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Statistics  for Management Lesson 5 Fundamentals  of Hypothesis Testing
Lesson Topics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],I assume the mean GPA of this class is 3.5! © 1984-1994 T/Maker Co. 1. What is a Hypothesis?
[object Object],[object Object],[object Object],[object Object],The Null Hypothesis,   H 0 ,[object Object],[object Object]
[object Object],[object Object],[object Object],The Alternative Hypothesis,   H 1
[object Object],[object Object],[object Object],[object Object],[object Object],Identify the Problem
Population Assume the population mean age is 50. (Null Hypothesis) REJECT The Sample Mean Is   20 Sample Null Hypothesis Hypothesis Testing Process No, not likely!
Sample Mean  = 50 Sampling Distribution It is unlikely that we would get a sample mean of this value ... ... if in fact this were  the population mean. ...  Therefore, we reject the null hypothesis that    = 50. 20 H 0 Reason for Rejecting   H 0
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Level of Significance,   
Level of Significance,    and the Rejection Region H 0 :     3  H 1 :    < 3 0 0 0 H 0 :       3  H 1 :    > 3 H 0 :      3  H 1 :       3    /2 Critical  Value(s) Rejection Regions
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Errors in Making Decisions
H 0 : Innocent Jury Trial Hypothesis Test Actual Situation Actual Situation Verdict Innocent Guilty Decision H 0 True H 0 False Innocent Correct Error Do Not Reject H 0 1 -   Type II Error (  ) Guilty Error Correct Reject H 0 Type I Error (  ) Power (1 -   ) Result Possibilities
  Reduce probability of   one error   and the   other one   goes up.  &     Have an Inverse Relationship
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Factors Affecting Type II Error,         n
[object Object],[object Object],[object Object],[object Object],[object Object],2. Hypothesis Testing: Steps Test the Assumption that the true mean # of TV sets in US homes is at least 3.
[object Object],[object Object],[object Object],[object Object],[object Object],Hypothesis Testing: Steps Test the Assumption that the average # of TV sets in US homes is at least 3. (continued)
[object Object],[object Object],[object Object],3. Z-Test Statistics (  Known) Test Statistic X
[object Object],[object Object],[object Object],[object Object],[object Object],One-Tail Z Test for Mean  (  Known)
Z 0  Reject  H 0 Z 0 Reject  H 0  H 0 :     H 1 :    < 0 H 0 :   0  H 1 :    > 0 Must Be   Significantly  Below    = 0 Small values don’t contradict  H 0  Don’t Reject  H 0 ! Rejection Region
[object Object],368 gm. Example: One Tail Test H 0 :   368  H 1 :   >  368 _
Z .04 .06 1.6 . 5495 . 5505 .5515 1.7 .5591 .5599 .5608 1.8 .5671 .5678 .5686 .5738 .5750 Z 0  Z = 1 1.645 .50    -. 05 .45 . 05 1.9 .5744 Standardized Normal Probability Table (Portion) What Is  Z  Given    = 0.05 ?    = .05 Finding Critical Values: One Tail Critical Value = 1.645
[object Object],[object Object],[object Object],Test Statistic:  Decision: Conclusion: Do Not Reject at   = .05 No Evidence True Mean Is More than 368 Z 0 1.645 .05 Reject Example Solution: One Tail H 0 :   368   H 1 :    >   368
[object Object],368 gm. Example: Two Tail Test H 0 :   368  H 1 :     368
[object Object],[object Object],[object Object],Test Statistic:  Decision: Conclusion: Do Not Reject at    = .05 No Evidence that True Mean Is Not 368 Z 0 1.96 .025 Reject Example Solution: Two Tail -1.96 .025 H 0 :   386   H 1 :     386
Connection to Confidence Intervals ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],_
[object Object],[object Object],[object Object],[object Object],[object Object],t-Test:   Unknown
Example: One Tail t-Test Does an average box of cereal   contain  more than   368   grams of cereal?  A random sample of   36   boxes showed   X = 372.5 ,  and  S= 15 .  Test at the    0.01   level. 368 gm. H 0 :    368  H 1 :     368  is not given,
[object Object],[object Object],[object Object],Test Statistic:  Decision: Conclusion: Do Not Reject at    = .01 No Evidence that True Mean Is More than 368 Z 0 2.4377 .01 Reject Example Solution: One Tail H 0 :   368  H 1 :     368
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],4. Proportions
Example:Z Test for Proportion ,[object Object],[object Object],[object Object]
[object Object],[object Object],Do not reject at     = .05 Z Test for Proportion: Solution H 0 :  p    .04   H 1 :  p      .04 Critical Values:    1.96 Test Statistic: Decision: Conclusion: We do not have sufficient evidence to reject the company’s claim of 4% response rate. Z   p  -   p p (1 - p) n s = .04 -.05 .04 (1 - .04) 500 = -1.14 Z 0 Reject Reject .025 .025

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Lesson05_new

  • 1. Statistics for Management Lesson 5 Fundamentals of Hypothesis Testing
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  • 7. Population Assume the population mean age is 50. (Null Hypothesis) REJECT The Sample Mean Is 20 Sample Null Hypothesis Hypothesis Testing Process No, not likely!
  • 8. Sample Mean  = 50 Sampling Distribution It is unlikely that we would get a sample mean of this value ... ... if in fact this were the population mean. ... Therefore, we reject the null hypothesis that  = 50. 20 H 0 Reason for Rejecting H 0
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  • 10. Level of Significance,  and the Rejection Region H 0 :   3 H 1 :  < 3 0 0 0 H 0 :   3 H 1 :  > 3 H 0 :   3 H 1 :   3    /2 Critical Value(s) Rejection Regions
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  • 12. H 0 : Innocent Jury Trial Hypothesis Test Actual Situation Actual Situation Verdict Innocent Guilty Decision H 0 True H 0 False Innocent Correct Error Do Not Reject H 0 1 -  Type II Error (  ) Guilty Error Correct Reject H 0 Type I Error (  ) Power (1 -  ) Result Possibilities
  • 13.   Reduce probability of one error and the other one goes up.  &   Have an Inverse Relationship
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  • 19. Z 0  Reject H 0 Z 0 Reject H 0  H 0 :  H 1 :  < 0 H 0 :  0 H 1 :  > 0 Must Be Significantly Below  = 0 Small values don’t contradict H 0 Don’t Reject H 0 ! Rejection Region
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  • 21. Z .04 .06 1.6 . 5495 . 5505 .5515 1.7 .5591 .5599 .5608 1.8 .5671 .5678 .5686 .5738 .5750 Z 0  Z = 1 1.645 .50 -. 05 .45 . 05 1.9 .5744 Standardized Normal Probability Table (Portion) What Is Z Given   = 0.05 ?  = .05 Finding Critical Values: One Tail Critical Value = 1.645
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  • 27. Example: One Tail t-Test Does an average box of cereal contain more than 368 grams of cereal? A random sample of 36 boxes showed X = 372.5 , and  S= 15 . Test at the  0.01 level. 368 gm. H 0 :   368 H 1 :  368  is not given,
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