What would be the practical negative impact if your hypothesis test incurred a Type I Error? What would
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What would be the practical negative impact if your hypothesis test incurred a Type I Error? What would be the practical negative impact if the test incurred a Type II Error? (Hint: This is a question about the potential real-world impact if your test is flawed.)
2. What affect will a Type I Error have on your study? (Hint: This question is asking how you might modify your study in order to minimize Type 1 errors. This is a question of statistical, not practical, significance.)
3. What affect will a Type II Error have on your study? (Hint: Again, this is about what you would do, if anything, to your study to minimize Type II error.)
4. Use the the 3PE and the information below to determine if there is a significant difference in yields for this farmer.
Mr. Greenjeans, a farmer in the upper portion of the lower peninsula of Michigan, about 15 miles northwest of Houghton Lake, is testing GM corn on one acre of his farm. This acre of GM corn yielded 156 bushels of corn. Compared to the yield from the other 15 acres of NGM corn; is this a significant difference? Use the .05 significance level?
Bushels of corn per acre data.
| Acre Number |
Bushels
Of corn |
| 1 | 92 |
| 2 | 105 |
| 3 | 114 |
| 4 | 129 |
| 5 | 93 |
| 6 | 138 |
| 7 | 101 |
| 8 | 114 |
| 9 | 121 |
| 10 | 94 |
| 11 | 131 |
| 12 | 95 |
| 13 | 114 |
| 14 | 139 |
| 15 | 109 |
| Upper Limit | |
| Lower Limit | |
| Most Likely | |
| Expected Value from the 3PE equation | |
| Standard Deviation |
Deliverable: Word Document
