions test for equality of two means-independent and paired t test Student s t test When the sample size is smaller, the ratio will follow t distribution and not the

More information

i.ea IE !e e sv?f 'il i+x3p \r= v * 5,?: S i- co i, ==:= SOrq) Xgs'iY # oo .9 9 PE * v E=S s->'d =ar4lq 5,n =.9 '{nl a':1 t F #l *r C\ t-e

i.ea IE !e e sv?f 'il i+x3p \r= v * 5,?: S i- co i, ==:= SOrq) Xgs'iY # oo .9 9 PE * v E=S s->'d =ar4lq 5,n =.9 '{nl a':1 t F #l *r C\ t-e fl ) 2 ;;:i c.l l) ( # =S >' 5 ^'R 1? l.y i.i.9 9 P * v ,>f { e e v? 'il v * 5,?: S 'V i: :i (g Y 1,Y iv cg G J :< >,c Z^ /^ c..l Cl i l 1 3 11 5 (' \ h 9 J :'i g > _ ^ j, \= f{ '{l #l * C\? 0l = 5,

More information

r(j) -::::.- --X U.;,..;...-h_D_Vl_5_ :;;2.. Name: ~s'~o--=-i Class; Date: ID: A

r(j) -::::.- --X U.;,..;...-h_D_Vl_5_ :;;2.. Name: ~s'~o--=-i Class; Date: ID: A Name: ~s'~o--=-i Class; Date: U.;,..;...-h_D_Vl_5 _ MAC 2233 Chapter 4 Review for the test Multiple Choice Identify the choice that best completes the statement or answers the question. 1. Find the derivative

More information

- - t D -!> TO. z. $1 V\c..t. - - To. e- 0 ~ "'2'('\" ~~1( ---->-... .;. s-c ().)e.. t..o.y\ w ('\ ~-e._. To :::. \ ~ ~ = T() c~> f.::.

- - t D -!> TO. z. $1 V\c..t. - - To. e- 0 ~ '2'('\ ~~1( ---->-... .;. s-c ().)e.. t..o.y\ w ('\ ~-e._. To :::. \ ~ ~ = T() c~> f.::. j_, \i~ \_t>~ Tc ~ 1-a... i-e_ -ztl ~\G\.Y\S? ' e.j. Ti> ::::. l.sec:. 9 "f"'lft 0. t L 'A -zrr \f''4el..4(' c... Tc Tb=- ;1o 11.. c_ => J () 't '2Tlv-~~ec. - - To $,'b \j'-o t-o,}rt.\m - 'Z. Tr - - CQ.

More information

51"41A. It^ Unadjusted group means and standard deviations. Descriptives. Lower Bound

5141A. It^ Unadjusted group means and standard deviations. Descriptives. Lower Bound .p. Mitirt 51"41A LOLA". PA) Oietn AAA1-) It^ vils( -1-tArt- 6 /t KA-A-A-- -c ve,e1431,la-,t( i_acvm,c5 Lefy "Ac-- The DV is what is being measured. t)j._ /AAA.. Om-- 14(1 At41"14 # of posts per participant

More information

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /1/2016 1/46

Dr. Junchao Xia Center of Biophysics and Computational Biology. Fall /1/2016 1/46 BIO5312 Biostatistics Lecture 10:Regression and Correlation Methods Dr. Junchao Xia Center of Biophysics and Computational Biology Fall 2016 11/1/2016 1/46 Outline In this lecture, we will discuss topics

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

V o. 'f o. 'NJ. 'Ni c.. l ~ u u. YI \lv\ ~ ~ f fov c.tr '+- Cu w11.t r M o'n ~\'1

V o. 'f o. 'NJ. 'Ni c.. l ~ u u. YI \lv\ ~ ~ f fov c.tr '+- Cu w11.t r M o'n ~\'1 la~t ~'fr\l. 1.. i~: ~ =-M:X tb Cirili. lx-~~t ly-~)\ fi. Tu~ll~: ~ Hli'JJ'"~ \WWI 1 we' II 'vj YH'\~ i\i\ M1t. t 0 V o. 'f o. 'NJ. 'Ni c.. l ~ u u. YI \lv\ ~ ~ f fov c.tr '+- Cu w11.t r M o'n ~\'1 ~I

More information

MAT292 - Calculus III - Fall Solution for Term Test 2 - November 6, 2014 DO NOT WRITE ON THE QR CODE AT THE TOP OF THE PAGES.

