e) r a9".^) -FaBn^- &* B(*pl *hr_*lma:n* u
|
|
- Gertrude James
- 6 years ago
- Views:
Transcription
1 SL SIc1- tal 1. (a) State the conditions under which the Poisson distribution may be used as an approximation to the binomial distribution. (1) A farmer supplies a bakery with eggs. The manager of the bakery claims that the proportion of eggs having a double yolk is The farmer claims that the proportion of his eggs having a double yolk is more than (b) State suitable hypotheses for testing these claims. (1) In a batch of 500 eggs the baker records 9 eggs with a double yolk. (c) Using a suitable approximation, test atthe 5Yo level of significance whether or not this supports the farmer's claim. (s) e) r a9".^) -FaBn^- &* B(*pl *hr_*lma:n* u b) Hol A'0:0Ou)-.tk i )r>-u -oo5 cltu Po(o.0m) 7- = th an* u,rrtt^* o Jo"f*r* U'lt*--' '- c) **B(smy&ooa)-B t,-0o [+.s) 0(r", t) P_(x>s),-i-ff-eg) ;l - A*'t-? # {-t* prsrch*\s hi1!^.or o &!ct LLer^,.
2 The amount of flour used by a factory in a week is Ithousand kg where lhas probability density function (a) Show that the value of k is 1 Use algebraic integration to find r(v)= [og-r'l o(v(2 \// O otherwise (4) (b) the mean number of kilograms of flour used by the factory in a week, (4) (c) the standard deviation of the number of kilograms of flour used by the factory in a week, (s) at) (d) the probability that more than 1500 kg of flour will be used by the factory next week. f6p'r 4 t^jit =t --lr Iu\-tt']I]\ a) his- tj z r- ali$;,i -"- tt? *t D--ei1), JiUt, J:*rfoo* - lqrn - *l"r-r, --;afeuitsolj = 6) -e(t');ji,frr)ry ---r!fl: t =ff:4r"t v (.r) = Q(S)- (r)' = +- (t)' J1+ =L* v uy=-t-gr-tlylj - t -{4J- =* :- gy=,l$ = o.j{+ "#tet'- ot'v.l s t'f ;, 0- fq:is), t- FGi):. I - ['s 3i*fl45 I al- trt-*fj';' Je.ossq i t_-
3 The continuous random variable 7 is uniformly distributed on the interval la,pl where B > a Given that E(fl :2 and,var(o : {, frrrd 3' (a) the value of a and the value of B, (b) P(7 < 3.4) kil sl '-) * =2--r), v(r);8 " (d, ',* - 6*-L_/tb= L,-> + u\-f (r.3,q) = 39-. s. \. g T : S'6}z3 a- --
4 4. Pieces of ribbon are cut to length Z cm where.l - N(7-r, 0.52) (a) Given that 30Yo of the pieces of ribbon have length more than 100 cm, find the value of p to the nearest 0.1 cm. John selects 12 pieces of ribbon at random. (b) Find the probability that fewer than 3 of these pieces of ribbon have length more than 100 cm. Aditi selects 400 pieces of ribbon at random. (c) Using a suitable approximation, find the probability that more than 127 of these pieces of ribbon will have lengih more than 100 cm. (6) 6) f ( r- >ltx)), O'3O z) eq? tq-f ) =o'3o Lt /, paraf,r*+.q* E o.s*4.'. l^= ai "+ *-"- -7- b) CC = t? pre,ta-\n'r rbhan \ll^.r,d^ ^^-r: "-t&l^ ilb(qo3) P(a<3),PL'x.ez) : Q.ZSZ8 c) /^rr.e ; lzo e'b(+oro 3) o",,np-(r-p)'- 8y r) g{ &r', N (raor-g-rr)
