10-1 Introduction 10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Figure 10-1 Two independent populations.

Slides:



Advertisements
Similar presentations
Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 9 Inferences Based on Two Samples.
Advertisements

Statistics Review – Part II Topics: – Hypothesis Testing – Paired Tests – Tests of variability 1.
One sample T Interval Example: speeding 90% confidence interval n=23 Check conditions Model: t n-1 Confidence interval: 31.0±1.52 = (29.48, 32.52) STAT.
Chapter 11- Confidence Intervals for Univariate Data Math 22 Introductory Statistics.
Chapter 5: Confidence Intervals.
Confidence Interval and Hypothesis Testing for:
Chapter 10 Two-Sample Tests
PSY 307 – Statistics for the Behavioral Sciences
10-1 Introduction 10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Figure 10-1 Two independent populations.
Sample size computations Petter Mostad
9-1 Hypothesis Testing Statistical Hypotheses Statistical hypothesis testing and confidence interval estimation of parameters are the fundamental.
Horng-Chyi HorngStatistics II_Five43 Inference on the Variances of Two Normal Population &5-5 (&9-5)
8 Statistical Intervals for a Single Sample CHAPTER OUTLINE
IEEM 3201 Two-Sample Estimation: Paired Observation, Difference.
4-1 Statistical Inference The field of statistical inference consists of those methods used to make decisions or draw conclusions about a population.
Chapter 2 Simple Comparative Experiments
Inferences About Process Quality
1 Inference About a Population Variance Sometimes we are interested in making inference about the variability of processes. Examples: –Investors use variance.
Chapter 10, sections 1 and 4 Two-sample Hypothesis Testing Test hypotheses for the difference between two independent population means ( standard deviations.
8-1 Introduction In the previous chapter we illustrated how a parameter can be estimated from sample data. However, it is important to understand how.
5-3 Inference on the Means of Two Populations, Variances Unknown
1 Confidence Intervals for Means. 2 When the sample size n< 30 case1-1. the underlying distribution is normal with known variance case1-2. the underlying.
Hypothesis Testing :The Difference between two population mean :
Chapter 9 Title and Outline 1 9 Tests of Hypotheses for a Single Sample 9-1 Hypothesis Testing Statistical Hypotheses Tests of Statistical.
Statistical Inference for Two Samples
Chapter 9 Two-Sample Tests Part II: Introduction to Hypothesis Testing Renee R. Ha, Ph.D. James C. Ha, Ph.D Integrative Statistics for the Social & Behavioral.
Two Sample Tests Ho Ho Ha Ha TEST FOR EQUAL VARIANCES
5-1 Introduction 5-2 Inference on the Means of Two Populations, Variances Known Assumptions.
Statistical Intervals for a Single Sample
Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Chapter 10 One- and Two-Sample Tests of Hypotheses.
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
9-1 Hypothesis Testing Statistical Hypotheses Definition Statistical hypothesis testing and confidence interval estimation of parameters are.
Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 9 Inferences Based on Two Samples.
1 10 Statistical Inference for Two Samples 10-1 Inference on the Difference in Means of Two Normal Distributions, Variances Known Hypothesis tests.
4 Hypothesis & Testing. CHAPTER OUTLINE 4-1 STATISTICAL INFERENCE 4-2 POINT ESTIMATION 4-3 HYPOTHESIS TESTING Statistical Hypotheses Testing.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 10 Comparing Two Groups Section 10.4 Analyzing Dependent Samples.
Statistics for Managers Using Microsoft Excel, 4e © 2004 Prentice-Hall, Inc. Chap 9-1 Chapter 9 Two-Sample Tests Statistics for Managers Using Microsoft.
© Copyright McGraw-Hill 2000
1 9 Tests of Hypotheses for a Single Sample. © John Wiley & Sons, Inc. Applied Statistics and Probability for Engineers, by Montgomery and Runger. 9-1.
Chapter 10 Statistical Inference for Two Samples Twice as much fun as one sample.
5-1 Introduction 5-2 Inference on the Means of Two Populations, Variances Known Assumptions.
Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 9 Inferences Based on Two Samples Confidence Intervals and Tests of Hypotheses.
- We have samples for each of two conditions. We provide an answer for “Are the two sample means significantly different from each other, or could both.
Chapter 10 Statistical Inference for Two Samples More than one but less than three! Chapter 10B < X
Business Statistics, 4e, by Ken Black. © 2003 John Wiley & Sons Business Statistics, 4e by Ken Black Chapter 10 Statistical Inferences about Two.
Copyright © 2010 Pearson Addison-Wesley. All rights reserved. Chapter 9 One- and Two-Sample Estimation Problems.
Statistical Inference Statistical inference is concerned with the use of sample data to make inferences about unknown population parameters. For example,
SECTION 1 HYPOTHESIS TEST FOR THE DIFFERENCE IN TWO POPULATION PROPORTIONS Two-Population Tests With Qualitative Data  A lot.
Chapter 9 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypothesis.
Copyright © 2013 Pearson Education, Inc. All rights reserved Chapter 8 Inferences Based on a Single Sample Tests of Hypothesis.
Lecture 8 Estimation and Hypothesis Testing for Two Population Parameters.
Chapter 8 Estimation ©. Estimator and Estimate estimator estimate An estimator of a population parameter is a random variable that depends on the sample.
1 Design and Analysis of Experiments (2) Basic Statistics Kyung-Ho Park.
Hypothesis Tests u Structure of hypothesis tests 1. choose the appropriate test »based on: data characteristics, study objectives »parametric or nonparametric.
Chapter 17 Estimation and Hypothesis Tests: Two Populations.
Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 7 Inferences Concerning Means.
Chapter 14 Single-Population Estimation. Population Statistics Population Statistics:  , usually unknown Using Sample Statistics to estimate population.
Introduction For inference on the difference between the means of two populations, we need samples from both populations. The basic assumptions.
Inference for the Mean of a Population
Two-Sample Hypothesis Testing
Statistical Quality Control, 7th Edition by Douglas C. Montgomery.
Chapter 4. Inference about Process Quality
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
Psychology 202a Advanced Psychological Statistics
Chapter 2 Simple Comparative Experiments
CONCEPTS OF ESTIMATION
9 Tests of Hypotheses for a Single Sample CHAPTER OUTLINE
1/2555 สมศักดิ์ ศิวดำรงพงศ์
Presentation transcript:

