SOCB05H3 Chapter Notes - Chapter 16: Null Hypothesis, Inverse Function, Simple Random Sample
Document Summary
The sample must be drawn from the population about which inferences are being made. The inferential statistics assume simple random sampling - hardly ever the case in sample surveys. Not cluster sampling because the estimates of the sampling error may be too small. Standard error sampling technique issues a 100 percent completion rate. Non samplingerror - imperfections of data quality that are a result of factors other than sampling error. Tests of statistical significance - statistical computations that indicate the likelihood that relationships observed between variables in a sample can be attributed to sampling error. Statistical significance - likelihood that relationships observed in a sample could be attributed to sampling error alone. We report the probability that the parameter falls within a certain range (confidence interval) 1 - assumptions regarding the independence of two variables in the population study. 2 - assumptions regarding the representativeness of samples selected through conventional probability sampling procedures.