5 5. A company claims that 35o/o of its peas germinate. In order to test this claim Ann decides to plant 15 of these peas and record the number which germinate. (a) (i) State suitable hypotheses for a two-tailed test of this claim. (ii) Using a 5o/o level of significance, find an appropriate critical region for this test. The probability in each of the tails should be as close to 2.5o/o as possible. (4) (b) Axn found that 8 of the 15 peas germinated. State whether or not the company's claim is supported. Give a reason for your answer. (2) (c) State the actual significance level of this test. (1) i H,o '.? -- o.3j t{t )? fo.3s li)?(v( L) eo-ozs?{x,,tr)eos}s P&i1),0,06(+ :.p(lg u-t)*o.1i{ j. Lr_t &x gr ).= o.g l+r * _: r^_t={ 0 (z* t ) = oo tvl*? (f>-rra)r I-P{rg u-t)'uoo?s - -t [o* rcs-su trosrflsi l, 8-0,oe+ -rnd" (all- ru*lro- t!a,.- C(L :- t{&- c** t9- n(k Sr-gnr*4.t ca+j-" rr.ilf kto.gg\,l*c.u.sfle(c.- hr-c3eck nr,u4- :- c(*r,^.r Soppl^f*eA.. _d *A_SL_.r O:-ol!r2 * c_ 7). C-236_ -2.66{ - O'O t2-t+
6 6. A continuous random variable Xhas cumulative distribution function F(x) given by F(x) = 0 x(0 2 \(g-z*l o(x(2 20' x)2 (a) Verifli that the median ofxlies between 1.23 and 1.24 (b) Specifi tully the probability density function f(x). (c) Find the mode ofx. (d) Describe the skewness of this distribution. Justify your answer.,.\ F ( r-es) z Q 'q qs (-0'{ - Srnro- f(ad;o:{ -.' F(f -L\), Q-! >,0.S -- (.28,(Oz c t:la (2) e),,) +(d=$xr); #(qi_- #l " *1r.-H.4 c)_,) 'i{-x- ao -:. f\aor -= f :S r\a"oje, :. f\oj,&*,^r*, 6lr*.r*
7 7. Flaws occur at random in a particular type of material at a mean rate of 2 per 50 m. (a) Find the probability that in a randomly chosen 50 m length of this material there will be exactly 5 flaws. (2) This material is sold in rolls of length 200 m. Susie buys 4 rolls of this material. (b) Find the probability that only one of these rolls will have fewer thant flaws. (6) A piece of this material of length x m is produced. Using a normal approximation, the probability that this piece of material contains fewer than26 flaws is (c) Find the value of x. (8) P(z=S), L-n *Ls.= O.o3bl = -il 3 =-U. f(qo,r &dr?jdna i-ke) * p(t.+):itgso = o.3r3t ( l* ootts w rll& <.[(""r^-1 ffb (4, O ;3t3O qcio'36+' Pftr:\) = 0'6r6f,,.= o,40s6
8 fl\ = * flooos W OCcn ffirv P, (A,-) A" = *.p(m.g.. p(m(zs.s) t rh- N(tr'/A{ Ph -. as) y? (z< as-'ld') = 0's31t 0(o't)=0's31s' -)\ / 2S.S -A' = O"\ *> Az + O.r tr - 2S.S : () -X r--a (9 loa'+\-zss: o =ffi> ^=.-l?.r) (rrl+sl X\-s).: A,=5 z) 25= -L ',a 1? L'- 625 n^r Lr2.
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~,. :'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 informationS2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009
S2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009 SECTION 1 The binomial and Poisson distributions. Students will be expected to use these distributions to model a real-world
More informationn
p l p bl t n t t f Fl r d, D p rt nt f N t r l R r, D v n f nt r r R r, B r f l. n.24 80 T ll h, Fl. : Fl r d D p rt nt f N t r l R r, B r f l, 86. http://hdl.handle.net/2027/mdp.39015007497111 r t v n
More informationAPPH 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 informationT 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 information4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd
n r t d n 20 20 0 : 0 T P bl D n, l d t z d http:.h th tr t. r pd l 4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n,
More informationEdexcel GCE Statistics 2 Binomial, Poisson and Approximations.
Edexcel GCE Statistics 2 Binomial, Poisson and Approximations. Edited by: K V Kumaran kumarmaths.weebly.com 1 kumarmaths.weebly.com 2 kumarmaths.weebly.com 3 kumarmaths.weebly.com 4 kumarmaths.weebly.com
More informationI-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. \ (?
