BIOL 243 Lecture Notes - Lecture 8: Null Hypothesis, Statistical Hypothesis Testing, Statistical Parameter

• School: Queen's University
• Department: Biology
• Course: BIOL 243
• Professor: William Nelson

Document Summary

Statistical tests are all about yes or no, not ci. Our inference here will only e a yes or no but we will be connecting this back to the effect size. Alternative h: claim about a population parameter that represents everything not included in the null h. (here is where the one tailed or two tailed) If you put directionality in the null hypothesis: finding the null and alternative hypothesis sets up everything. Hypothesis testing: only about comparing your data to a null hypothesis. If your data are unlikely, (assuming the null is true) then the null hypothesis is rejected. State the null hypothesis and alternative testing: 2. Establish your null distribution and test statistics: 3. Freq vs viral load chart: this collection of data differs from the common flu, we want to know. Make sure you can do the r test yourself!