5-1 Introduction 5-2 Inference on the Means of Two Populations, Variances Known Assumptions.

Slides:



Advertisements
Similar presentations
Probability models- the Normal especially.
Advertisements

Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 9 Inferences Based on Two Samples.
Sampling: Final and Initial Sample Size Determination
Ch 6 Introduction to Formal Statistical Inference.
Hypothesis Testing Steps of a Statistical Significance Test. 1. Assumptions Type of data, form of population, method of sampling, sample size.
Sample size computations Petter Mostad
9-1 Hypothesis Testing Statistical Hypotheses Statistical hypothesis testing and confidence interval estimation of parameters are the fundamental.
Hypothesis : Statement about a parameter Hypothesis testing : decision making procedure about the hypothesis Null hypothesis : the main hypothesis H 0.
1 A heart fills with loving kindness is a likeable person indeed.
4-1 Statistical Inference The field of statistical inference consists of those methods used to make decisions or draw conclusions about a population.
Inference about a Mean Part II
Horng-Chyi HorngStatistics II41 Inference on the Mean of a Population - Variance Known H 0 :  =  0 H 0 :  =  0 H 1 :    0, where  0 is a specified.
Inferences About Process Quality
Chapter 9 Hypothesis Testing.
5-3 Inference on the Means of Two Populations, Variances Unknown
©2006 Thomson/South-Western 1 Chapter 10 – Hypothesis Testing for the Mean of a Population Slides prepared by Jeff Heyl Lincoln University ©2006 Thomson/South-Western.
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
One Sample  M ean μ, Variance σ 2, Proportion π Two Samples  M eans, Variances, Proportions μ1 vs. μ2 σ12 vs. σ22 π1 vs. π Multiple.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 12 Analyzing the Association Between Quantitative Variables: Regression Analysis Section.
Experimental Statistics - week 2
8 - 1 © 2003 Pearson Prentice Hall Chi-Square (  2 ) Test of Variance.
Section 9.1 Introduction to Statistical Tests 9.1 / 1 Hypothesis testing is used to make decisions concerning the value of a parameter.
1/2555 สมศักดิ์ ศิวดำรงพงศ์
4-1 Statistical Inference The field of statistical inference consists of those methods used to make decisions or draw conclusions about a population.
Ch 10 Comparing Two Proportions Target Goal: I can determine the significance of a two sample proportion. 10.1b h.w: pg 623: 15, 17, 21, 23.
Section 10.1 ~ t Distribution for Inferences about a Mean Introduction to Probability and Statistics Ms. Young.
Slide Slide 1 Copyright © 2007 Pearson Education, Inc Publishing as Pearson Addison-Wesley. Section 8-4 Testing a Claim About a Mean:  Known Created by.
Hypothesis testing Chapter 9. Introduction to Statistical Tests.
9-1 Hypothesis Testing Statistical Hypotheses Definition Statistical hypothesis testing and confidence interval estimation of parameters are.
Learning Objectives In this chapter you will learn about the t-test and its distribution t-test for related samples t-test for independent samples hypothesis.
1 Inference on the Variance So if the test is: H 0 :  =  0 H 1 :    0 The test statistic then becomes which follows a chi-square distribution with.
Ch 6 Introduction to Formal Statistical Inference
Statistical Hypotheses & Hypothesis Testing. Statistical Hypotheses There are two types of statistical hypotheses. Null Hypothesis The null hypothesis,
4 Hypothesis & Testing. CHAPTER OUTLINE 4-1 STATISTICAL INFERENCE 4-2 POINT ESTIMATION 4-3 HYPOTHESIS TESTING Statistical Hypotheses Testing.
Chapter 8 Introduction to Hypothesis Testing ©. Chapter 8 - Chapter Outcomes After studying the material in this chapter, you should be able to: 4 Formulate.
Large sample CI for μ Small sample CI for μ Large sample CI for p
Chapter 7 Inferences Based on a Single Sample: Tests of Hypotheses.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Chapter 8 Hypothesis Testing.
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.
Statistical Inference for the Mean Objectives: (Chapter 9, DeCoursey) -To understand the terms: Null Hypothesis, Rejection Region, and Type I and II errors.
12.2 (13.2) Comparing Two Proportions. The Sampling Distribution of.
Slide Slide 1 Section 8-4 Testing a Claim About a Mean:  Known.
MeanVariance Sample Population Size n N IME 301. b = is a random value = is probability means For example: IME 301 Also: For example means Then from standard.
Ex St 801 Statistical Methods Inference about a Single Population Mean.
Inen 460 Lecture 2. Estimation (ch. 6,7) and Hypothesis Testing (ch.8) Two Important Aspects of Statistical Inference Point Estimation – Estimate an unknown.
Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.
Statistical Inference Drawing conclusions (“to infer”) about a population based upon data from a sample. Drawing conclusions (“to infer”) about a population.
P-values and statistical inference Dr. Omar Aljadaan.
1 Hypothesis Tests on the Mean H 0 :  =  0 H 1 :    0.
Statistical Inference Statistical inference is concerned with the use of sample data to make inferences about unknown population parameters. For example,
MATB344 Applied Statistics I. Experimental Designs for Small Samples II. Statistical Tests of Significance III. Small Sample Test Statistics Chapter 10.
10.1 – Estimating with Confidence. Recall: The Law of Large Numbers says the sample mean from a large SRS will be close to the unknown population mean.
Hypothesis Testing. Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean μ = 120 and variance σ.
Chapter 12 Inference for Proportions AP Statistics 12.2 – Comparing Two Population Proportions.
Statistical Inference for the Mean Objectives: (Chapter 8&9, DeCoursey) -To understand the terms variance and standard error of a sample mean, Null Hypothesis,
4-1 Statistical Inference Statistical inference is to make decisions or draw conclusions about a population using the information contained in a sample.
Introduction For inference on the difference between the means of two populations, we need samples from both populations. The basic assumptions.
Chapter 9 Hypothesis Testing.
ESTIMATION.
One-Sample Inference for Proportions
STAT 312 Chapter 7 - Statistical Intervals Based on a Single Sample
Testing a Claim About a Mean:  Known
Introduction to Inference
9 Tests of Hypotheses for a Single Sample CHAPTER OUTLINE
Confidence Intervals.
Inference on the Mean of a Population -Variance Known
Determining Which Method to use
Chapter 12 Inference for Proportions
Statistical Inference for the Mean: t-test
Presentation transcript:

