BIOLOGY 173 Lecture Notes - Lecture 6: Sample Size Determination, Resistant Starch, Null Hypothesis
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Sample size (n): the number of data points in each group. Effect size: size of the difference in mean, strength of connection. Variance: how much variation is there within each group. The basic hypothesis or question you are investigating. May or may not have a direction prediction associated with it i. e) the concentration of butyrate is different between individuals consuming accessible and individuals consuming resistant starch. Samples needs to come from the population you want to investigate. T-test: test for difference in mean between two groups. Usually that there is no difference between two groups. Written as an equation. i. e) no difference between concentration of rs and cs p-value is the probability of obtaining a result equal to or more extreme than what we saw if the null hypothesis is true. P-value>0. 05: likely to get a result like ours by chance if null is true (fail to reject null)