MAT292 - Calculus III - Fall Solution for Term Test 2 - November 6, 2014 DO NOT WRITE ON THE QR CODE AT THE TOP OF THE PAGES. MAT9 - Calculus III - Fall 4 Solution for Term Test - November 6, 4 Time allotted: 9 minutes. Aids permitted: None. Full Name: Last First Student ID: Email: @mail.utoronto.ca Instructions DO NOT WRITE

More information

(tnaiaun uaejna) o il?smitfl?^ni7wwuiinuvitgviisyiititvi2a-a a imaviitjivi5a^ qw^ww^i fiaa!i-j?s'u'uil?g'ijimqwuwiijami.wti. a nmj 1,965,333.

(tnaiaun uaejna) o il?smitfl?^ni7wwuiinuvitgviisyiititvi2a-a a imaviitjivi5a^ qw^ww^i fiaa!i-j?s'u'uil?g'ijimqwuwiijami.wti. a nmj 1,965,333. 0 fltu77jjiimviu«7mi^ gi^"ijhm?'ijjw?flfi^ V m 1 /14 il?mitfl?^i7wwuiinuvitgviiyiititvi2- imviitvi^ qw^ww^i fi!i-j?'u'uil?g'iqwuwiijmi.wti twwrlf^ imii2^

More information

PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D D r r. Pr d nt: n J n r f th r d t r v th tr t d rn z t n pr r f th n t d t t. n

PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D D r r. Pr d nt: n J n r f th r d t r v th tr t d rn z t n pr r f th n t d t t. n R P RT F TH PR D NT N N TR T F R N V R T F NN T V D 0 0 : R PR P R JT..P.. D 2 PR L 8 8 J PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D.. 20 00 D r r. Pr d nt: n J n r f th r d t r v th

More information

Math 308 Exam I Practice Problems

Math 308 Exam I Practice Problems Math 308 Exam I Practice Problems This review should not be used as your sole source for preparation for the exam. You should also re-work all examples given in lecture and all suggested homework problems..

More information

necessita d'interrogare il cielo

necessita d'interrogare il cielo gigi nei necessia d'inegae i cie cic pe sax span s inuie a dispiegaa fma dea uce < affeandi ves i cen dea uce isnane " sienzi dei padi sie veic dei' anima 5 J i f H 5 f AL J) i ) L '3 J J "' U J J ö'

More information

ODE Math 3331 (Summer 2014) June 16, 2014

ODE Math 3331 (Summer 2014) June 16, 2014 Page 1 of 12 Please go to the next page... Sample Midterm 1 ODE Math 3331 (Summer 2014) June 16, 2014 50 points 1. Find the solution of the following initial-value problem 1. Solution (S.O.V) dt = ty2,

More information

Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v

Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v ll f x, h v nd d pr v n t fr tf l t th f nt r n r

More information

'NOTAS"CRITICAS PARA UNA TEDRIA DE M BUROCRACIA ESTATAL * Oscar Oszlak

'NOTASCRITICAS PARA UNA TEDRIA DE M BUROCRACIA ESTATAL * Oscar Oszlak OVí "^Ox^ OqAÍ"^ Dcument SD-11 \ 'NOTAS"CRTCAS PARA UNA TEDRA DE M BUROCRACA ESTATAL * Oscr Oszlk * El presente dcument que se reprduce pr us exclusv de ls prtcpntes de curss de Prrms de Cpctcón, se h

More information

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f n r t d n 20 2 : 6 T P bl D n, l d t z d http:.h th tr t. r pd l 22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r

More information

Exam I CH 301H Fall '10

Exam I CH 301H Fall '10 Exam I CH 301H Fall '10 Vanden Bout Name: ---L\(...JO-E...;,l Carefully read all the problems (your exam should have 12 problems) Show all your work on numerical problems Clearly mark your answers If you

More information

0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r

0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r n r t d n 20 22 0: T P bl D n, l d t z d http:.h th tr t. r pd l 0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n.

More information

Inference for Regression Simple Linear Regression

Inference for Regression Simple Linear Regression Inference for Regression Simple Linear Regression IPS Chapter 10.1 2009 W.H. Freeman and Company Objectives (IPS Chapter 10.1) Simple linear regression p Statistical model for linear regression p Estimating

More information

ON THE HARMONIC SUMMABILITY OF DOUBLE FOURIER SERIES P. L. SHARMA

ON THE HARMONIC SUMMABILITY OF DOUBLE FOURIER SERIES P. L. SHARMA ON THE HARMONIC SUMMABILITY OF DOUBLE FOURIER SERIES P. L. SHARMA 1. Suppose that the function f(u, v) is integrable in the sense of Lebesgue, over the square ( ir, ir; it, it) and is periodic with period

More information