A Decision-Making Approach‚ 6e Chap 11-2 © 2005 Prentice-Hall‚ Inc. Chapter 11 11-2 Student Lecture Notes Chapter Overview Analysis of Variance (ANOVA) One-Way ANOVA Randomized Complete Block ANOVA Two-factor ANOVA with replication F-test F-test TukeyKramer test Fisher’s Least Significant Difference test Business Statistics: A Decision-Making Approach‚ 6e © 2005 Prentice-Hall‚ Inc. Chap 11-3 General ANOVA Setting Investigator controls one or more
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ANALYSIS OF VARIANCE? WHAT NULL HYPOTHESIS ISTESTED BY ANOVA? ANALYSIS OF VARIANCE IS A STATISTICAL METHOD USED TO TEST DIFFERENCES BETWEEN TWO OR MORE MEANS. IT IS USED TO TEST GENERAL RATHER THAN SPECIFIC DIFFERENCES AMONG MEANS. THUS THE NULL HYPOTHESIS IS CALLED AN OMNIBUS NULL HYPOTHESIS IT MEANS THAT AT LEAST ONE POPULATION MEAN IS DIFFERENT FROM AT LEASTONE OTHER MEAN. THE ANOVA DOES NOT REVEAL WHICH PAIR IS SIGNIFICANT‚ THUS A FOLLOW UP TEST IS NECESSARY TO DETERMINEWHICH PAIR
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PLAYSTATION 2 MARKETING PLAN [pic] November‚ 18‚ 2004 Group #8 Cindy Brown Kunal Shah Robert Burns Eddie Carter Playstation 2: marketing plan Introduction The Sony PlayStation 2 was released by Sony Computer Entertainment in 2000. Sony Computer Entertainment also develops‚ publishes‚ markets‚ and distributes software for PlayStation 2. PlayStation 2 is a gaming console giving consumers the ability to play not only PlayStation 2 games
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Voyager 1 and 2 were originally a spin off of the Mariner program‚ originally called Mariner 11 and 12 but they decided to change the name. Voyager 1 and 2 were to look at our solar systems gas giants. They both were using a new technique called gravity assist to help maneuver. Voyager 1 and 2 are powered by radioisotope thermoelectric generators (RTG). The mission plan for Voyager 1 and 2 was to look at all the gas giants in the solar system they called this plan the grand tour‚ the planets include
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logic and vocabulary of one-way analysis of variance (ANOVA). The null hypothesis tested by one-way ANOVA is that two or more population means are equal. The question is whether (H0) the population means may equal for all groups and that the observed differences in sample means are due to random sampling variation‚ or (Ha) the observed differences between sample means are due to actual differences in the population means. The logic used in ANOVA to compare means of multiple groups is similar to
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the analysis test result is carried out using the technique of one-way analysis of variance ANOVA (Analysis of Variance - single factor). Assumptions of ANOVA The assumptions of ANOVA are: Observations were randomly and independently chosen from the populations‚ population distributions are normal for each group; and population variances are equal for all groups. The assumptions of ANOVA are identical to the t-test and the calculated statistic is called an F-value which has a probability
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ANOVA Test Paper This week Team C is looking to further our knowledge of hypothesis tests by testing for variances and simultaneously comparing the different means of gasoline to conclude if the populations sampled were equal or not. We will test whether the three sample are from populations with equal variances. This type of testing is called analysis of variance or ANOVA (Lind‚ Marchal‚ & Wathen‚ 2004). The ANOVA test can be conducted with the intent of giving families information on where the
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Marcia Landell Applied Statistics Week 6: Analysis of Variance (ANOVA) Exercise 36 Analysis of Variance (ANOVA) I 1. A major significance is identifiable between the control group and the treatment group with the F value at 5% level of significance. The p value of 0.005 is less than 0.05 indicating that the control group and the treatment group are indeed different. Based on this fact‚ the null hypothesis is to be rejected. 2. Null hypothesis: The mean mobility scores for the control group and
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standardized self-concept instrument which yields interval scores for the subjects. In this problem‚ application of the one-factor ANOVA will test the following hypothesis: There is no significant difference in self-concept among the three groups of students exposed to different counselling approaches. Step 1 Enter the data in a worksheet table. (See below.) Step 2 Find the square of each raw score (X2). Step 3 Compute the sum of N for each group‚ the total N‚ the sums of the raw scores and the
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CHART FOR STATISTICAL ANALYSIS ANOVA One-way Analysis of Variance (ANOVA) is used with one categorical independent variable and one continuous variable. The independent variable can consist of any number of groups (levels). A statistical technique by which we can test if three or more means are equal. It tests if the value of a single variable differs significantly among three or more levels of a factor. Example: Problem: Susan Sound predicts that students will learn most effectively with a constant
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