PSYC 218 Lecture Notes - Lecture 17: Type I And Type Ii Errors, Binomial Distribution, Null Hypothesis
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Randomly sample 10 university undergraduates, measure their rt to an event under 2 conditions: Experimental condition: students get brownie with 20 mg of thc in it. Conditional: students get brownie w/ no thc in it. Experimental condition had greater rt than conditional. We could use many tests to analyze data. Considers direction of different scores (their sign ) We obtained 9 out of 10 plus (+) signs. We could have got 9/10 +"s by chance. Marijuana would have had no effect on rt. If it is a low probability, then we might reject chance as an explanation. If it"s a high probability, we might not reject chance as an explanation. We need a rule to tell us when the obtained probability is low enough for us to reject chance as an explanation . We must adopt a critical probability level against which to compare results. Claim that the difference in results between conditions is due to the independent variable (iv)
