{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

m2sol_2

# m2sol_2 - Ste 113 7151111111_— Problem 1 For...

This preview shows pages 1–4. Sign up to view the full content.

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

View Full Document

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

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

Unformatted text preview: Ste 113 7151111111: _— _.._ _ Problem 1: For each [11111.1Ie111 answer true 111' £11121:- errd Stale E's-HY. {1511111 1. TF we. keep the ceﬂﬁdenue level. ﬁxed, the 1111e1~1=111 beeemee 1111111411 115 we increase the 11311117113 size. [2 2. 'Ty 111-1 11. error 1111213111.: when we £11.11 to rejeeL an incorrect nuﬂ 11:11 patheeie. ”T :1. Once ifs 1111111111111er1, :1 515111:- conﬁdm111.11'111terml means. r1.1113. reeulting 111— I.e1-11111 from epaetieuler eel: of sample has 11.1111 probability 11F1111r111ai11-111g' I: the true 1'111r3meter of 11111111451. 4. Smaller t’he 11—11111 1114. 11%. the more likely 1|. '11: that the 211-111 111111111110515 is 1— ,..- torrent. 51. The Centre] T.-'1111'1| '1'11eere111 etetee 1.11111 given 1'1 1111111111111 variables {XI . M13511} drawn 1.1.11. 1111:1111 e dietri'hutien with 1111211111 11 3.1111 veri— 3.111111 1:2 1111:: average of the 111111111111 11111111131195 1112111111111 315 11 L— X L- 21:13:: W. 11:1. 1.115I-1‘ib11ted 13111111112111111111-le13.r as 11 (311.115.513.11 wiL'h 111111111 11 and 11111113111111: L: if and. 1.11111: if the original 1.11311111111’111'111 of X 15 Geueeian. f5. The Ir'1e..~1'11111111:1 likelihood est111111l.1'11‘ '11-". always an unbiened estimator. T: '1'. 11’ X 111 dietribﬂted e5 11. H1‘1ieﬁm‘1'dietributiun w'II.|1_p11re.mete-r .11 the“ E1111 = 1-*’""—e’1:1:11: 1. r— 8- 11'.-‘1’1,.....Xn areihdepeurjent1251111310111 veriebhje 111111 {11.1, 11.3.1] ere rug-:11 numbers then III-[11.1.1 X. I 1' 111.13%} = {IL-111.517” I ‘1' GHL'VI:_X.;.J. [: Spring 3009' Page 1 1.11111 Fee-1. 1T5, 2121119 Name: —_._..— Etta 113 Problem 2 :' Using a lung; rm] than. has. IHngH'I ."*'-.~ gnu arc: going to 1&3; out n. ﬁqnztrt: pint in which the length (if eaﬁh aide is (Lt. Thus the. Ewen. ut' the phat will he. lrt'z. Hrtwet'er, jmn do not Emma: the value of it, 50 you, decide to make n independent Inenanrementn X11 X33 3": .1 Hi the length. Assume that nnnh X; hm; mean #5 and variance (:2. at. Shnw' that if“! is not an nnhiméti entitnnmr for n53. Hint: For arty T‘l' Y, EEYQ} 21353;}- + [EH/31F. b. Fpr what m1 m4, at h in 1.115: HHHI’HELLDI' X”?- ESQ unbiased for n2? th-t.‘ Computer 5;)? — 5:52] tuft-ere 32 is the u-nhviaaaxt ﬁat-imretm" fat-1 sample 1 F _ z 0) EV )= Wit) HW‘U H 1‘3} 4. ‘3: “FL T Spring-20139 Page 2 of 10 Feb. lﬂ Eﬂﬂg Namer— — 151.1»: 113 thlem 3: 1"; random sample of ’13? TIGTIHIEHJkiﬂg women 01‘ 1101111111 weight- [but-1:; 11111.55 iIIIjaa-I hetwﬁeu 11-1. 155-. 11116. iii 1]} who had Five“ hirl. h FL‘f. 11 large metropolitan medical manta was-5 EEIHL I.:- ._r1. It was. detenrﬁned that 32 ﬁll: them-,- 11II':1'.'IH ll-r-hlluiﬂd. 111 LilLlhlItlﬂ 01‘105‘5' L111L11 55131-- 51'“; {'h—IHh |:'._.|'1511'I JD“ g}. 51.. Cniqulatc 3.11' uppér c_dnﬁdertce hound Uﬁillg a E'lurlﬂdE-“JJCL‘ level of 99% for the. I_II'I;1pr,‘.-rl,1un III-I‘ all ﬁnch births that result in childre:1.01‘h;w |1'1I"|i]'I "might. 11.€s11nI115'.,-11c 11 111.1% conﬁdence iﬂEEﬂ-ﬁl for thIa prawn-Linn IIE' 51.11 11:.- 11h bliths that raIitult lIl uhihlmn 111' law lIEIth “eight. ‘5". hm. 5511111310 5120 would be required for the niuLII ul :1. 1-1-1933 aunﬁd-cncc intenral tr_I be \$1.1 “Min-11.17114 irrespt- Iii-111T: of p? F—‘e‘f - 0.11157 + 1?- tZJDﬁjoﬂ‘i—‘D 45?? 61.9919 ,_. _._.—- o ate-7 a: 52.05; Oilfﬂhdﬁm .[o. 1142'! :9 0% F] 411'? Spring 211111} Page 3 of 11] Feb: 1?. 2111111 Name: — __ Ste 113 Pml‘ilem 4?: 3'1 sample DE 12 “radon detetters 'Cif a entrain iy'pe. wits if: leer-ed~ and ear-:11 wan; exprrsecl I.“ |.[ip.t'-Z'£,-’L of radon. The. t'eeult-ing readings Were ﬁe fellows: 1&56 93.3 91.2 9619 9&5 91.3 '|[i{J.1 lﬁlﬁﬂ Suﬁ lﬂTJ’ lﬂﬂﬂ 9311 a. W'h‘at aseuxripziun is. mama-ism}- =..n salve this preblern? If. you had Gem— puter wee-.55, how would you check whether arr mil. Hui-i Hee'iirngﬂﬁnﬂ was Hat-islirid'? b. Hei'ing'mede rhe required amt:LLIILLJLIIJILr dime Lh'm i'iFIJit'J- HliggCSt'th'ﬂF 1:116: pnpularien 11193.11 reading under these conditions is different frdrzi 19G? :Spi'irrg. 20m} Page 4.1K 1U F1111. ‘17: Elm! ...
View Full Document

{[ snackBarMessage ]}

### What students are saying

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

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

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

Dana University of Pennsylvania ‘17, Course Hero Intern

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

Jill Tulane University ‘16, Course Hero Intern