10-1 Introduction

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Figure 10-1 Two independent populations.

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Assumptions

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known

Hypothesis Tests for a Difference in Means, Variances Known

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Example 10-1

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Example 10-1

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Example 10-1

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Type II Error and Choice of Sample Size Use of Operating Characteristic Curves Two-sided alternative: One-sided alternative:

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Type II Error and Choice of Sample Size Sample Size Formulas Two-sided alternative:

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Type II Error and Choice of Sample Size Sample Size Formulas One-sided alternative:

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Example 10-3

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Confidence Interval on a Difference in Means, Variances Known Definition

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Example 10-4

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Example 10-4

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Choice of Sample Size

10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known One-Sided Confidence Bounds Upper Confidence Bound Lower Confidence Bound

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Hypotheses Tests for a Difference in Means, Variances Unknown We wish to test: Case 1:

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Hypotheses Tests for a Difference in Means, Variances Unknown The pooled estimator of  2 : Case 1:

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Hypotheses Tests for a Difference in Means, Variances Unknown Case 1:

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Definition: The Two-Sample or Pooled t-Test *

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-5

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-5

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-5

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-5

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Minitab Output for Example 10-5

Figure 10-2 Normal probability plot and comparative box plot for the catalyst yield data in Example (a) Normal probability plot, (b) Box plots Inference for a Difference in Means of Two Normal Distributions, Variances Unknown

Hypotheses Tests for a Difference in Means, Variances Unknown Case 2: is distributed approximately as t with degrees of freedom given by

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Hypotheses Tests for a Difference in Means, Variances Unknown Case 2:

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-6

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-6 (Continued)

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-6 (Continued)

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-6 (Continued) Figure 10-3 Normal probability plot of the arsenic concentration data from Example 10-6.

