Week16-4up_001 - 318 STA 2023 c B.Presnell &...

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Unformatted text preview: 318 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 319 Final Exam Locations Systematic Approach to Chapters 7, 8, 9 Monday, April 30, 3:00 – 5:00 P.M. 1. How many POPULATIONS have I taken (will I take) Final Exam  ¨ ¢¤¢ ©£¥£¡ ¤¢ ¡¨  ¤¢ £££¡ ¦!¥§¥©£¡ ¨ ¡¢ §¥©£¡ #¨ ¤¢ ©¥£§¥©£¡  ¢ ¡¨ # ¢  ¨ #¤¢ £¥§©¥£¡ ¥©£§££¡ ¢ ¡¨  ¡¢ ¢ ¢ ¡¨ # ¡¢ £©£!¥£¡ #¨ ¡¤¢ "!£¡ ¢ ¢ ¡¨ ¡¢ ©££!©£¡ ¤ ¢ ¡¨ ¤¤ ¢ ©¥£¥£¡ ¦§¥££©£¡  ¢ ¡¨  ¢ ¡¨ ¤¢ ©¥§©¥£¡ ©££¡ ¤¢ ¡¨  ¡¢ ¤¥¥§¥©£¡ ¨ ¢ ¢ ¡¨¦ ¤ ¢ £©§¥£¡ Erik Freytag Daniel Garcia Larissa Kassebaum Dobrin Marchev Terry Mashtare Adam Meyers Joseph Powers Pavlina Rumcheva Andy Sadler John Seppala Madhu Trehan WEIM 1064 2. What is the PARAMETER if interest? WEIM 1064 (a) 1 Population : FLG 220 WEIM 1064 or (b) 2 Populations : WM 100 or 3. What is the OBJECTIVE of the exercise? FLG 230 FLG 270 (a) Find Sample Size(s) WM 100 (b) Confidence Interval LIT 101 (c) Hypothesis Test (reach a decision) LIT 101 LIT 109 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 320 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 321 4. How to proceed? (c) Hypothesis Testing (a) Sample Size 7 vv Param vvx vv vv vv g Param “something” “something” g ‚ tr 7 Test Statistic – How about sample(s) i Y `X S 7 q Ha Y eX CW pI a Y eX g h1 g h1 small S.S. form. sheet b a bH large S.S. OR b 9 s tr a `X W Y C W 1 US VT V T S W a eX W Y f R ¦ IHF (¦ £dcP'GEC form. sheet std. error Parameter “something” € w table value OR Param (b) Confidence Interval with confidence coefficient estimator “something” vv R ¦ IHF (¦ £Q0P'GEDC A9 B@8 standard error vv 7 confidence y 7 with What am I “trying to prove”? : units uvv Estimate to within table formula sheet . LIT 109 Bonnie Erickson FLG 210 1$ (& 20)'$ Jeff Carter (c) More than 2 (STA3024) CLB C130 1% (& 6543% Marinela Capanu (b) CLB C130 $ Andrea Booth (a) CLB C130 % Allison Bond samples from? Location ¢ Sections ¦ Instructor i. Large ( ) or small ( )? ii. Independent or Paired? V T i STA 2023 c B.Presnell & D.Wackerly - Lecture 26 v S € SC § calc vv y uvv v vv vv v OR H v vv (tail area) ¦ I¢ b vv v vv vx ( bS Hypothesized Value from NULL HYPOTH. “something” v € ¡ vv tr ws OR Param p-value vv “something” vv Param ¥ ¢ Estimator and Stand. Error from Form. Sheet S y SC § standard error calc H hypothesized value “something” v vv estimator the calculated value of vv ¤ S Param Large Sample(s) b P-values : calc 323 S 322 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 ¢ £¢ Small Sample(s) v vv ¤ vv vv vv 1. 2. Independent Samples (assuming ( TS ¥ vv RR vv €S vv € vv vv # d.f. v ¦ or vv 1 SyS VT 1 S( €S V T b “something” ) 3. Paired Samples 7 vv vv tr ws vv vv vv vv Param b 1  vv OR . Y Ha ¢ ¥G( 1 `X  & C W  1  & U¦ ( & C   1  H ¦ ( 1 C 1H v uvv vv “something” , not © ¨ vv y Param A8 yS TS OR i “something” AS8 Param Calculate DIFFERENCES for all pair vx 7 Use one-samp. proc. to analyse the i differences. 324 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 Formula Sheet  known.  unknown “large” “small” i 2. Use if S 1. Use if 7   7 3. Use for CI ‚ % b %g ‚r 4. Use for test Use “system” for several examples from text. . 5. Use for CI or tests : Large Samples 7. Use for CI or test (& b 1 % 43% g ‚ r 8. Use to test H !C ©¨ 6. Use for CI or tests : Small Samples 325 ...
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This note was uploaded on 12/15/2011 for the course STA 2023 taught by Professor Ripol during the Spring '08 term at University of Florida.

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