CHAPTER-6 Sampling error and confidence intervals
CHAPTER-6 Sampling error and confidence intervals
Parameter population statistic sample
population sample statistic Parameter error
Section 1 sampling error of mean Section 2 t distribution Section 3 confidence intervals for the population mean
Section 1 sampling error of mean Section 2 t distribution Section 3 confidence intervals for the population mean
Section 1 sampling error of mean
Section 1 sampling error of mean
a simple random sample is a sample of size n drawn from a population of size n in such a way that every possible random samples n has the same probability of being selected. Variability among the simple random samples drawn from the same population is called sampling variability, and the probability distribution that characterizes some aspect of the sampling variability, usually the mean but not always, is called a sampling distribution. These sampling distributions allow us to make objective statements about population parameters without measuring every object in the population
A simple random sample is a sample of size n drawn from a population of size N in such a way that every possible random samples n has the same probability of being selected. Variability among the simple random samples drawn from the same population is called sampling variability, and the probability distribution that characterizes some aspect of the sampling variability, usually the mean but not always, is called a sampling distribution. These sampling distributions allow us to make objective statements about population parameters without measuring every object in the population