Billie wishes to test the hypothesis that overweight individuals tend to eat faster than normal-weight individuals. To test this hypothesis, she has two assistants sit in a McDonald?s restaurant and identify individuals who order the Big Mac special for lunch. The Big Mackers as they become known are then classified by the assistants as overweight, normal weight, or neither overweight nor normal weight. The assistants identify 10 overweight and 10 normal weight Big Mackers. The assistants record the amount of time it takes them to eight the Big Mac special. 1.0 585.0 1.0 540.0 1.0 660.0 1.0 571.0 1.0 584.0 1.0 653.0 1.0 574.0 1.0 569.0 1.0 619.0 1.0 535.0 2.0 697.0 2.0 782.0 2.0 587.0 2.0 675.0 2.0 635.0 2.0 672.0 2.0 606.0 2.0 789.0 2.0 806.0 2.0 600.0 a) Compute an independent-samples t-test on these data. Report the t-value and the p values. Where the results significant? (Do the same thing you did for the t-test above, only this type when you go to compare means, click on independent samples t-test. When you enter group variable into grouping variable area, it will ask you to define the variables. Click define groups and place the number 1 into 1 and the number 2 into 2). b) What is the difference between the mean of the two groups? What is the difference is standard deviation? c) What is the null and alternative hypothesis? Do the data results lead you to reject or fail to reject the null hypothesis? d) What do the results tell you?,I need to understand the answers to the attached problems. Problem Four) 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: Scores Group 1 1 2 1 3 1 2 2 3 2 4 2 4 3 5 3 6 3 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. Use the instructions for conduction an ANOVA on page 438 of the text for SPSS or Excel. a) What is the F-score; Are the results significant, and if so, at what level (P-value)? 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. Now click Post Hoc. In this area check Tukey. If there is a significant result, we really do not know where it is. Is it between group 1 and 2, 1 and 3, or 2 and 3? Post hoc tests let us isolate where the level of significance was. So if the results come back significant, conduct the post hoc test as I mentioned above and explain where the results were significant. c) What do the results obtained from the test mean?
Paper#13249 | Written in 18-Jul-2015Price : $25