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 7.2
Hypothesis Testing for the Mean
( Known)
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Section 7.2 Objectives
How to find and interpret P-values
How to use P-values for a z-test for a mean μ when is known
How to find critical values and rejection regions in the standard normal distribution
How to use rejection regions for a z-test for a mean μ when is known
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Using P-values to Make a Decision
Decision Rule Based on P-value
To use a P-value to make a conclusion in a hypothesis test, compare the P-value with .
If P , then reject H0.
If P > , then fail to reject H0.
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Example: Interpreting a P-value
The P-value for a hypothesis test is P = 0.0237. What is your decision if the level of significance is
= 0.05?
= 0.01?
Solution:
Because 0.0237 < 0.05, you should reject the null hypothesis.
Solution:
Because 0.0237 > 0.01, you should fail to reject the null hypothesis.
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Finding the P-value for a Hypothesis Test
After determining the hypothesis test’s standardized test statistic and the test statistic’s corresponding area, do one of the following to find the P-value.
For a left-tailed test, P = (Area in left tail).
For a right-tailed test, P = (Area in right tail).
For a two-tailed test, P = 2(Area in tail of standardized
test statistic).
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Example: Finding the P-valu