In this problem set you will get some practice performing One-Way Analysis of Variance. Enjoy!
Listed below are measured amounts of greenhouse gas emissions from cars in three different categories. The data are taken from the Car Measurements data set that can be found in the statdisk datasets for our textbook. The measurements are in tons per year, expressed as CO2 equivalents. The goal of the study is to determine whether the number of cylinders appears to be related to the average amount of greenhouse gas emissions by using a 5% significance level to test the claim that the different car categories have different mean amounts of greenhouse gas emissions.
Four Cylinder 7.2 7.9 6.8 7.4 6.5 6.6 6.7 6.5 6.5 7.1 6.7 5.5 7.3
Six Cylinder 8.7 7.7 7.7 8.7 8.2 9.0 9.3 7.4 7.0 7.2 7.2 8.2
Eight Cylinder 9.3 9.3 9.3 8.6 8.7 9.3 9.3
1. What are the independent variable and the dependent variable for this study? Why?
2. What are the null and alternate hypotheses for this test? Why?
Null hypothesis: each of the three groups of cars has the same mean emission level
Alternative hypothesis: at least one of the groups of cars has a different mean emission level
3. Enter the data into statdisk using three columns with one column for each of the car categories. Use the One-Way Analysis of Variance task in the Analysis menu to fill in the table below using a 5% significance level.
Source DF SS MS F Test Stat. Critical F P-value
Between Groups 2 25.08585165 12.54292582 32.32095735 3.327654 4.15386E-08
Within Groups 29 11.25414835 0.388074081
Total 31 36.34
4. Use the results in the table above to demonstrate the formula
DF Total = DF Treatment + DF Error.
5. Use the results in the table above to demonstrate the formula
MS Treatment = SS Treatment / DF Treatment.
6. Use the results in the table above to demonstrate the formula
MS Error = SS Error / DF Error.
7. Use the results in the table above to demonstrate the formula
F Test Statistic = MS Treatment / MS Error.
8. Use the plot button to create a graph of the F-distribution for this study. Paste a copy of the graph below, and resize it to fit nicely.
9. What is the reported critical value for this hypothesis test using a 5% significance level?
10. What is the reported p-value for this hypothesis test using a 5% significance level?
11. State the decision for this test. Explain the reason for this decision using a comparison of the critical value to the computed test statistic, a comparison of the p-value to the 5% significance level, and the graph displayed above.
12. Do the different car categories appear to have different mean amounts of greenhouse gas emissions? Explain this using the results above.
13. Does the number of cylinders appear to be related to the average amount of greenhouse gas emissions? Explain this using the results above.© BrainMass Inc. brainmass.com October 25, 2018, 10:09 am ad1c9bdddf
The solution gives detailed steps on analyzing the results of one-way ANOVA with given data.
DATA to DECISION - drug Xynamine, ANOVA
From DATA to DECISION
Critical Thinking: Should you approve this drug?
Placebo 10mg 20mg
Group Group Group
77 67 7
61 48 94
66 79 57
63 67 63
81 57 69
75 71 59
66 66 64
79 85 82
66 75 34
75 77 76
48 57 59
70 45 53
Consider the development of Xynamine—a new drug designed to lower pulse rates. In order to obtain more consistent results that do not have a confounding variable of gender, the drug is tested using males only. Given below are pulse rates for a placebo group, a group of men treated with Xynamine in 10 mg doses, and a group of men treated with 20 mg doses of Xynamine.
1. Use Excel or SAS to perform the one-way analysis of variance (ANOVA) for the data.
APA format is required, and solid academic writing is expected
2. Analyze the Results
Analyze the data using the methods of this chapter. (One-way analysis of variance (ANOVA))
Based on the results, write a brief report summarizing your findings minimum 500 words.
A. Does it appear that there is sufficient evidence to support the claim that the drug lowers pulse rates?
B. Are there any serious problems with the design of the experiment?
C. Given that only males were involved in the experiment, do the results also apply to females?
D. The project manager compared the post-treatment pulse rates to the mean pulse rate for adult males.
E. Is there a better way to measure the drug's effectiveness in lowering pulse rates?
F. How would you characterize the overall validity of the experiment?
G. Based on the available results, should the drug be approved?
Minimum of three citations required