In: Statistics and Probability
To detect the presence of harmful insects in farm fields, we can put up boards covered with a sticky material and examine the insects trapped on the boards. Which colors attract insects best? Experimenters placed six boards of each of four colors at random locations in a field of oats and measured the number of cereal leaf beetles trapped. Conduct a one-way ANOVA
Conduct a hypothesis test using the One Way ANOVA approach to compare the null hypothesis that all means are equal versus at least two means are not equal. Use a type 1 error rate of 5%. Write down all steps in the hypothesis testing process and define the parameters under the null and alternative hypotheses.
Blue | Green | White | Red |
16 | 37 | 21 | 45 |
11 | 32 | 12 | 59 |
20 | 20 | 14 | 48 |
21 | 29 | 17 | 46 |
14 | 37 | 13 | 38 |
7 | 32 | 20 | 47 |
Step One: State the Hypotheses
Let be the average of number of cereal leaf beetles trapped in all groups.
Step Two: Calculate the Test Statistic
Enter data in excel.
Click on Data->Data Analysis->One way ANOVA
Enter data in data range, click OK.
The output is shown below:
The test statistic is F=42.84
Step Three: Find the P-value
From the above output, p-value=0.0000
Step Four: Decision (compare the p-value to alpha)
Since p-value=0.0000 is less than type 1 error rate of 5% (0.05), we reject the null hypothesis.
Step Five: Conclusion (be sure this is in complete sentence form)
We can conclude that at least two groups have different means.