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Lecture notes 6 highlights: • Hypothesis testing outline. • Example description. • Setting up the null and alternative hypotheses. • Two tailed vs. one tailed tests. • The level of significance and critical value. • The t-distribution. • The test statistic and p-value. • The statistical decision
28 Apr 2008 Define the null hypothesis, H0. Define the alternative hypothesis, Ha, where Ha is usually of the form “not H0". Define the type I error (probability of falsely rejecting the null), ?, usually 0.05. Calculate the test statistic. Calculate the p-value (probability of getting a result 'as or more extreme' than observed if
C. The hypothesis actually to be tested is usually given the symbol H0, and is commonly referred to as the null hypothesis. As is explained more below, the null hypothesis is assumed to be true unless there is strong evidence to the contrary – similar to how a person is assumed to be innocent until proven guilty. D. The other
CHAPTER 9: HYPOTHESIS TESTING. Lecture Notes for Introductory Statistics. 1. Daphne Skipper, Augusta University (2016). A hypothesis test is a formal way to make a decision based on statistical analysis. A hypothesis test has the following general steps: • Set up two contradictory hypotheses. One represents our
2 Dec 2015 From previous experience we know that the birth weights of babies in. England are Normally distributed with a mean of 3000g and a standard deviation of 500g. We think that maybe babies in Australia have a mean birth weight greater than 3000g and we would like to test this hypothesis. Hypothesis testing.
Intro to Hypothesis Testing - Lecture Notes. Confidence intervals allowed us to find ranges of reasonable values for parameters we were in- terested in. Hypothesis testing will let us make decisions about specific values of parameters or relationships between parameters. There are 5 settings we will be seeing in depth:.
Hypothesis testing. 0 Before getting into the details of the t-test, we need to place it in the wider context of statistical hypothesis testing. 0 You may already know the terms "null hypothesis" and. "alternative hypothesis". 0 These terms fit into the pattern of statistical inference we discussed right at the start of the module:
Student Lecture Notes. 8-1. Fall 2006 – Fundamentals of Business Statistics. 1. Chapter 8. Introduction to. Hypothesis Testing. Fall 2006 – Fundamentals of Business Statistics. 2. Chapter Goals. After completing this chapter, you should be able to: ? Formulate null and alternative hypotheses for applications involving a
Notes on hypothesis testing. November 21, 2010. 1 Null and alternate hypotheses. In scientific research one most often plays off some hypotheses against certain others, and then one performs an experiment to decide whether to reject or not reject certain of these hypotheses. Notice that I said “reject" or “not reject"; that is, I
STT 430/630/ES 760 Lecture Notes: Chapter 6: Hypothesis Testing. 1. February 23, 2009. Chapter 6: Introduction to Hypothesis Testing. One of the primary uses of statistics is to use data to infer something about a population or a probability model. Populations and probability models are defined by parameters. For instance
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