SOC SCI H1E Lecture Notes - Lecture 8: Null Hypothesis, Publication Bias, Homeostasis
6 May 2019
School
Department
Course
Professor
Document Summary
H1: chloe is sick (& therefore should not have come to class) Need to get something that we can measure. In this case, could get her temperature. These factors will not definitively tell whether chloe is sick. Could also look at how often they cough, whether she is sniffling, heartbeat, etc. Hypothesis that we are testing for/looking for is h1. **p-value: probability of getting a result at least as extreme as the result measured if the null hypothesis (h0) is true (should be able to draw bell curve diagram for exam) In a lot of sciences -> there is threshold to claim a discovery. Temperatures that will get if h0 is true. Let"s suppose he takes chloe"s temperature & its 100 degrees f. Smaller p-value means that it is more likely that she is sick. Look at the area of the bell curve @100 degrees & those above -> results at least as extreme as result measured.
