内容正文:
Chapter
Hypothesis Testing with One Sample
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
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Larson/Farber 6th ed
Chapter 1
Chapter Outline
7.1 Introduction to Hypothesis Testing
7.2 Hypothesis Testing for the Mean ( Known)
7.3 Hypothesis Testing for the Mean ( Unknown)
7.4 Hypothesis Testing for Proportions
7.5 Hypothesis Testing for Variance and Standard
Deviation
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Section 7.1
Introduction to Hypothesis Testing
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Section 7.1 Objectives
A practical introduction to hypothesis tests
How to state a null hypothesis and an alternative hypothesis
How to Identify type I and type II errors and interpret the level of significance
How to know whether to use a one-tailed or two-tailed statistical test and find a P-value
How to make and interpret a decision based on the results of a statistical test
How to write a claim for a hypothesis test
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
Hypothesis Tests
Hypothesis test
A process that uses sample statistics to test a claim about the value of a population parameter.
For example: Consider a manufacturer that advertises its new hybrid car has a mean gas mileage of 50 miles per gallon. If you suspect that the mean mileage is not 50 miles per gallon, how could you show that the advertisement is false?
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
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Hypothesis Tests
Statistical hypothesis
A statement about a population parameter.
Carefully state a pair of hypotheses
one that represents the claim
the other, its complement
When one of these hypotheses is false, the other must be true.
Either hypothesis—the null hypothesis or the alternative hypothesis—may represent the original claim.
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Copyright 2019, 2015, 2012, Pearson Education, Inc.
A null hypothesis H0 is a statistical hypothesis that contains a statement of equality, such as , =, or .
The alternative hypothesis Ha is t