SOC350H5 Lecture Notes - Lecture 2: Central Limit Theorem, Standard Deviation, Sampling Distribution
Document Summary
Statistical sig on spss its hypothesis testing. Know concepts and mechanisms behind what you do. We do stats because we want to make inferences on pop that we don"t know much about. Values that comes from sample not from pop. Using sample stats to say something about pop. Statistic is related to sample / parameter used for population. Ability to infer is dependent on sample. Big sample - small errors better estimates. Standard error se is a special kind of stan deviation. Sampling distribution too mean of all sample and made a dist. You would get a mean of means with a normal distribution. Distribution of mean of means has a standard deviation that is called standard errors. Se determine a great chuck of stat sig. We don"t know that value of the population. What do we plug into the eq if we don"t know the standard deviation of population we use the standard deviation of sample.