>. 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 information35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3
- - - - ff ff - - - - - - B B BB f f f f f f f 6 96 f f f f f f f 6 f LF LZ f 6 MM f 9 P D RR DD M6 M6 M6 M. M. M. M. M. SL. E 6 6 9 ZB Z EE RC/ RC/ RC/ RC/ RC/ ZM 6 F FP 6 K KK M. M. M. M. M M M M f f
More informationI 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 information176 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 informationH 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 information46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th
n r t d n 20 0 : T P bl D n, l d t z d http:.h th tr t. r pd l 46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l
More informationTh 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 information828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t
2Â F b. Th h ph rd l nd r. l X. TH H PH RD L ND R. L X. F r, Br n, nd t h. B th ttr h ph rd. n th l f p t r l l nd, t t d t, n n t n, nt r rl r th n th n r l t f th f th th r l, nd d r b t t f nn r r pr
More informationPR 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 informationEDEXCEL S2 PAPERS MARK SCHEMES AVAILABLE AT:
EDEXCEL S2 PAPERS 2009-2007. MARK SCHEMES AVAILABLE AT: http://www.physicsandmathstutor.com/a-level-maths-papers/s2-edexcel/ JUNE 2009 1. A bag contains a large number of counters of which 15% are coloured
More informationwo(..lr.i L"'J b]. tr+ +&..) i'> 't\uow).,...,. (o.. J \,} --ti \(' m'\...\,,.q.)).
Applying Theorems in Calculus 11ter111ediate Value Theorem, Ettreme Value Theorem, Rolle 's Theorem, and l\ea11 Value Theorem Before we begin. let's remember what each of these theorems says about a function.
More informationii) fl(alzlo)=l-f.(aoeq,), r-o.sr+q, + c'9f2s
sl stq utl- 1. Patients arrive at a hospital accident and emergency department at random at a tate of 6 per hour. (a) Find the probability that, during any 90 minute period, the number of patients arriving
More informationVr Vr
F rt l Pr nt t r : xt rn l ppl t n : Pr nt rv nd PD RDT V t : t t : p bl ( ll R lt: 00.00 L n : n L t pd t : 0 6 20 8 :06: 6 pt (p bl Vr.2 8.0 20 8.0. 6 TH N PD PPL T N N RL http : h b. x v t h. p V l
More informationFuture 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 informationto", \~~!' 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 informationl f t n nd bj t nd x f r t l n nd rr n n th b nd p phl t f l br r. D, lv l, 8. h r t,., 8 6. http://hdl.handle.net/2027/miun.aey7382.0001.001 P bl D n http://www.hathitrust.org/access_use#pd Th r n th
More informationF l a s h-b a s e d S S D s i n E n t e r p r i s e F l a s h-b a s e d S S D s ( S o-s ltiad t e D r i v e s ) a r e b e c o m i n g a n a t t r a c
L i f e t i m e M a n a g e m e n t o f F l a-b s ah s e d S S D s U s i n g R e c o v e r-a y w a r e D y n a m i c T h r o t t l i n g S u n g j i n L e, e T a e j i n K i m, K y u n g h o, Kainmd J
More informationColby 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 informationOH 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 informationSOUTHWESTERN 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 informationn 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,. *â â > V>V. â ND * 828.
