PSYC 2002 Lecture Notes - Lecture 3: Sample Size Determination, Junkers J 1, Statistical Hypothesis Testing

• School: Carleton University
• Department: Psychology
• Course: PSYC 2002
• Professor: Logan John

Document Summary

February 1, 2017: hypothesis testing is a statistical procedure in which sample data are used make an inference about the likelihood of a research hypothesis concerning a population. Hypothesis testing: probability: hypothesis testing does not guarantee with 100% certainty, hypothesis testing only indicates that the decision is likely to be true. The larger the sample, the more likely the sample characteristics will reflect population characteristics (it is possible to do hypothesis testing with a sample size of n=1, but it is seldom done) Null hypothesis (ho: the null hypothesis states that no difference exists between the population that receives the treatment and the population that does not receive the treatment. In the simplified version of hypothesis testing, only 1 individual from the population that receives the treatment will be compared to the population that does not receive treatment. Hypotheses as a function of population characteristics: hypotheses are always stated in terms of population parameters, usually mean.