Statistical Sciences 1024A/B Lecture Notes - Lecture 15: Test Statistic, Statistical Hypothesis Testing, Confidence Interval
20 Apr 2016
School
Department
Professor
Document Summary
Assesses the evidence provided by data about some claim concerning a population. Confidence intervals are appropriate when our goal is to estimate a population parameter. But when our goal is to prove that the population parameter is equal to some hypothesized value, then we use hypothesis tests to test the validity of our claim. A hypothesis test for a parameter is a procedure that allows an experimenter to assess the credibility of a hypothesis about the value of plausible. Hypothesis testing allows us to decide which of two contradictory claims about a parameter is more hypotheses. The alternate hypothesis describes the situation when the null hypothesis is not true. The verbal statement of the alternate hypothesis become some effect or some difference . This translates into a statement that contradicts the statement made by the null hypothesis. The alternate hypothesis is the hypothesis that the researcher is trying to gather evidence to support.