BL D,. *â â > V>V Z V L. XX. J N R â J N, 828. LL BL D, D NB R H â ND T. D LL, TR ND, L ND N. * 828. n r t d n 20 2 2 0 : 0 T http: hdl.h ndl.n t 202 dp. 0 02802 68 Th N : l nd r.. N > R, L X. Fn r f,
More information'NOTAS"CRITICAS 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 informationDec. 3rd Fall 2012 Dec. 31st Dec. 16th UVC International Jan 6th 2013 Dec. 22nd-Jan 6th VDP Cancun News
Fll 2012 C N P D V Lk Exii Aii Or Bifl Rr! Pri Dk W ri k fr r f rr. Ti iq fr ill fr r ri ir. Ii rlxi ill fl f ir rr r - i i ri r l ll! Or k i l rf fr r r i r x, ri ir i ir l. T i r r Cri r i l ill rr i
More informationPOISSON RANDOM VARIABLES
POISSON RANDOM VARIABLES Suppose a random phenomenon occurs with a mean rate of occurrences or happenings per unit of time or length or area or volume, etc. Note: >. Eamples: 1. Cars passing through an
More informationExhibit 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 information0 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 informationTh pr nt n f r n th f ft nth nt r b R b rt Pr t r. Pr t r, R b rt, b. 868. xf rd : Pr nt d f r th B bl r ph l t t th xf rd n v r t Pr, 00. http://hdl.handle.net/2027/nyp.33433006349173 P bl D n n th n
More informationi;\-'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 informationP 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 informationD t r l f r th n t d t t pr p r d b th t ff f th l t tt n N tr t n nd H n N d, n t d t t n t. n t d t t. h n t n :.. vt. Pr nt. ff.,. http://hdl.handle.net/2027/uiug.30112023368936 P bl D n, l d t z d
More informationDr. Maddah ENMG 617 EM Statistics 10/15/12. Nonparametric Statistics (2) (Goodness of fit tests)
Dr. Maddah ENMG 617 EM Statistics 10/15/12 Nonparametric Statistics (2) (Goodness of fit tests) Introduction Probability models used in decision making (Operations Research) and other fields require fitting
More informationSOLUTION 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 informationfur \ \,,^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 informationR 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 informationLabor and Capital Before the Law
University of Michigan Law School University of Michigan Law School Scholarship Repository Articles Faculty Scholarship 1884 Labor and Capital Before the Law Thomas M. Cooley University of Michigan Law
More informationI 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 information22 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 informationrhtre 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 informationb 4. This quarter is approximately 2.5 em wide. Estimate how long the line is using the quarter as a referent.
Name: Class: -:;:::======~_Date: _ ""--
More informationIntegrated 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 informationEd H. H w H Ed. en 2: Ed. o o o z. o o. Q Ed. Ed Q to. PQ in o c3 o o. Ed P5 H Z. < u z. Ed H H Z O H U Z. > to. <! Ed Q. < Ed > Es.
d n 2: d t d t d! d d 52 d t d d P in t d. d P5 d - d d , d P il 0) m d p P p x d d n N r -^ T) n «n - P & J (N 0 ' 4 «"«5 -» % «D *5JD V 9 * * /J -2.2 " ^ 0 n 0) - P - i- 0) G V V - 1(2). i 1 1 & i '
More informationA/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 informationt t t ér t rs r t ét q s
rés té t rs té s é té r t q r r ss r t t t ér t rs r t ét q s s t t t r2 sé t Pr ss r rs té P r s 2 t Pr ss r rs té r t r r ss s Pr ss r rs té P r q r Pr ss r t r t r r t r r Prés t r2 r t 2s Pr ss r rs
More information(ril"s::lli '*Y, ,dr4{n. w.j. ",;:ii:{..._, I i,ai I. AOEP'IIICKOTO MyHI4TIUIIA.JTbHO O PAI,rOrrA nepmckoto KpA.fl TIOCTAHOBJTEHPIE
'*Y w.j TOCTOBJTEPE.MCTPU{ OEP'CKOTO MyTU.JTbO O PrOrr EPMCKOTO Kp.fl 26.02.20t3 e387 -l fo uecet Meellf [epe.rer 3eMeJrbbr ycrkb rrperr3ebr r pecrbjreg MferbM cembfl Mr ytbeprme r ctbjrerrem MrcTpr r
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...
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 informationv f e - w e ^ C c ^ ^ o e s r v i c e ^ ^.
* * >>'.* v. K *. V-Vv, : *. v - ' *.. v ;,-:-v -; v r ^ y c - : -, - r r : r * < : ~ : >, -. ^ * "--* * - * -ui.t-l.2,u?.:^_ a..., : w.--j.i: :-.; rr - a i r /-».. i v ' ^ 4. * '... ' J \ - ;/>»-
More informationr(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 informationA GENERALIZED UPPER. AND LOWER SOLUTIONS METHOD FOR NONLINEAR SECOND ORDER. ORDINARY DIFFEINTIAL EQUATIONS x
Applied Mathematics and Stochastic Analysis 5, Number 2, Summer 1992, 157-166 A GENERALIZED UPPER. AND LOWER SOLUTIONS METHOD FOR NONLINEAR SECOND ORDER. ORDINARY DIFFEINTIAL EQUATIONS x JUAN J. NIETO
More information~i~, ~';J M.1 "A.X;t7~~
Ci1 ;w -,IL I MX-- AA.R- v-r ';t ""lz"""" f 7ll\1. 13/cd Vt.dJt-l (l{ t f1.)-: ) -;::- r,.o.
