PSYC 2020 Lecture Notes - Lecture 7: Test Statistic, Statistical Parameter, Null Hypothesis

• School: York University
• Department: Psychology
• Course: PSYC 2020
• Professor: Alistair Mapp

Document Summary

Hypothesis testing: what is hypothesis testing, type i and type ii errors, two-tailed vs. one-tailed tests effect size. What is hypothesis testing: statistical methods that use sample data to evaluate a hypothesis about a population parameter. Underlying logic: state a hypothesis about how a treatment will affect a population parameter (usually. M is consistent with the hypothesis hypothesis reasonable. Big discrepancy between m and the hypothesis hypothesis is wrong. Infancy and human deveopment need to be defined. Set the decision criteria based on p(h0 is true: must define high-probability and low- probability, select a level of significance or alpha level. Set the decision criteria based on p(h0 is true) Collect data and compute sample stats: randomly sample 16 infants & instruct parents on increased handling, weigh each infant at 2 yrs and calculate m, compute test statistic (z-score) to compare sample mean (data) with null hypothesis.