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Analysis of Variance Chapter 12 McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.

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Presentation on theme: "Analysis of Variance Chapter 12 McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved."— Presentation transcript:

1 Analysis of Variance Chapter 12 McGraw-Hill/Irwin Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.

2 Learning Objectives 1. List the characteristics of the F distribution. 2. Organize data into ANOVA tables for analysis. 3. Conduct a test of hypothesis among two or more treatment means and describe the results. 12-2

3 F-Distribution 1.There is a “family” of F Distributions. A particular member of the family is determined by two parameters: the degrees of freedom in the numerator (v 1 ) and the degrees of freedom in the denominator (v 2 ). 2.The F distribution is continuous 3.F value cannot be negative. 4The F distribution is positively skewed. 12-3

4 One-Way ANOVA: Comparing Means of Two or More Populations The F distribution is used for testing whether two or more population means are equal.  If there are k populations, the numerator degrees of freedom is k – 1.  If there are a total of n observations, the denominator degrees of freedom is n – k. Assumptions: – The sampled populations follow the normal distribution. – The populations have equal standard deviations. – The samples are randomly selected and are independent. 12-4

5 The hypotheses are The Test Statistic F follows F distribution and can be calculated as. The Decision rule Reject the null hypothesis if F > F ,k-1,n-k One-Way ANOVA H 0 : µ 1 = µ 2 =…= µ k H 1 : The means are not all equal 12-5

6 One-Way ANOVA – Example Recently a group of four major carriers joined in hiring Brunner Marketing Research, Inc., to survey recent passengers regarding their level of satisfaction with a recent flight. The survey included questions on ticketing, boarding, in-flight service, baggage handling, pilot communication, and so forth. Twenty-five questions offered a range of possible answers: excellent, good, fair, or poor. A response of excellent was given a score of 4, good a 3, fair a 2, and poor a 1. These responses were then totaled, so the total score was an indication of the satisfaction with the flight. Brunner Marketing Research, Inc., randomly selected and surveyed passengers from the four airlines. Is there a difference in the mean satisfaction level among the four airlines? Use the.01 significance level. Northern WTA Pocono Branson 12-6

7 One-Way ANOVA – Example Step 1: State the null and alternate hypotheses. H 0 : µ A = µ D = µ U = µ US H 1 : The means are not all equal Reject H 0 if F > F ,k-1,n-k Step 2: State the level of significance. The.01 significance level is stated in the problem. Step 3: Find the appropriate test statistic. Because we are comparing means of more than two groups, use the F test statistic 12-7

8 One-Way ANOVA – F test statistic Treatment/factor: the criteria used to classify the populations. In this example, the treatment/factor is airlines. Total variation (SS) = Variation due to difference between treatments (SST) + Variation due to within treatments (SSE) SS = SST + SSE The test statistic is computed by: 12-8

9 One-Way ANOVA – F test statistic 12-9 where: is the sample mean for each treatment

10 One-Way ANOVA – F test statistic Northern WTA Pocono Branson

11 One-Way ANOVA – F test statistic American Delta United US Airways 12-11

12 One-Way ANOVA – F test statistic 12-12

13 Step 4: State the decision rule. Reject H 0 ifF > F ,k-1,n-k F > F.01,4-1,22-4 F > F.01,3,18 F > 5.09 One-Way ANOVA – Example The computed value of F is 8.99, which is greater than the critical value of 5.09, so the null hypothesis is rejected. Conclusion: The population means are not all equal. The mean scores are not the same for the four airlines; at this point we can only conclude there is a difference in the treatment means. We cannot determine which treatment groups differ or how many treatment groups differ. Step 5: Make a decision

14 One-Way ANOVA – Excel See textbook, P 452, #2 for more detials. We can also use the p- value to for the hypothesis test. Recall that the null hypothesis is rejected when p-value < α. Here p-value =.0007, which is less than.05. Thus H 0 is rejected. Data AirlinesAirlines


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