Download Final Exam Practice Questions - Methods of Soil Science | SOIL 5111 and more Exams Agricultural engineering in PDF only on Docsity! SOIL 5111 FINAL EXAM May 1, 2007 1. Good researchers aren’t necessarily characterized by being smart, but by……. 2. Basic research is driven by __________, while applied research is driven by __________ a. intrinsic knowledge, logical thought b. a scientists curiosity or interest, the need to solve practical problems c. practical problems, curiosity d. science, nature 3. _______ developed a vaccine for polio in 1953, and __________ inoculated a patient with a rabies vaccine. 4. What does randomization assure the experimenter of having? 5. What does replication assure the experimenter of having? 6. What kind of error is incurred if a scientist “excludes” data that does not conform to his/her hypotheses? 7. What is the main reason for blocking? 8. If there isn’t a known “gradient” within a field trial, what experimental design is recommended? 9. When you have missing data, what sums of squares should be used? 10. When you have missing data, what analytical procedure should be employed when evaluating treatments? 11. What should you do first when evaluating treatment means? What specifically should you look for before proceeding? 12. LSD’s cannot be used when the treatment structure includes __________________ 13. The impact of the environment on treatment response almost always results in _________________ when analyzing over sites and/or years. 14. Covariance (or analysis of covariance) was discussed in class. What does this mean in simple terms? 15. What are the differences between parametric and non-parametric statistics? 16. ________ ensures that you will have an estimate of experimental error 17. ________ ensures that you will have an unbiased estimate of experimental error 18. A distinct method that was discussed in class can be used by plant breeders and agronomists to interpret year by treatment interactions 19. Which of the following have to be true in order to use an independent variable as a covariate? a. the covariate has to be independent of “trt” b. treatment must be significant when the covariate is analyzed as a dependent variable c. must be collected before treatments are applied d. must be collected after treatments are applied 20. What are the assumptions of analysis of variance? 21. What are two important steps that should be considered when looking at or deciding to delete data as “outliers”? 22. If you used the covariate, what would the model statement look like in SAS (use rep, trt, and the covariate). 23. The very first “PROC” procedure that you should run in any program is ? 24. From #23…. Why?
