
Statistical inference
... 100%, or a census. • In practice, we use samples that are only a tiny fraction of the population for reasons of cost, time and because they are adequate for the purpose. • How close the estimates are to the population parameters will depend upon the size of the sample, the sample design (e.g. strati ...
... 100%, or a census. • In practice, we use samples that are only a tiny fraction of the population for reasons of cost, time and because they are adequate for the purpose. • How close the estimates are to the population parameters will depend upon the size of the sample, the sample design (e.g. strati ...
Hypothesis Testing
... that result from this decision making process. We call the mistake of rejecting H0 when H0 is true a Type I error. The probability of making a Type I error is the significance level, α. We call the mistake of not rejecting H0 when H1 is true a Type II error. Two facets of hypothesis tests are notewo ...
... that result from this decision making process. We call the mistake of rejecting H0 when H0 is true a Type I error. The probability of making a Type I error is the significance level, α. We call the mistake of not rejecting H0 when H1 is true a Type II error. Two facets of hypothesis tests are notewo ...