Matched Pairs Designs (Ch. 7)

Slides:



Advertisements
Similar presentations
Topics
Advertisements

Statistics Review – Part II Topics: – Hypothesis Testing – Paired Tests – Tests of variability 1.
Section 9.3 Inferences About Two Means (Independent)
AP STATISTICS LESSON 11 – 1 (DAY 3) Matched Pairs t Procedures.
Stat 350 Lab Session GSI: Yizao Wang Section 016 Mon 2pm30-4pm MH 444-D Section 043 Wed 2pm30-4pm MH 444-B.
Chapter Goals After completing this chapter, you should be able to:
Business Statistics: A Decision-Making Approach, 6e © 2005 Prentice-Hall, Inc. Chap 9-1 Introduction to Statistics Chapter 10 Estimation and Hypothesis.
Statistical Analysis SC504/HS927 Spring Term 2008 Week 17 (25th January 2008): Analysing data.
A Decision-Making Approach
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 10-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
Independent Sample T-test Often used with experimental designs N subjects are randomly assigned to two groups (Control * Treatment). After treatment, the.
Stat 512 – Day 8 Tests of Significance (Ch. 6). Last Time Use random sampling to eliminate sampling errors Use caution to reduce nonsampling errors Use.
Chapter 11: Inference for Distributions
Statistical Inference Lab Three. Bernoulli to Normal Through Binomial One flip Fair coin Heads Tails Random Variable: k, # of heads p=0.5 1-p=0.5 For.
Stat 217 – Day 20 Comparing Two Proportions The judge asked the statistician if she promised to tell the truth, the whole truth, and nothing but the truth?
Ch 11 – Inference for Distributions YMS Inference for the Mean of a Population.
Section A Experiments.
1 Objective Compare of two matched-paired means using two samples from each population. Hypothesis Tests and Confidence Intervals of two dependent means.
Pengujian Hipotesis Dua Populasi By. Nurvita Arumsari, Ssi, MSi.
1 Psych 5500/6500 t Test for Two Independent Means Fall, 2008.
A Course In Business Statistics 4th © 2006 Prentice-Hall, Inc. Chap 9-1 A Course In Business Statistics 4 th Edition Chapter 9 Estimation and Hypothesis.
1 Chapter 9 Inferences from Two Samples 9.2 Inferences About Two Proportions 9.3 Inferences About Two Means (Independent) 9.4 Inferences About Two Means.
Nonparametric Statistics
AP Statistics Chapter 13 Notes. Two-sample problems The goal is to compare the responses of two treatments given to randomly assigned groups, or to compare.
Warm-up 9.3 and 9.4 C.I and Inference Test of Two Means
1 Objective Compare of two population variances using two samples from each population. Hypothesis Tests and Confidence Intervals of two variances use.
CONFIDENCE INTERVAL OF THE MEAN, INDEPENDENT-, AND PAIRED-SAMPLES T-TESTS.
Statistical planning and Sample size determination.
to accompany Introduction to Business Statistics
T tests comparing two means t tests comparing two means.
Paired Samples and Blocks
AP Statistics. Chap 13-1 Chapter 13 Estimation and Hypothesis Testing for Two Population Parameters.
Statistics: Unlocking the Power of Data Lock 5 Inference for Means STAT 250 Dr. Kari Lock Morgan Sections 6.4, 6.5, 6.6, 6.10, 6.11, 6.12, 6.13 t-distribution.
Lecture 22 Dustin Lueker.  Similar to testing one proportion  Hypotheses are set up like two sample mean test ◦ H 0 :p 1 -p 2 =0  Same as H 0 : p 1.
Matched Pairs t-test Module 22a. Matched Pairs t-test To this point we have only looked at tests for single samples. Soon we will look at confidence intervals.
Week 111 Review - Sum of Normal Random Variables The weighted sum of two independent normally distributed random variables has a normal distribution. Example.
Lecture 8 Estimation and Hypothesis Testing for Two Population Parameters.
HYPOTHESIS TESTING FOR DIFFERENCES BETWEEN MEANS AND BETWEEN PROPORTIONS.
AP Statistics Chapter 24 Notes “Comparing Two Sample Means”
Lesson Runs Test for Randomness. Objectives Perform a runs test for randomness Runs tests are used to test whether it is reasonable to conclude.
Independent Samples: Comparing Means Lecture 39 Section 11.4 Fri, Apr 1, 2005.
AP Statistics Chapter 25 Notes
Chapter 10 Two Sample Tests
Section 9.5 Day 3.
Estimation & Hypothesis Testing for Two Population Parameters
Simulation-Based Approach for Comparing Two Means
Qualitative data – tests of association
CJ 526 Statistical Analysis in Criminal Justice
Stat 217 – Day 3 More terminology….
Formation of relationships Matching Hypothesis
Two-sided p-values (1.4) and Theory-based approaches (1.5)
Lecture Slides Elementary Statistics Eleventh Edition
Elementary Statistics
Stat 217 – Day 28 Review Stat 217.
SMOKERS NONSMOKERS Sample 1, size n1 Sample 2, size n2
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Two Sample T-Tests AP Statistics.
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Tests About a Population Mean
TESTs about a population mean
Two-Sample Between-Subjects Experiments and Independent-Samples t-Tests So far, we’ve talked about experiments in which we needed to take only one sample.
Psych 231: Research Methods in Psychology
Warm Up One day Dr. Lutze decides he wants to randomly assign his first period students to 2 groups for an experiment on time management. In order to.
Day 63 Agenda:.
Reasoning in Psychology Using Statistics
AP Statistics Chapter 12 Notes.
Inferences from Matched Pairs
Presentation transcript:

Matched Pairs Designs (Ch. 7) Stat 217 – Day 26 Matched Pairs Designs (Ch. 7)

Last Time Be able to anticipate the strength of evidence against the null hypothesis based on characteristics of the data Sample sizes Observed difference Within group variability Know how these factors impact confidence interval calculations

Recap – Comparing Two Groups Ch. 5: Comparing Two Proportions Ch. 6: Comparing Two Means In both cases, had “independent samples” Separate samples from two populations (e.g., males and females) Randomized experiment (e.g., yawn seen and no yawn seed) Hypothetical but separate groups (Kristen Gilbert)

Do husbands tend to be older than wives? Descriptive Statistics Mean = 35.71 years SD = 14.56 years Mean = 33.83 years SD = 13.56 years

Can you swim as fast in syrup?

Matched Pairs Designs Control for “subject to subject” variability Some couples are younger, some older Some people run faster than others Some products cost more than others Instead of comparing apples to oranges, compare treatments within each obs. unit Expect the variability in the differences to be much smaller than the variability in the response Love to reduce variability! Easier to detect difference in the treatments

Paired data How create paired data? Why use paired data? Repeated measurements Before/after Everyone both treatments Two prices on same products Matching Match people of similar strength Why use paired data? How analyze paired data?

Data Collection Flip a coin Heads => Chocolate chip Tails => other chip Place the chip on your tongue and hold to the roof of your mouth Record the elapsed time once the chip has completely melted on its own Record on the form

Data Collection Will this study allow me to compare the difference in average melting time between peanut butter and chocolate chips? What are some reasons I may not find a statistically significant difference when I analyze the data? Anything I can do about that?

Data Collection Now take the other chip, same exact instructions as before Place the chip on your tongue and hold to the roof of your mouth Record the elapsed time once the chip has completely melted on its own Record on the form

To Do Finish Lab 5 Read through Section 7.2 Lab 6 pre-lab