More informationFOR TESTING THill POWER PLANT STANLEY STEAM AUTOMOBILE SOME TESTS MADE WITH IT. A Thesis surmitted to the
..' -...,-.....,.; \'
More informationColby 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 informationTausend 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 informationBeechwood 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 informationRobado del Archivo del Dr. Antonio Rafael de la Cova
Robado del Archvo del Dr. Antono Raael de la Cova http:www.latnamercanstudes.org/ Muster Roll: 655-858. Under ea.ch COlnl?ny are recorded the nams o the man wth nom.:lton show ng ran.'l< when hare and
More information4r, o I. >fi. a IE. v atr. ite. a z. a til. o a. o o. 0..c. E lrl .',,# View thousands of Crane Specifications on FreeCraneSpecs.
i View husns Crne Speiiins n reecrnespes.m :: :r R: 8 @ il llj v u L u 4r,? >i C) lrl? n R 0&l r'q1 rlr n rrei i 5 n llvvj lv 8 s S llrvvj Sv TT [ > 1 \ l? l:i rg l n - l l. l8 l l 5 l u r l 9? { q i :{r.
More informationQJ) Zz LI Zz. Dd Jj. Jj Ww J' J Ww. Jj Ww. Jj I\~~ SOUN,DS AND LETTERS
SOUN,DS AND LETTERS.--< Say the name of each picture.llsten to the first sound. Then circle the letters with that"sound..-.. Dd QJ) Jj Ww J' J Ww Zz LI Zz Dd Jj Ww Dd Jj Zz Jj LI Ww Jj LI Ww Jj Ww Zz Dd
More information5 s. 00 S aaaog. 3s a o. gg pq ficfi^pq. So c o. H «o3 g gpq ^fi^ s 03 co -*«10 eo 5^ - 3 d s3.s. as fe«jo. Table of General Ordinances.
5 s Tble f Generl rinnes. q=! j-j 3 -ri j -s 3s m s3 0,0 0) fife s fert " 7- CN i-l r-l - p D fife s- 3 Ph' h ^q 3 3 (j; fe QtL. S &&X* «««i s PI 0) g #r
More information4 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 informationUNIVERSITY OF SWAZILAND SUPPLEMENTARY EXAMINATION PAPER 2015 CALCULATOR AND STATISTICAL TABLES
UNIVERSITY OF SWAZILAND SUPPLEMENTARY EXAMINATION PAPER 2015 TITLE OF PAPER INFERENTIAL STATISTICS COURSE CODE ST 220 TIME ALLOWED REQUIREMENTS INSTRUCTIONS TWO (2) HOURS CALCULATOR AND STATISTICAL TABLES
More informationS2 PAST PAPERS JUNE 2017 TO JANUARY MARK SCHEME FOR 2017 INCLUDED HERE, OTHERS AT
MARK SCHEMES AT www.physicsandmathstutor.com/a-level-maths-papers/s-edexcel/ S PAST PAPERS JUNE 07 TO JANUARY 00. MARK SCHEME FOR 07 INCLUDED HERE, OTHERS AT www.physicsandmathstutor.com/a-level-maths-papers/s-edexcel/
More informationl [ L&U DOK. SENTER Denne rapport tilhører Returneres etter bruk Dokument: Arkiv: Arkivstykke/Ref: ARKAS OO.S Merknad: CP0205V Plassering:
I Denne rapport thører L&U DOK. SENTER Returneres etter bruk UTLÅN FRA FJERNARKIVET. UTLÅN ID: 02-0752 MASKINVN 4, FORUS - ADRESSE ST-MA LANETAKER ER ANSVARLIG FOR RETUR AV DETTE DOKUMENTET. VENNLIGST
More informationChapter 7: Hypothesis Testing
Chapter 7: Hypothesis Testing *Mathematical statistics with applications; Elsevier Academic Press, 2009 The elements of a statistical hypothesis 1. The null hypothesis, denoted by H 0, is usually the nullification
More informationPhysicsAndMathsTutor.com. International Advanced Level Statistics S2 Advanced/Advanced Subsidiary
Write your name here Surname Other names Pearson Edexcel International Advanced Level Centre Number Statistics S2 Advanced/Advanced Subsidiary Candidate Number Monday 22 June 2015 Morning Time: 1 hour
More informationECE 4213/5213 Test 1. SHOW ALL OF YOUR WORK for maximum partial credit! GOOD LUCK!
