01:202:302 Lecture Notes - Lecture 8: Statistical Parameter, Statistic, Fide
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Anytime a sample statistics is not equal to population parameter, there are two possible explanation of this diference. First, it can be just random luctuation; which means it is just a meaningless luke. Second it can be genuine discrepancy which mean there must be a bona ide efect statistical efect. Statistics are estimates of population parameter which might contain errors. Ininite of random samples can be drawn from the population. Each of those random sets might have diferent mean and standard deviation. That is why sample statistics may vary from sample to sample. Hence, a sample statistic can fail to equal a population parameter: a researcher has the results of her initial analysis on two variables of interest in her study on regional homicide diferences in the united states. She has tested an independent variable denoted as region" with labels of. Here, the independent variable (region) is categorical and the dependent variable (homicide) is continuous.