Aim: How do we test the difference between two variances?

Slides:



Advertisements
Similar presentations
© The McGraw-Hill Companies, Inc., Chapter 10 Testing the Difference between Means and Variances.
Advertisements

8.3 T- TEST FOR A MEAN. T- TEST The t test is a statistical test for the mean of a population and is used when the population is normally or approximately.
Chapter 10 Inference on Two Samples 10.4 Inference on Two Population Standard Deviations.
1/71 Statistics Inferences About Population Variances.
Statistics Are Fun! Analysis of Variance
© McGraw-Hill, Bluman, 5th ed., Chapter 9
Unit 8 Section 8-6.
Definitions In statistics, a hypothesis is a claim or statement about a property of a population. A hypothesis test is a standard procedure for testing.
Section 7-2 Hypothesis Testing for the Mean (n  30)
7.3 Hypothesis Testing for the Mean (Small Samples) Statistics Mrs. Spitz Spring 2009.
Chapter 9 Comparing Means
7.2 Hypothesis Testing for the Mean (Large Samples Statistics Mrs. Spitz Spring 2009.
Aim: How do we test a comparison group? Exam Tomorrow.
Section 10.1 ~ t Distribution for Inferences about a Mean Introduction to Probability and Statistics Ms. Young.
Hypothesis Testing for the Mean (Small Samples)
Inference about Two Population Standard Deviations.
Copyright © Cengage Learning. All rights reserved. 10 Inferences Involving Two Populations.
Section 9.5 Testing the Difference Between Two Variances Bluman, Chapter 91.
SECTION 6.4 Confidence Intervals for Variance and Standard Deviation Larson/Farber 4th ed 1.
Copyright © Cengage Learning. All rights reserved. 9 Inferences Involving One Population.
Estimating a Population Variance
Section 10.3 Comparing Two Variances Larson/Farber 4th ed1.
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.
Chapter 10 Section 3 Hypothesis Testing t test for a mean.
Chapter 9 Section 2 Testing the Difference Between Two Means: t Test 1.
1 1 Slide © 2008 Thomson South-Western. All Rights Reserved Slides by JOHN LOUCKS St. Edward’s University.
7.4 Confidence Intervals for Variance and Standard Deviation Statistics.
Copyright © 1998, Triola, Elementary Statistics Addison Wesley Longman 1 Testing a Claim about a Standard Deviation or Variance Section 7-6 M A R I O F.
Created by Erin Hodgess, Houston, Texas Section 8-5 Comparing Variation in Two Samples.
1 Section 9-4 Two Means: Matched Pairs In this section we deal with dependent samples. In other words, there is some relationship between the two samples.
Comparing Two Variances
Copyright © 2013, 2010 and 2007 Pearson Education, Inc. Section Inference about Two Means: Independent Samples 11.3.
Testing Differences in Population Variances
© Copyright McGraw-Hill 2000
1 Objective Compare of two population variances using two samples from each population. Hypothesis Tests and Confidence Intervals of two variances use.
9.2 Testing the Difference Between Two Means: Using the t Test
11.5 Testing the Difference Between Two Variances
© The McGraw-Hill Companies, Inc., Chapter 13 Analysis of Variance (ANOVA)
Confidence Intervals for Variance and Standard Deviation.
Aim: How do we use a t-test?
© Copyright McGraw-Hill 2004
© The McGraw-Hill Companies, Inc., Chapter 10 Testing the Difference between Means, Variances, and Proportions.
Sec 8.5 Test for a Variance or a Standard Deviation Bluman, Chapter 81.
Introduction to Hypothesis Testing
Aim: What are confidence intervals for means that have unknown standard deviations and sample sizes less than 30? Quiz Friday.
Copyright © Cengage Learning. All rights reserved. 9 Inferences Based on Two Samples.
Aim: How do we test the difference between two means? HW#14: complete slide.
Estimating a Population Variance
Section 8-6 Testing a Claim about a Standard Deviation or Variance.
© The McGraw-Hill Companies, Inc., Chapter 12 Analysis of Variance (ANOVA)
Lecture 19 Dustin Lueker.  The p-value for testing H 1 : µ≠100 is p=.001. This indicates that… 1.There is strong evidence that μ=100 2.There is strong.
You will need Your text t distribution table Your calculator And the handout “Steps In Hypothesis Testing” Bluman, Chapter 81.
Chapter 10 Section 5 Chi-squared Test for a Variance or Standard Deviation.
HAWKES LEARNING SYSTEMS Students Matter. Success Counts. Copyright © 2013 by Hawkes Learning Systems/Quant Systems, Inc. All rights reserved. Section 10.5.
Section 7-5 Estimating a Population Variance. MAIN OBJECTIIVES 1.Given sample values, estimate the population standard deviation σ or the population variance.
Unit 8 Section : Hypothesis Testing for the Mean (σ unknown)  The hypothesis test for a mean when the population standard deviation is unknown.
Confidence Intervals. Point Estimate u A specific numerical value estimate of a parameter. u The best point estimate for the population mean is the sample.
SWBAT: -Interpret the t-distribution and use a t- distribution table -Construct a confidence interval when n
Copyright © 2009 Pearson Education, Inc t LEARNING GOAL Understand when it is appropriate to use the Student t distribution rather than the normal.
1 1 Slide IS 310 – Business Statistics IS 310 Business Statistics CSU Long Beach.
10 Chapter Chi-Square Tests and the F-Distribution Chapter 10
Testing the Difference between Means, Variances, and Proportions
Testing Difference among Mean, Variances, and Proportions. Chapter 10
Testing the Difference Between Two Means
Testing the Difference between Means and Variances
Testing the Difference Between Two Variances
Hypothesis Tests for Two Population Standard Deviations
Chapter 9 Testing the Difference Between Two Means, Two Proportions, and Two Variances Copyright © 2012 The McGraw-Hill Companies, Inc. Permission required.
Presentation transcript:

Aim: How do we test the difference between two variances? HW#13: complete two questions on last slides

Comparing Data Not only do we test the difference between two means (yesterdays aim) but statisticians are interested in comparing t two variances and standard deviations

What test do we use? For comparison of two variances or standard deviations, an F test is used

Characteristics of the F Distribution The values of F cannot be negative, because variances are always positive or zero The distribution is positively skewed The mean value of F is approximately equal to 1 The F distribution is a family of curves based on the degrees of freedom of the variance of the numerator and the degrees of freedom of the variance of the denominator

Shapes of F Distributions

Formula for the F Test The larger of the two variances is placed in the numerator regardless of the subscripts

Degrees of Freedom d.f.N  degree of freedom for numerator d.f.D  degree of freedom for denominator NEED TO USE H TABLE

Example Find the critical value for a right-tailed F test when α=0.05, the degrees of freedom for the numerator are 15, and the degrees of freedom for the denominator are 21. Since the test is right tailed with α=0.05, use the 0.05 table. The d.f.N is listed across the top and the d.f.D is listed in the left column Solution: 2.18

Using F table When the degree of freedom values cannot be found in the table, closest values on the smaller side should be used Example: If d.f.N = 14, this value is between given table values of 12 and 15; therefore 12 should be used, to be the safe side

Testing the equality of two variances Left-Tailed Right-Tailed Two-Tailed

Steps State the hypothesis and identify claim Find the critical value Compare the test values Make the decision Summarize the results

Example A medical researcher wishes to see whether the variance of the heart rates (in beats per minute) of smokers is different from the variance of heart rates of people, who do not smoke. Two samples are selected, and the data are as shown. Using α=0.05, is there enough evidence to support the claim? Smoker Nonsmoker n = 26 n = 18 s2 = 36 s2 = 10

Solution Critical value from table = 2.56 F = 36/10 = 3.6 3.6 > 2.56 Summarize the results: There is enough evidence to support the claim that the variance of the heart rates of smokers and nonsmokers is different

Class Work #2 Using the table H, find the P-value interval for each F-Test value F = 2.97, d.f.N=9, d.f.D=14, right tailed F=3.32, d.f.N=6, d.f.D=12, two tailed A researcher claims that the standard deviation of the ages of cats is smaller than the standard deviation of the ages of dogs who are owned by families in a large city. A randomly selected sample of 29 cats has a standard deviation of 2.7 years and a random sample of 16 dogs has a standard deviation of 3.5 years. Is the researcher correct? Use α=0.05. If there is a difference, suggest a reason for the difference.

Homework Question 1

Homework Question 2