PADM 7060 Quantitative Methods for Public Administration Unit 5 Chapters 13-14 Fall 2004 Jerry Merwin.

Slides:



Advertisements
Similar presentations
Inference about Means/Averages Chapter 23 Looking at means rather than percentages.
Advertisements

Copyright (c) 2004 Brooks/Cole, a division of Thomson Learning, Inc. Chapter 9 Inferences Based on Two Samples.
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 21, Slide 1 Chapter 21 Comparing Two Proportions.
Testing means, part III The two-sample t-test. Sample Null hypothesis The population mean is equal to  o One-sample t-test Test statistic Null distribution.
Chapter 10 Two-Sample Tests
1 Difference Between the Means of Two Populations.
10-1 Introduction 10-2 Inference for a Difference in Means of Two Normal Distributions, Variances Known Figure 10-1 Two independent populations.
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 9-1 Introduction to Statistics Chapter 10 Estimation and Hypothesis.
Statistics 101 Class 9. Overview Last class Last class Our FAVORATE 3 distributions Our FAVORATE 3 distributions The one sample Z-test The one sample.
T-Tests Lecture: Nov. 6, 2002.
Copyright © 2010 Pearson Education, Inc. Chapter 24 Comparing Means.
© 2011 Pearson Education, Inc. Statistics for Business and Economics Chapter 7 Inferences Based on Two Samples: Confidence Intervals & Tests of Hypotheses.
Basic Business Statistics, 10e © 2006 Prentice-Hall, Inc. Chap 10-1 Chapter 10 Two-Sample Tests Basic Business Statistics 10 th Edition.
Hypothesis Testing and T-Tests. Hypothesis Tests Related to Differences Copyright © 2009 Pearson Education, Inc. Chapter Tests of Differences One.
Two Sample Tests Ho Ho Ha Ha TEST FOR EQUAL VARIANCES
Chapter 7 Using sample statistics to Test Hypotheses about population parameters Pages
PADM 7060 Quantitative Methods for Public Administration Unit 4 Chapters Jerry Merwin.
T-test Mechanics. Z-score If we know the population mean and standard deviation, for any value of X we can compute a z-score Z-score tells us how far.
Chapter 9.3 (323) A Test of the Mean of a Normal Distribution: Population Variance Unknown Given a random sample of n observations from a normal population.
1-1 Copyright © 2015, 2010, 2007 Pearson Education, Inc. Chapter 23, Slide 1 Chapter 23 Comparing Means.
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Statistical Inferences Based on Two Samples Chapter 9.
Comparing Two Proportions
Chapter 9 Hypothesis Testing and Estimation for Two Population Parameters.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 24 Comparing Means.
Chapter 9 Section 2 Testing the Difference Between Two Means: t Test 1.
Statistics for the Behavioral Sciences Second Edition Chapter 11: The Independent-Samples t Test iClicker Questions Copyright © 2012 by Worth Publishers.
One-sample In the previous cases we had one sample and were comparing its mean to a hypothesized population mean However in many situations we will use.
Pengujian Hipotesis Dua Populasi By. Nurvita Arumsari, Ssi, MSi.
Copyright © 2007 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Slide
Chap 9-1 Two-Sample Tests. Chap 9-2 Two Sample Tests Population Means, Independent Samples Means, Related Samples Population Variances Group 1 vs. independent.
Determination of Sample Size: A Review of Statistical Theory
Copyright © 2010 Pearson Education, Inc. Chapter 22 Comparing Two Proportions.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Chapter 22 Comparing Two Proportions.
AP Statistics Chapter 24 Comparing Means.
Chapter 8 Parameter Estimates and Hypothesis Testing.
KNR 445 Statistics t-tests Slide 1 Introduction to Hypothesis Testing The z-test.
to accompany Introduction to Business Statistics
Math 4030 – 9b Comparing Two Means 1 Dependent and independent samples Comparing two means.
- 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.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 11 Section 1 – Slide 1 of 26 Chapter 11 Section 1 Inference about Two Means: Dependent Samples.
Comparing Means Chapter 24. Plot the Data The natural display for comparing two groups is boxplots of the data for the two groups, placed side-by-side.
Chapter 9 Inferences Based on Two Samples: Confidence Intervals and Tests of Hypothesis.
Chapter 22 Comparing Two Proportions.  Comparisons between two percentages are much more common than questions about isolated percentages.  We often.
Lecture 8 Estimation and Hypothesis Testing for Two Population Parameters.
Statistics 24 Comparing Means. Plot the Data The natural display for comparing two groups is boxplots of the data for the two groups, placed side-by-side.
Statistics 22 Comparing Two Proportions. Comparisons between two percentages are much more common than questions about isolated percentages. And they.
8-1 Copyright © 2014, 2011, and 2008 Pearson Education, Inc.
Chapter 9 Introduction to the t Statistic
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Comparing Two Proportions
Chapter 10 Two Sample Tests
Chapter 23 Comparing Means.
Chapter 4. Inference about Process Quality
STAT 312 Chapter 7 - Statistical Intervals Based on a Single Sample
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
Statistics Chapter 9: Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses.
Lecture Slides Elementary Statistics Twelfth Edition
Math 4030 – 10a Tests for Population Mean(s)
Psychology 202a Advanced Psychological Statistics
Comparing Two Proportions
Inferences on Two Samples Summary
Chapter 23 Comparing Means.
Elementary Statistics
Comparing Two Proportions
Comparing Two Populations
Chapter 24 Comparing Means Copyright © 2009 Pearson Education, Inc.
Lecture Slides Elementary Statistics Twelfth Edition
Statistical Inference for the Mean: t-test
Inference for Distributions
Presentation transcript:

