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Pertemuan 9 DISTRIBUSI NORMAL Hdi Nasbey, M.Si Jurusan Fisika Fakultas Matematika dan Ilmu Pemgetahuan Alam
Learning Outcomes ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Outline Materi ,[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
The Normal Distribution ,[object Object],[object Object],Applet 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
The Standard Normal  Distribution  ,[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
The Standard Normal ( z ) Distribution  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Using Table 3 The four digit probability in a particular row and column of Table 3 gives the area under the  z  curve to the left that particular value of  z. Area for  z  = 1.36 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Using Table 3 ,[object Object],[object Object],[object Object],Remember the Empirical Rule: Approximately 99.7% of the measurements lie within 3 standard deviations of the mean. Remember the Empirical Rule: Approximately 95% of the measurements lie within 2 standard deviations of the mean. Applet 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | P(-1.96     z     1.96) = .9750 - .0250 = .9500 P(-3     z     3) = .9987 - .0013=.9974
Working Backwards ,[object Object],[object Object],Find the value of  z  that has area .25 to its left. Applet 4.  What percentile does this value represent? 25 th  percentile,  or 1 st  quartile (Q 1 ) 3.  z  = -.67 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Working Backwards ,[object Object],[object Object],Find the value of  z  that has area .05 to its right. ,[object Object],[object Object],Applet 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Finding Probabilities for th General Normal Random Variable ,[object Object],[object Object],Example:  x  has a normal distribution with    = 5 and    = 2. Find P( x  > 7).  01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  | 1  z
Example The weights of packages of ground beef are normally distributed with mean 1 pound and standard deviation .10. What is the probability that a randomly selected package weighs between 0.80 and 0.85 pounds? Applet 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Example What is the weight of a package such that only 1% of all packages exceed this weight? Applet 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
The Normal Approximation to the Binomial ,[object Object],[object Object],[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Approximating the Binomial ,[object Object],[object Object],[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Example Suppose  x  is a binomial random variable with  n  = 30 and  p  = .4. Using the normal approximation to find P( x     10). n  = 30  p  = .4  q  = .6 np = 12 nq = 18 The normal approximation is ok! 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Example Applet 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
Example A production line produces AA batteries with a reliability rate of 95%. A sample of  n  = 200 batteries is selected. Find the probability that at least 195 of the batteries work. Success = working battery  n  = 200 p  = .95  np = 190 nq = 10 The normal approximation is ok! 01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |
[object Object],01/02/11 ©  2010 Universitas Negeri Jakarta  |  www.unj.ac.id  |

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Statistika Dasar (9) distribusi

  • 1. Pertemuan 9 DISTRIBUSI NORMAL Hdi Nasbey, M.Si Jurusan Fisika Fakultas Matematika dan Ilmu Pemgetahuan Alam
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  • 7. Using Table 3 The four digit probability in a particular row and column of Table 3 gives the area under the z curve to the left that particular value of z. Area for z = 1.36 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
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  • 12. Example The weights of packages of ground beef are normally distributed with mean 1 pound and standard deviation .10. What is the probability that a randomly selected package weighs between 0.80 and 0.85 pounds? Applet 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 13. Example What is the weight of a package such that only 1% of all packages exceed this weight? Applet 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
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  • 16. Example Suppose x is a binomial random variable with n = 30 and p = .4. Using the normal approximation to find P( x  10). n = 30 p = .4 q = .6 np = 12 nq = 18 The normal approximation is ok! 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 17. Example Applet 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
  • 18. Example A production line produces AA batteries with a reliability rate of 95%. A sample of n = 200 batteries is selected. Find the probability that at least 195 of the batteries work. Success = working battery n = 200 p = .95 np = 190 nq = 10 The normal approximation is ok! 01/02/11 © 2010 Universitas Negeri Jakarta | www.unj.ac.id |
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