MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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PROBLEM STATEMENT 1 To study the effectiveness of five different kinds of packaging, a processor of a breakfast food puts each kind into five different supermarkets. Use the following data, representing the number of sales of the breakfast food between 9 AM and noon on a given day, to test the null hypothesis that packaging has no effect on sales at the level of significance a = 0.01: Packaging 1: 45 Packaging 2: 37 Packaging 3: 35 Packaging 4: 36 Packaging 5: 42 32 36 32 40 34 46 44 51 37 48 46 35 38 50 36 45 39 40 45 37 HYPOTHESIS Но: На: Test at a= 0.01 Critical Region: F > at vi = v2= ASSUMPTIONS 1. The populations from which the samples are taken have a normal distribution. 2. The populations have the same variance or standard deviation 3. The samples have randomly-picked members and that the samples are independent of each other. CALCULATIONS: Source of Variation Degrees of Sum of Squares (SS) Mean squares (MS) F Freedom Treatments Errors Total ANALYSIS: CONCLUSION:
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Transcribed Image Text:PROBLEM STATEMENT 1 To study the effectiveness of five different kinds of packaging, a processor of a breakfast food puts each kind into five different supermarkets. Use the following data, representing the number of sales of the breakfast food between 9 AM and noon on a given day, to test the null hypothesis that packaging has no effect on sales at the level of significance a = 0.01: Packaging 1: 45 Packaging 2: 37 Packaging 3: 35 Packaging 4: 36 Packaging 5: 42 32 36 32 40 34 46 44 51 37 48 46 35 38 50 36 45 39 40 45 37 HYPOTHESIS Но: На: Test at a= 0.01 Critical Region: F > at vi = v2= ASSUMPTIONS 1. The populations from which the samples are taken have a normal distribution. 2. The populations have the same variance or standard deviation 3. The samples have randomly-picked members and that the samples are independent of each other. CALCULATIONS: Source of Variation Degrees of Sum of Squares (SS) Mean squares (MS) F Freedom Treatments Errors Total ANALYSIS: CONCLUSION:
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