ECE 4213/5213 Test 1 Fall 2018 Dr. Havlicek Monday, October 15, 2018 4:30 PM - 5:45 PM Name: S_O_L_U_'T_I Q_t\l Student Num: Directions: This test is open book. You may also use a calculator, a clean copy
More informationHumanistic, and Particularly Classical, Studies as a Preparation for the Law
University of Michigan Law School University of Michigan Law School Scholarship Repository Articles Faculty Scholarship 1907 Humanistic, and Particularly Classical, Studies as a Preparation for the Law
More informationSTAT100 Elementary Statistics and Probability
STAT100 Elementary Statistics and Probability Exam, Sample Test, Summer 014 Solution Show all work clearly and in order, and circle your final answers. Justify your answers algebraically whenever possible.
More informationo C *$ go ! b», S AT? g (i * ^ fc fa fa U - S 8 += C fl o.2h 2 fl 'fl O ' 0> fl l-h cvo *, &! 5 a o3 a; O g 02 QJ 01 fls g! r«'-fl O fl s- ccco
> p >>>> ft^. 2 Tble f Generl rdnes. t^-t - +«0 -P k*ph? -- i t t i S i-h l -H i-h -d. *- e Stf H2 t s - ^ d - 'Ct? "fi p= + V t r & ^ C d Si d n. M. s - W ^ m» H ft ^.2. S'Sll-pl e Cl h /~v S s, -P s'l
More informationBACHELOR'S DEGREE PROGRAMME (BDP) Term-End Examination June, 2017
No. of Printed Pages : 8 MTE-10 BACHELOR'S DEGREE PROGRAMME (BDP) Term-End Examination June, 2017 1 E- 27D ELECTIVE COURSE : MATHEMATICS MTE-10 : NUMERICAL ANALYSIS Time : 2 hours Maximum Marks : 50 (Weightage
More informationHMX 4681 Kratos. Apollo N CD 5, IP,
PUXP 2791 PUXP 2782 Ares PUXP 2618 onus PUXP 2719.7) C 1 HMX 4681 Kratos Apollo N Gladiator PUXP 2724 Magic Lantern Magic Wand HMX 468 4 P 'n < A: g. -P ' k...) 4,235 3,63 'LA.4= 2,94 2,178 U.) '-." (...)
More informationUNIVERSITY OF SWAZILAND MAIN EXAMINATION PAPER 2015 PROBABILITY AND STATISTICS ANSWER ANY FIVE QUESTIONS.
UNIVERSITY OF SWAZILAND MAIN EXAMINATION PAPER 2015 TITLE OF PAPER PROBABILITY AND STATISTICS COURSE CODE EE301 TIME ALLOWED 3 HOURS INSTRUCTIONS ANSWER ANY FIVE QUESTIONS. REQUIREMENTS SCIENTIFIC CALCULATOR
More informationAdvanced/Advanced Subsidiary. You must have: Mathematical Formulae and Statistical Tables (Blue)
Write your name here Surname Other names Pearson Edexcel International Advanced Level Centre Number Statistics S2 Advanced/Advanced Subsidiary Candidate Number Monday 22 June 2015 Morning Time: 1 hour
More informationMPM 2D Final Exam Prep 2, June b) Y = 2(x + 1)2-18. ~..: 2. (xl- 1:'}")( t J') -' ( B. vi::: 2 ~ 1-'+ 4 1<. -t-:2 -( 6! '.
