PSY 207 Lecture Notes - Lecture 6: Fair Coin, Statistical Inference, Statistic
27 Feb 2017
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Inferential statistics: generalizing from samples to populations, does sample statistic represent the population, can never know for sure. Sampling error = discrepancy between sample and population: can estimate how likely it is that our sample statistic represents the population. Each level of the variable has an equal chance of occurring on any given occasion: although each occasion is random, if repeated many times the sequence of random events will exhibit predictable patterns. In other words, what sample will you draw: what is the population, assuming fair die, each side occurs 16. 67% of the time in the population. In inferential statistics we need some way of relating samples to populations to determine whether our sample represents the population: probability provides a way of linking populations to samples, by knowing the population, we can determine the. Suppose that a friend asks you if their die is fair: visual examination would not help determine the fairness of the die.