PADM 7060 Quantitative Methods for Public Administration Unit 5 Chapters Fall 2004 Jerry Merwin

Meier & Brudney Part IV: Inferential Statistics  Unit 4 Chapter 11: Introduction to Inference Chapter 12: Hypothesis Testing  Unit 5 Chapter 13: Estimating Population Proportions Chapter 14: Testing the Difference Between Two Groups

Meier & Brudney: Chapter 13 Estimating Population Proportions  What do we mean by Estimating Population Proportions? Dealing with percentage of population rather than mean Examples: Percentage of  Vehicles that will pass inspection  Recidivism rates  Volunteers who will show up

Meier & Brudney: Chapter 13 Estimating Population Proportions (Page 2)  So how do we Estimate Population Proportions and set confidence limits? Ramsey Prison example (Page 193)  Warden wants to know recidivism rate  Expects good results and wants to brag Journal of Law ‘n’ Order Sample of 100 FBI data system trace on re-arrests within 1 year after release Results of search shows 68 arrested again

Meier & Brudney: Chapter 13 Estimating Population Proportions (Page 3)  Continued Ramsey Prison example (Pages )  Question 1: best estimate of population proportion? Consider 100 samples with an n of 1 Sample Proportion =.68 (estimate of population proportion)  Question 2: standard deviation? See formula on page 194 Does the typical idea of standard deviation fit? Standard deviation is calculated here only to use in calculating the standard error of the proportion.

Meier & Brudney: Chapter 13 Estimating Population Proportions (Page 4)  Continued Ramsey Prison example (Pages )  Question 3: standard error of proportion? Same formula as standard error of mean (see it on page 195)  Question 4: the 95% confidence limits? Can proportions be normally distributed? Each person is either recidivist or not! See formula on 195 with limits

Meier & Brudney: Chapter 13 Estimating Population Proportions (Page 5)  Let’s talk about the Worcester example with hypotheses. Steps on pages Do we accept or reject the null hypothesis?  Who can explain the digression (on 196) ?

Meier & Brudney: Chapter 13 Estimating Population Proportions (Page 6)  How do we determine sample size? or  How big a sample does one need to find out information for our research? See page 197 for method of calculating n Key is proportion of.5

Meier & Brudney: Chapter 13 Estimating Population Proportions (Page 7)  Problems 13.2,

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups  Why would we want to test the difference between two groups? Examples on page 201  Could be comparison of scores before and after some event  Might be how two groups fare with different treatment (mental health)  How different units of an organization do with some factor different

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 2)  How can we compare the means from two groups to see if they are different? Ware County Library example  Bookmobile routes selected at random  Some routes get poster ads, others do not  See data in Table 14.1 on page 202 Experimental Group Control Group Mean 526 books 475 books Std Dev

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 3)  Ware County Library example (Continued)  The null hypothesis is?  When testing the means of the two groups, what are we really asking? *(Probability that they are drawn from same population.)  See the steps on page  This procedure is called “Analysis of Variance”  Note how degrees of freedom are determined: df = (n ‑ 1) + (n ‑ 1)

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 4)  What other tests are used to compare means? Distinctions?  First test: two independent samples and might not have same population variances (thus, analysis of variance)  Second test: equal variances  Third test: dependent samples

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 5)  What other tests are used to compare means? (Continued) Example from Stone Creek, SD, re. hiring procedures  Sample 10 city bureaus  Average time to hire employee before and after new procedures (See page 204 for data)  Steps on page 204 (for test with independent samples & unequal variances)

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 6)  What other tests are used to compare means? (Continued) Example from Stone Creek, SD, re. hiring procedures  Steps on page 205 (for test with independent samples & equal variances)  How does this compare to the previous test?

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 7)  What other tests are used to compare means? (Continued) Example from Stone Creek, SD, re. hiring procedures  Steps on pages (for test with dependent samples)  How are data different?  Why are we doing test of paired samples? Solving for “d” (Difference of two items) Get mean and standard deviation of differences

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 8)  How is the t test used for two sample proportions? See example with Morgan City Parole Board (pages ) Conclusion?

Meier & Brudney: Chapter 14 Testing the Difference Between Two Groups (Page 9)  Problems: 14.6, 14.12