PSYB07H3 Lecture Notes - Sampling Error, Sampling Distribution, Descriptive Statistics
Document Summary
For the assignment, if you have not handed it in change: mean = 20 and standard deviation = What do i expect? what do i observe. Is there too big a difference between the expected and the observed in relation to the expected spread for me to have 95 confidence that i cant reject what"s going to be the known. So now we"re going to deal with a group of observations, For example we are going to test a treatment, descriptive statistics cant answer inferential questions. Sampling error occurs when we have these apparent differences but they are due to chance alone. Has a population mean of 100 , lets say its iq, we know. You cant know that because you only have the expected value, 100 and the observed value, 107, but you don"t know the distribution to find out the 95% confidence limits to make a decision.
