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 independent variables Called factors (or treatment variables)
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Applying ANOVA and Non Parametric Tests a. What are three lessons you learned relative ANOVA and Nonparametric tests? While doing the simulation; the three lessons learned are as follows: Monitor – the situation Measure – provide measurements‚ accumulate data Improve – provide solutions for improvement. b. As a result of using this simulation‚ what concepts and analytic tools will you be able to use in your workplace (i.e.‚ how do you expect to apply what you learned)? As a result of using
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How to Use a Data Spreadsheet: Excel One does not necessarily have special statistical software to perform statistical analyses. Microsoft Office Excel can be used to run statistical procedures. Although in some respects Excel is not as preferable for data analyses as IBM SPSS‚ it is very userfriendly with simpler statistical procedures. This appendix describes how to use Excel to execute basic statistical calculations. Data from the 2004 version of the General Social Survey (GSS) is used for
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Getting Started in Excel Many of the editing tools that you use in Excel are similar to Word and PowerPoint You will need to become familiar with a few new things for Excel: Rows‚ Columns‚ Various Formulas‚ and Charts just to name a few When you see a reference such as A7‚ A is the column and 7 is the row‚ this will give you the particular cell that is being referenced. You will learn that you can click or enter in information when it comes to cells and formulas. Everyone will have their own
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didn’t know what a spreadsheet was‚ etc. So I started at: http://en.wikipedia.org/wiki/Spreadsheet. I read that and got a good base of spreadsheets and the history. First of all‚ Microsoft Excel is the industry standard in spreadsheets (history on spreadsheets can be accessed at the above website address). With Excel‚ you can create a shared workbook and place it on a network location where several people can edit‚ change‚ and work on the contents of a workbook‚ I discovered. Therefore‚ if the people
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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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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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measured through a 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
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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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Spreadsheet Evaluation To create an ICT solution to record and analyse costs for the Actors Associates business I chose Microsoft Excel because it presents the information in a clear way which is easy for the reader to understand. It also performs quick and easy calculations. Use of Formulae. In my excel spreadsheet‚ I used different formulae to perform calculations. Some of the formulae I used include addition and multiplication‚ which i believe are input correctly. I used replication to
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