SlideServe
Menu
Préférences
© SlideServe · v2026

Friday Oct 8

nau avatar
7 diapositives · 260 Views · Oct 23, 2014

Friday Oct 8. Confidence interval for  How to obtain Z /2 Interpretation of confidence interval What n  30, can replace  by s Read 5.2 Next time: read 5.3. Similarly P(-1.96 < Z < 1.96) = 0.95 Thus P( Ў -1.96  Ў <  < Ў +1.96  Ў ) = 0.95

Friday Oct 8 - slide 1
01 / 7Friday Oct 8
1 / 17

Télécharger la présentation

Friday Oct 8
Une image / un lien ci-dessous est fourni (tel quel) pour télécharger la présentation

Politique de téléchargement : le contenu du site vous est fourni TEL QUEL pour votre information et votre usage personnel ; il ne peut être vendu, concédé sous licence ni partagé sur d’autres sites sans l’accord de son auteur.Le contenu vous est fourni TEL QUEL, pour votre information et votre usage personnel uniquement. Téléchargez la présentation en cliquant sur ce lien. Lors du téléchargement, si vous ne parvenez pas à télécharger une présentation, l’éditeur a peut-être supprimé le fichier de son serveur.Pendant le téléchargement, si vous ne parvenez pas à obtenir une présentation, le fichier a peut-être été supprimé par l’éditeur.

F I N

Plus de contenu associé

Transcription de la présentation
  1. Friday Oct 8 • Confidence interval for  • How to obtain Z/2 • Interpretation of confidence interval • What n  30, can replace  by s • Read 5.2 • Next time: read 5.3

  2. Similarly P(-1.96 < Z < 1.96) = 0.95 • Thus P(Ў-1.96Ў <  < Ў+1.96Ў) = 0.95 • For a 99% confidence interval: • P(-2.58 < Z < 2.58) =0.99. Z0.005=2.58 • Thus P(Ў -2.58Ў <  < Ў+2.58Ў) = 0.99

  3. Formula for 100(1-)% confidence interval for  • when  is given is • [Ў Z/2* Ў] where Ў = /n • Z/2 is a value of Z having a tail area of /2 to its right Histogram of C1, with Normal Curve f(y) 3 a/2 a/2 2 m +Za/2 s y m-Za/2 s 1 0

  4. A few frequently used Z value • 90% C. I.  = .1 Z/2 = Z.05 = 1.645 • 95% C. I.  =.05 Z/2 = Z.025 = 1.96 • 99% C. I.  =.01 Z/2 = Z.005 = 2.575 • 97% C. I.  =.03 Z/2 = Z.015 = 2.17

  5. Example • E.g. 5.10 Recent data from a national survey of 1350 women indicated that the average woman goes to a hair salon once every 5 weeks and spends on the average $26.49. With a standard deviation (s) of $12.00. Use these data to construct a 99% C.I. for  (average amount spent by women in America on hair salon). • n = 1350, Ў = 26.40,  = s = 12,  = 0.01 99% C.I. : Ў  Z0.005.121350 = 26.40  2.58 . 0.3266 (25.56, 27.24) 99% C.I. for  • Verbal interpretation of the 99% C.I. : We are 99% confident that the average amount a woman in America spends in a hair salon is between $25.56 and $27.24.

  6. e.g. 5.15 900 high-school graduates sampled. Objected of interest: distance between the high school attended and present address. Ў = 430 miles, s = 262 miles. Find • a. 95% CI for “average distance between a person’s present address and high school”  = 1 - 0.95 = 0.05 Ў ± Z/2*n, Ў =430, Z/2 = Z0.025 =1.96. n = 900 430 ± 1.96*262900 (412.88, 447.12) width = 34.24 • b. 99% Confidence interval 430 ± 2.58* 262900 (407.468; 452.532) width = 45.064