PSY201H1 Lecture Notes - Lecture 11: Location Test, Statistical Parameter, Sampling Distribution
Document Summary
As sample size , se . Did the intervention work ( weight?) Definition of hypothesis tesign: using sample data to evaluate an hypothesis about a population parameter. Usually in the context of a research study. Compare two or more sampel ms to each other (lecture 14-15) Sampling distribution allow us to judge the likelihood that difference is due to chance. Turned into a z score problem! Sample mean should be close to the population mean. How much does m deviate from u. M is unlikely to have occured by chance. M falls into the extreme tail of the sampling distribution. Note: if the value is 5% or less likely to occur in the population, then it is significant! If nh is true (that there is not difference between sample and population), Then m should be close to u. If m is not close to u, then nh is wrong reject h0 likely to be a different worth paying attention to.
