AGRC1023 Lecture Notes - Lecture 2: Pooled Variance, Null Hypothesis, Standard Deviation
Document Summary
This is the total number of values minus 1 n 1. It represents the amount of information in a group of values. The amount an individual value is above or below the calculated mean for the data set. Average of the deviations from the mean = 0 o o o. Probability related to the t-test (test statistic), allowing decisions to be made about the null hypothesis. High p-value means null hypothesis could easily be true. Low p-value means we can be confident that difference exists (so reject the null hypothesis) The difference between an individual value and its fitted. May be the estimate of a particular mean in anova or fitted line in regression. Used to get value of deviations squared and summed. Sum of squares = dev12 + dev22 + dev32 + dev42. Standard deviation of the sampling distribution of the mean. A result is significant if that result is unlikely to have occurred by chance.
