AGRC1023 Lecture Notes - Lecture 1: Telephone Directory, Null Hypothesis, Statistical Inference
Document Summary
Nothing can be concluded for cause and effect. Studies designed according to principles of experimental design. Intent of using statistical inference to find out cause & effect. Individual units of experiment to which treatments are applied. Total number of units = replicates x treatments (in simple, one- way anova) List, map or conceptual specification of people/units from which population sample selected. Examples: telephone directory, list of group members, selected farm, etc. Layman"s description of what you want to find out the basic question. Null hypothesis: grain a will result in greatest weight gain in beef cattle; alternative hypothesis: grain a will not result in greatest weight gain in beef cattle. These help to set boundaries determined by the population values o o. Confidence intervals (ci) of a sample mean o o o o. Gives us an upper and lower bound of values within which a true population value falls.
