document.write( "Question 628301: This problem will introduce the learner into a technique called Analysis of Variance. For this course we will only conduct a simple One-Way ANOVA and touch briefly on the important elements of this technique. The One-Way ANOVA is an extension of the independent –t test that can only look at two independent sample means. We can use the One-Way ANOVA to look at three or more independent sample means. Use the following data to conduct a One-Way ANOVA:\r \n" );
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document.write( "Scores - Group \n" );
document.write( "1 - 1 \n" );
document.write( "2 - 1 \n" );
document.write( "3 - 1 \n" );
document.write( "2 - 2 \n" );
document.write( "3 - 2 \n" );
document.write( "4 - 2 \n" );
document.write( "4 - 3 \n" );
document.write( "5 - 3 \n" );
document.write( "6 - 3\r \n" );
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document.write( "Notice the group (grouping) variable, which is the independent variable or factor is made up of three different groups. The scores are the dependent variable. \r \n" );
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document.write( "Use Excel. \r \n" );
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document.write( "a)What is the F-score; \n" );
document.write( "Are the results significant, and if so, at what level (P-value)?\r \n" );
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document.write( "b)If the results are significant to the following: Click analyze, then click Compare Means, and then select one-way ANOVA like you did previously. \n" );
document.write( "Now click Post Hoc. In this area check Tukey. If there is a significant result, we really do not know where it is. \n" );
document.write( "Is it between group 1 and 2, 1 and 3, or 2 and 3? \n" );
document.write( "Post hoc tests let us isolate where the level of significance was. \n" );
document.write( "So if the results come back significant, conduct the post hoc test as I mentioned above and explain where the results were significant. \n" );
document.write( "What do the results obtained from the test mean? \n" );
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