SOC210 Lecture 13: Reviews for exam
12 May 2017
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Soc 210 lecture 13 reviews for exam. Allow us to make predictions or inferences about a population form observations based on a sample. Three types of sampling: simple random sampling, stratified sampling, cluster sampling. Estimation procedures: in estimation we select a random sample form a population and use a sample statistics to estimate a population parameter, want estimators to be unbiased and efficient, calculate confidence intervals. The range of values defined by the confidence intervals within which the population parameters is estimated to fall. Means and proportions are unbiased estimators for sample statistics. Large population size is the assurance for the population distribution is normal. Reject to fail to reject null hypothesis normal sampling distribution. = 0. 05, look up t (critical) using df sampling distribution. Level of measurement = interval ratio, normal sampling. Level of measurement = interval - ratio, normal sampling distribution. = 0. 05, look up t (critical) using df. Level of measurement = nominal, normal sampling distribution.