MPM 2D Final Exam Prep 2 June 2017 1. Express each equation in standard form and factored form: ~ ~ +et's 'leu t W (.. ".>tak( a) y = (x + 5)2 + 1 on ::t~'t.{1'" ~heeh v 1' K 1 C'. T.) '. (J. lr lov J
More informationExecutive 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 informationBusiness Statistics. Chapter 6 Review of Normal Probability Distribution QMIS 220. Dr. Mohammad Zainal
Department of Quantitative Methods & Information Systems Business Statistics Chapter 6 Review of Normal Probability Distribution QMIS 220 Dr. Mohammad Zainal Chapter Goals After completing this chapter,
More informationYORK UNIVERSITY. Faculty of Science and Engineering Faculty of Liberal Arts and Professional Studies MATH A Test #2.
YORK UNIVERSITY Faculty of Science and Engineering Faculty of Liberal Arts and Professional Studies MATH 317 6. A Test #2 June 27, 212 Surname (print): Given Name: Student No: Signature: INSTRUCTIONS:
More informationFY 13 TDC Revenue Report 31-Dec-2012
CLLR CNTY TRST TAX RVN CAC January 10, 2013 V-1 Staff Reprts 1 f 18 Budget escriptin und Y 13 Adpted Budget Y 13 (5%) Reserved by Law Y 13 Net Budget Y 13 recast Variance t Y 13 Budget Beach acilities
More information2. Write your full name and section on the space provided at the top of each odd numbered page.
I NAME: E - SECTION: Page 1 MATH 152 - COMMON FINAL Spring 2005 General Instructions: 1. The exam consists of 10 pages, including this cover; the test is printed on both sides of the page, and contains
More information(b) Calculate, to 3 significant figures, the product moment correlation coefficient between
5NOw \ 1. A teacher asked a random sample of 1 0 students to record the number of hours of television, t, they watched in the week before their mock exam. She then calculated their grade, g, in their mock
More information2.' -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.
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
More informationPhysicsAndMathsTutor.com
PhysicsAndMathsTutor.com June 2005 6. A continuous random variable X has probability density function f(x) where 3 k(4 x x ), 0 x 2, f( x) = 0, otherwise, where k is a positive integer. 1 (a) Show that
More informationAPPH 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,W.(.1*i x. Itr ::r:: i# A=,lrr. 'l ' rykfu. -[ *' 5 ]{, X/,i "# rrlrr,;- "h. K rn. f'e-s **1,:i' $ *' ##a. "+ c)4mls ( d)3.4 v * fr: lt-) t'..].
General Physics II (PHYS 104) Exam 1: February 23,2012 Name: Multiple Choice (4 points each): Answer the following multiple choice questions. Clearly circle the response (or responses) that provides the
More informationFace Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction
F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F
More informationK E L LY T H O M P S O N
K E L LY T H O M P S O N S E A O LO G Y C R E ATO R, F O U N D E R, A N D PA R T N E R K e l l y T h o m p s o n i s t h e c r e a t o r, f o u n d e r, a n d p a r t n e r o f S e a o l o g y, a n e x
More informationPledged_----=-+ ---'l\...--m~\r----
, ~.rjf) )('\.. 1,,0-- Math III Pledged_----=-+ ---'l\...--m~\r---- 1. A square piece ofcardboard with each side 24 inches long has a square cut out at each corner. The sides are then turned up to form
More informationSTAT100 Elementary Statistics and Probability
STAT100 Elementary Statistics and Probability Exam, Monday, August 11, 014 Solution Show all work clearly and in order, and circle your final answers. Justify your answers algebraically whenever possible.
More informationRoot behavior in fall and spring planted roses...
Rerospecive Theses and Disseraions Iowa Sae Universiy Capsones, Theses and Disseraions 1-1-1949 Roo behavior in fall and spring planed roses... Griffih J. Buck Iowa Sae College Follow his and addiional
More informationTxe Evor-urroN of THE Supneme Belna
Tx vrurrn TH Supnm Bln "Th Suprm Bing did n cr [Brrr bu mn rs lirlly crd u f, his vry lif rs drivd frm, h pniliy f h Suprn. Nr ds h vlv mni y is h Suprn hinslf h vry ssnc f vluin. rn h flni sndpin, w cly
More information. ~ ~~::::~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 informationI 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 informationColby 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