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-6 (Continued)

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Type II Error and Choice of Sample Size Example 10-7

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Minitab Output for Example 10-7

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Confidence Interval on the Difference in Means, Variance Unknown Case 1:

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-8 Case 1:

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Case 1: Example 10-8 (Continued)

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Case 1: Example 10-8 (Continued)

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Example 10-8 (Continued) Case 1:

10-3 Inference for a Difference in Means of Two Normal Distributions, Variances Unknown Confidence Interval on the Difference in Means, Variance Unknown Case 2:

A special case of the two-sample t-tests of Section 10-3 occurs when the observations on the two populations of interest are collected in pairs. Each pair of observations, say (X 1j, X 2j ), is taken under homogeneous conditions, but these conditions may change from one pair to another. The test procedure consists of analyzing the differences between hardness readings on each specimen Paired t-Test

The Paired t-Test 10-4 Paired t-Test

Example Paired t-Test

Example Paired t-Test

Example Paired t-Test

Paired Versus Unpaired Comparisons 10-4 Paired t-Test

A Confidence Interval for  D 10-4 Paired t-Test Definition

Example Paired t-Test

Example Paired t-Test

The F Distribution 10-5 Inferences on the Variances of Two Normal Populations We wish to test the hypotheses: The development of a test procedure for these hypotheses requires a new probability distribution, the F distribution.

The F Distribution 10-5 Inferences on the Variances of Two Normal Populations

The F Distribution 10-5 Inferences on the Variances of Two Normal Populations

The F Distribution 10-5 Inferences on the Variances of Two Normal Populations The lower-tail percentage points f  -1,u, can be found as follows.

Hypothesis Tests on the Ratio of Two Variances 10-5 Inferences on the Variances of Two Normal Populations

Hypothesis Tests on the Ratio of Two Variances 10-5 Inferences on the Variances of Two Normal Populations

Example Inferences on the Variances of Two Normal Populations

Example Inferences on the Variances of Two Normal Populations

Example Inferences on the Variances of Two Normal Populations

Type II Error and Choice of Sample Size 10-5 Inferences on the Variances of Two Normal Populations

Example Inferences on the Variances of Two Normal Populations

Confidence Interval on the Ratio of Two Variances 10-5 Inferences on the Variances of Two Normal Populations

Example Inferences on the Variances of Two Normal Populations

Example Inferences on the Variances of Two Normal Populations

Example Inferences on the Variances of Two Normal Populations

Large-Sample Test on the Difference in Population Proportions 10-6 Inference on Two Population Proportions We wish to test the hypotheses :

Large-Sample Test on the Difference in Population Proportions 10-6 Inference on Two Population Proportions The following test statistic is distributed approximately as standard normal and is the basis of the test :

10-6 Inference on Two Population Proportions Large-Sample Test on the Difference in Population Proportions

Example Inference on Two Population Proportions

Example Inference on Two Population Proportions

Example Inference on Two Population Proportions

Minitab Output for Example Inference on Two Population Proportions

Type II Error and Choice of Sample Size 10-6 Inference on Two Population Proportions

Type II Error and Choice of Sample Size 10-6 Inference on Two Population Proportions

Type II Error and Choice of Sample Size 10-6 Inference on Two Population Proportions

Confidence Interval on the Difference in the Population Proportions 10-6 Inference on Two Population Proportions

Example Inference on Two Population Proportions

Example Inference on Two Population Proportions

10-7 Summary Table and Road Map for Inference Procedures for Two Samples Table 10-4

10-7 Summary Table and Road Map for Inference Procedures for Two Samples Table 10-4 (Continued)