Week16_001 - STA 2023 c B.Presnell & D.Wackerly -...

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Unformatted text preview: STA 2023 c B.Presnell & D.Wackerly - Lecture 26 318 Final Exam Locations Monday, April 30, 3:00 – 5:00 P.M. Final Exam Allison Bond Andrea Booth Marinela Capanu Jeff Carter Bonnie Erickson Erik Freytag Daniel Garcia Larissa Kassebaum Dobrin Marchev Terry Mashtare Adam Meyers Joseph Powers Pavlina Rumcheva Andy Sadler John Seppala Madhu Trehan Sections  ¨ ¢¤¢ 2£%&¡ ¤¢ ¡¨ ¤¢ £©30¡ ¦(¥%$02£¡ ¨ ¡¢ #1¨ ¤¢ ¥%'£¡ # ¢ ¡¨ 1¢ 20£©§¡ £¥%$¥£¡ ¨ 1¤¢ #¢ ¡¨  ¡¢ £©$¡ ¢ ¢ ¡¨ 1 ¡¢ 0£©$¡ 1¨ ¡¤¢ ¥¥(¥£¡ ¢ ¢ ¡¨ ¡¢ 0)(£¡ ¤¢ ¡¨ ¤¤¢ ©'¥£¡ ¦&£©"¡ ¢ ¡¨ ¢ ¡¨ ¤¢ ¥%$¥£¡ #¤¢ ¡¨ ¡¢ ¥£©"!£¡ ¤¥§£¡ ¨ ¢ ¢ ¡¨¦ ¤¢ ©¥§¥£¡ Instructor Location CLB C130 CLB C130 CLB C130 FLG 210 WEIM 1064 WEIM 1064 FLG 220 WEIM 1064 WM 100 LIT 109 FLG 230 FLG 270 WM 100 LIT 101 LIT 101 LIT 109 STA 2023 c B.Presnell & D.Wackerly - Lecture 26 319 Systematic Approach to Chapters 7, 8, 9 1. How many POPULATIONS have I taken (will I take) samples from? ¢ (b) ¦ (a) (c) More than 2 (STA3024) 2. What is the PARAMETER if interest? or £ ¢ ¡ ¤ £ ¢ 3. What is the OBJECTIVE of the exercise? (a) Find Sample Size(s) (b) Confidence Interval (c) Hypothesis Test (reach a decision) ¡ or ¤ (b) 2 Populations : ¡ (a) 1 Population : . STA 2023 c B.Presnell & D.Wackerly - Lecture 26 320 4. How to proceed? (a) Sample Size units confidence !§ ©# # ¨§¦ ¦ standard error ¢ ¢ £¡ with ¤ Estimate to within   ¥ ¤ £ ¦ ¥      table formula sheet (b) Confidence Interval with confidence coefficient ¥   small S.S. std. error   large S.S. ¨ table value '§ $ $ #     ¤ ¤ ¨§¦ ¦  & % £ ¦  " ¥  form. sheet ©# # estimator form. sheet STA 2023 c B.Presnell & D.Wackerly - Lecture 26 321 (c) Hypothesis Testing What am I “trying to prove”? : ¢£ £ Param “something” ¥ £ £ £ £ £ £ OR $ “something” ¦ Param £ £ ¡ £ £ £ OR £ £ £ ! § ! ¤ Parameter Param “something” “something” $ ¨ – How about sample(s) %  Test Statistic i. Large ( ) or small ( )? ii. Independent or Paired? STA 2023 c B.Presnell & D.Wackerly - Lecture 26 322 Large Sample(s) hypothesized value £ standard error ¡ estimator !  ¢ Estimator and Stand. Error from Form. Sheet ¢ £¢ Hypothesized Value from NULL HYPOTH. ¤ ¢£  £ £ £ £ £ £  ¥ “something” £ Param ¥ £ £ £ £ £ £ £ £ OR £ £ £  £ ¦ £ £ “something”  £ ¦ Param RR £ ¡ £ £ £ OR £ £ £ £ £ £ £ £ £ £ or £ £ £ ¥ ¤ ¤  &   &  £ £ ¥ ¦   “something” £ § ! Param ¤ £ £ £ STA 2023 c B.Presnell & D.Wackerly - Lecture 26 ¤  ! the calculated value of  P-values : calc 323 ¢£ § £ £ £   calc £ calc £  £ ¥ ¥ “something” £ Param ¥ £ £ £ £ £ £ £ £ OR § p-value £ £  ¦ ¥ £ ¡ “something” £ ¦ Param £ £ £ £ £ £ OR £ £ £ ¨ £ £ “something” (tail area) ¢ § ! ¤ Small Sample(s) . ) ¥ ©§ ¦ £ ¤¢ ¡ £ ¤ ¤  §"  ¨¥  § § ¨¥  ©§ ¦ ¥ £ ¢ § ¨¥ § ¢ £ ¢ ¤ ¢ ¤ ! ¦¥ # d.f. 3. Paired Samples Calculate DIFFERENCES for all pair Use one-samp. % differences. proc. to analyse the ¤ ¤%¡ 2. Independent Samples (assuming ¤ , not ¤¡ 1. ¥ £ Param STA 2023 c B.Presnell & D.Wackerly - Lecture 26 324 Formula Sheet unknown “large”  ¡ ¡ “small” % 2. Use if known. 1. Use if § § 3. Use for CI $ ¨ . ¡ ! ¡ ¨ 4. Use for test # ! ¤ ¡ £ ¢ ¡ $ ¨ 8. Use to test ¥ 7. Use for CI or test £ ¤¢ ¡ 6. Use for CI or tests : Small Samples § 5. Use for CI or tests : Large Samples STA 2023 c B.Presnell & D.Wackerly - Lecture 26 Use “system” for several examples from text. 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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