PSYC 300B Chapter Notes - Chapter 5-6: Type I And Type Ii Errors, Null Hypothesis, Statistical Hypothesis Testing

• School: University of Victoria
• Department: Psychology
• Course: PSYC 300B
• Professor: David Medler

Document Summary

P(obs) = actual probability that you"ve made a type i error. When we reject the null, we say that the data is not a random occurrence, but more likely, it re ects an effect of our treatment. But, there is always some possibility of error (ex. if p(obs) = 0. 01, rejecting the null means that the actual probability of a type i error = 1%) Therefore, hypothesis testing tells us what the probability of observing an event is just due to chance, but it does not tell us how strongly our treatment of participants is related to their change in performance/behaviour. P(obs) how strong the relationship is between the iv & dv. Associated with the decision about h0 & h1. The probability that the experimental outcome allows for the rejection of. Is a probability value, so the range for power is 0. 00 to +1. 00.