IMM250H1 Lecture Notes - Lecture 5: Central Limit Theorem, Statistical Inference, Statistic
Document Summary
To infer: draw conclusion about something from another piece of information. Statistics are used to estimate parameters statistics are an inference about population parameters. We"ll focus a lot on mean and proportion crucial to data. Review: remember that populations are so big that we can"t get information from every case. Choosing which cases to study: we choose a sample (carefully chosen subset of the population) and use information from that to generalize to the population. The sample should be representative of the population. Representative: sample has the same characteristics as the population. Estimating population parameters from sample statistics requires that samples are representative of the population. Samples drawn according to the rule of epsem(equal probability of selection method), in which every case in the population has the same chance of being selected for the sample are likely to be representative. Random sample of 500 students from n = 20,000 (all uni kids).