5-1 Introduction

5-2 Inference on the Means of Two Populations, Variances Known Assumptions

The Sampling Distribution of is normally distributed if the (original) population distributions are normal, and is approximately normally distributed if the (original) population is not normal, but the sample size is large. Expected value of is The variance of is

5-2 Inference on the Means of Two Populations, Variances Known Hypothesis Testing on the Difference in Means, Variances Known

5-2 Inference on the Means of Two Populations, Variances Known Hypothesis Testing on the Difference in Means, Variances Known Discuss Example 5-1

5-2 Inference on the Means of Two Populations, Variances Known Type II Error and Choice of Sample Size in(5-2) should be

5-2 Inference on the Means of Two Populations, Variances Known Type II Error and Choice of Sample Size

5-2 Inference on the Means of Two Populations, Variances Known Type II Error and Choice of Sample Size Discuss Example 5-2

The OC curve can also be used to determine the probability of type II error. Calculate If, the probability of type II error is read off the OC curve corresponding to this value of n. If, the probability of type II error is read off the OC curve corresponding to If samples required are equal, it can also be determined while planning by the same procedure as before.

Example #5-2(p223) Two types of plastic are suitable for manufacturing an electronic component. The breaking strength is important. The company will not adopt plastic 1 unless its mean breaking strength exceeds that of plastic 2 by at least 10 psi. Sol: We conclude there is insufficient evidence to support the use of plastic 1 at  = 0.05.

Example #5-3(p223) Two burning rates of two different solid-fuel propellants used in aircrew escape systems are being studied. So, the mean burning rate is the parameter of interest. (a)Test that both propellants have the same mean burning rate. Reject the null hypothesis and conclude the mean burning rates do not differ significantly at  = 0.05.

(b) What is the P-value of the test in (a)? P-value =P( rejecting H0)= © What is the probability of type-II error if the true difference in mean burning rate is 2.5 cm/s?

Determine the required sample size for the situation in (b). If, from the table V(a), n=20. If, we need n=30.

5-2 Inference on the Means of Two Populations, Variances Known Confidence Interval on the Difference in Means, Variances Known

Example #5-3(d) The 95%CI on We are 95% confident that the mean burning rate for solid fuel propellant 2 exceeds that of propellant 1 by between 4.49 and 8.21 cm/s. Also, since the interval does not include 0, we can conclude that the mean burning rates of two propellants are significantly different.

5-2 Inference on the Means of Two Populations, Variances Known

5-2 Inference on the Means of Two Populations, Variances Known

5-2 Inference on the Means of Two Populations, Variances Known Confidence Interval on the Difference in Means, Variances Known Choice of Sample Size

Example #5-3 (d) Construct a 95% CI on the difference in means. We are 95% confident that the mean burning rate for solid fuel propellant 2 exceeds that of propellant 1 by between 4.49 and 8.21 m/s.

Example #5-7 What sample size would be required in each population if we wanted the error in estimating the difference in mean burning rate to be less than 4cm/s with 99% confidence? Sol: E=4 Take

Hw for , 5.8, 5.10