see assignment below:
For Lesson 40 here are the instructions:
Kristen is interested in evaluating whether the method of cooking potato chips affects the taste of teh chips. She has 48 individuals volunteer to participate in her potato chip study. Each participant tastes chips cooked using three different methods: fried in animal fat (chip = 1), fried in canola oil (chip = 2), and baked (chip = 3). Individuals are instructed to indicate which type of potato chips they prefer: chip type 1, chip type 2, or chip type 3. Kristen hypothesizes that individuals will prefer potato chips that are fried in canola oil over those that are fried in animal fat or baked.
1. Weight the data file by the number of case to conduct the analysis.
2. conduct a one-sample chi-square test to evaluate whether cooking method affects taste. From the output, identify the following
a. Observed frequency for potato chips fried in canola oil
b. p value
c. X2 value
3. What are the expected frequencies for the three categories of potato chips?
4. Write a Results section based on your analyses.
Lesson 42 here are the instructions:
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 at lunch time the Big Mac special (Big Mac, large fries, and large coke). The Big Mac eaters were classified by the assistants as overweight, normal weight, or neither overweight nor normal weight. The assistants identify 10 overweight Big Mac eaters and 30 normal weight Big Mac eaters. (Individuals who were neither overweight nor normal weight were disregarded.) The assistants record the amount of time it took for the individuals in the two groups to complete their Big Mac special meals,. One variable is weight with two levels, overweight (= 1) and normal weight ( =2), The second variable is time in seconds.
1. Compute a Mann-Whitney Utest on these data. From the output, identify the following:
a. p value
b. z value corrected for ties
c. Mean rank for normal weight individuals
2. Conduct an independent – samples t test. Compare the p value for the Mann-Whitney U test with the p value for the independent-samples t test.
3. Write a Results section based on your analyses. What should you conclude?
4. If you did not include a graph in your Results section, create a graph that shows the distributions of the two groups.
Lesson 43 here are the instructions
Marvin is interested in whether blonds, brunets, and redheads differ in their extroversion. He randomly samples 18 men from his local college campus 6 blonds, 6 brunets, and 6 redheads. he then administers a measure of social extroversion to each individual.
1. Conduct a Kruskal-Wallis test to investigate the relationship between hair color and social extroversion. Should you conduct follow-up tests?
2. Compute an effect size for the overall effect of hair color on extroversions.
3. Create a boxplot to display the differences among the three groups’ distributions.
4. Conduct a one-way ANOVA on these data. How do the results for the ANOVA compare to the results of the Kruskal-Wallis test?
5. Write a Results section based on your analyses.
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