Chapter 9 Hypothesis Testing

Slides:



Advertisements
Similar presentations
(Hypothesis test for small sample sizes)
Advertisements

Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations.
© 2010 Pearson Prentice Hall. All rights reserved Hypothesis Testing Using a Single Sample.
Business 205. Review Sampling Continuous Random Variables Central Limit Theorem Z-test.
Chapter 9 Hypothesis Testing Testing Hypothesis about µ, when the s.t of population is known.
Chapter 9 Hypothesis Testing 9.4 Testing a Hypothesis about a Population Proportion.
8-5 Testing a Claim About a Standard Deviation or Variance This section introduces methods for testing a claim made about a population standard deviation.
Hypothesis Testing and T-Tests. Hypothesis Tests Related to Differences Copyright © 2009 Pearson Education, Inc. Chapter Tests of Differences One.
Jump to first page HYPOTHESIS TESTING The use of sample data to make a decision either to accept or to reject a statement about a parameter value or about.
Claims about a Population Mean when σ is Known Objective: test a claim.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Inference about Two Population Standard Deviations.
The Probability of a Type II Error and the Power of the Test
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Chapter 11 Inferences About Population Variances n Inference about a Population Variance n.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved.Copyright © 2010 Pearson Education Section 9-5 Comparing Variation in.
Hypothesis Testing for Variance and Standard Deviation
Copyright © 2010, 2007, 2004 Pearson Education, Inc Chapter 12 Analysis of Variance 12.2 One-Way ANOVA.
Slide Slide 1 Section 8-6 Testing a Claim About a Standard Deviation or Variance.
1 Objective Compare of two population variances using two samples from each population. Hypothesis Tests and Confidence Intervals of two variances use.
Hypothesis Testing for Standard Deviation or Variance.
Slide Slide 1 Section 8-4 Testing a Claim About a Mean:  Known.
10.5 Testing Claims about the Population Standard Deviation.
Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.
7.5 Hypothesis Testing for Variance and Standard Deviation Key Concepts: –The Chi-Square Distribution –Critical Values and Rejection Regions –Chi-Square.
Inferences Concerning Variances
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
CHAPTER 10 ANOVA - One way ANOVa.
§2.The hypothesis testing of one normal population.
Section 8-6 Testing a Claim about a Standard Deviation or Variance.
Hypothesis Testing for the Mean:
Chapter 10 Inferences on Two Samples 10.1 Inference about Means: Dependent Sampling.
Hypothesis Testing. Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean μ = 120 and variance σ.
Chapter 10 Section 5 Chi-squared Test for a Variance or Standard Deviation.
Hypothesis Tests for a Population Standard Deviation.
Copyright © 2010, 2007, 2004 Pearson Education, Inc Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Analysis of Variance ANOVA - method used to test the equality of three or more population means Null Hypothesis - H 0 : μ 1 = μ 2 = μ 3 = μ k Alternative.
1 Section 8.4 Testing a claim about a mean (σ known) Objective For a population with mean µ (with σ known), use a sample (with a sample mean) to test a.
© 2010 Pearson Prentice Hall. All rights reserved Chapter Hypothesis Tests Regarding a Parameter 10.
© 2010 Pearson Prentice Hall. All rights reserved Chapter Hypothesis Tests Regarding a Parameter 10.
Chapter 10 Inference on Two Samples 10.3 Inference About Two Population Proportions.
Lecture Slides Elementary Statistics Twelfth Edition
Chapter 7 Hypothesis Testing with One Sample.
Chapter 7 Hypothesis Testing with One Sample.
STAT 312 Chapter 7 - Statistical Intervals Based on a Single Sample
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
Chapter 9 Hypothesis Testing
Hypothesis Tests Regarding a Parameter
Math 4030 – 10a Tests for Population Mean(s)
Monthly utility bills factor into local cost of living measures
Chapter 8 Hypothesis Testing with Two Samples.
Chapter 9 Hypothesis Testing
Elementary Statistics: Picturing The World
Chapter 7 Hypothesis Testing with One Sample.
Inferences on Two Samples Summary
Chapter 9 Hypothesis Testing
Chapter 8 Lecture 4 Section: 8.6.
Inference about Two Means: Independent Samples
Hypothesis Tests Regarding a Parameter
Hypothesis Tests for a Population Mean
CHAPTER 6 Statistical Inference & Hypothesis Testing
Chapter 9 Hypothesis Testing
Homogeneity of Variance
Summary of Tests Confidence Limits
Hypothesis Tests for a Standard Deviation
Doing t-tests by hand.
Chapter 24 Comparing Two Means.
Hypothesis Testing for Proportions
Testing a Claim About a Standard Deviation or Variance
7.4 Hypothesis Testing for Proportions
Inference about Two Means: Dependent Samples
Presentation transcript:

Chapter 9 Hypothesis Testing

Hypothesis Test Regarding a Population Variance or Standard Deviation If a claim is made regarding the population variance or standard deviation, we can use the following steps to test the claim provided (1) the sample is obtained using simple random sampling (2) the population is normally distributed

Step 1: A claim is made regarding the population variance or standard deviation. The claim is used to determine the null and alternative hypothesis. We present the three cases for a claim regarding a population standard deviation.

Step 4: Compare the critical value with the test statistic.

Step 5: State the conclusion.

351 360 358 356 359 358 355 361 352 EXAMPLE Hypothesis Testing A can of 7-Up states that the contents of the can are 355 ml. A quality control engineer is worried that the filling machine is miscalibrated. In other words, she wants to make sure the machine is not under- or over-filling the cans. She randomly selects 9 cans of 7-Up and measures the contents. She obtains the following data. 351 360 358 356 359 358 355 361 352