MATH 321 Lecture Notes - Lecture 48: Type I And Type Ii Errors, Null Hypothesis, Statistical Hypothesis Testing
14 Jul 2019
School
Department
Course
Professor
Document Summary
10. 1 the language of hypothesis testing learning objectives: determine the null and alternative hypotheses 2. Explain type i and type ii errors: state conclusions to hypothesis tests. A hypothesis is a statement regarding a characteristic of one or more populations. In this chapter, we look at hypotheses regarding a single population parameter. Examples of claims regarding a characteristic of a single population: in 2008, 62% of american adults regularly volunteered their time for charity work. Examples of claims regarding a characteristic of a single population: according to a study published in march, 2006 the mean length of a phone call on a cellular telephone was 3. 25 minutes. Examples of claims regarding a characteristic of a single population: using an old manufacturing process, the standard deviation of the amount of wine put in a bottle was 0. 23 ounces. If population data are available, there is no need for inferential statistics.
