12.3 Notes Spearman Rank Correlation Tests. Spearman Rank Correlaiton Test – Used to determine if a monotone relation exists between two variables (as.

Slides:



Advertisements
Similar presentations
Chapter 15 Comparing Two Populations: Dependent samples.
Advertisements

Stats 2020 Tutorial. Chi-Square Goodness of Fit Steps Age < 20Age 20-29Age ≥ fofo pepe fefe What we know: n = 300, α =.05 and...
INTRODUCTORY STATISTICS FOR CRIMINAL JUSTICE
McGraw-Hill/Irwin Copyright © 2007 by The McGraw-Hill Companies, Inc. All rights reserved. Nonparametric Methods Chapter 15.
Welcome to the World of Investigative Tasks
Lesson Inferences Between Two Variables. Objectives Perform Spearman’s rank-correlation test.
Topic 6: Introduction to Hypothesis Testing
Elementary Statistics Larson Farber 9 Correlation and Regression.
© 2001 Prentice-Hall, Inc.Chap 9-1 BA 201 Lecture 15 Test for Population Mean Known.
Kruskal Wallis H test Use when a nonparametric test is needed. When you have one variable but more than two groups. Equivalent to a one way ANOVA.
Chapter Seven The Correlation Coefficient. Copyright © Houghton Mifflin Company. All rights reserved.Chapter More Statistical Notation Correlational.
The Analysis of Variance
Statistics 03 Hypothesis Testing ( 假设检验 ). When we have two sets of data and we want to know whether there is any statistically significant difference.
Spearman Rho Correlation
Chapter 14 in 1e Ch. 12 in 2/3 Can. Ed. Association Between Variables Measured at the Ordinal Level Using the Statistic Gamma and Conducting a Z-test for.
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
Week 12 Chapter 13 – Association between variables measured at the ordinal level & Chapter 14: Association Between Variables Measured at the Interval-Ratio.
Copyright © 2012 by Nelson Education Limited. Chapter 9 Hypothesis Testing III: The Analysis of Variance 9-1.
11 Chapter Nonparametric Tests © 2012 Pearson Education, Inc.
Inference for Distributions
Statistical Analysis to show Relationship Strength.
Copyright © 2010, 2007, 2004 Pearson Education, Inc Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Correlation.
Chapter 4 Correlation and Regression Understanding Basic Statistics Fifth Edition By Brase and Brase Prepared by Jon Booze.
14 Elements of Nonparametric Statistics
Individual values of X Frequency How many individuals   Distribution of a population.
CHAPTER 14: Nonparametric Methods to accompany Introduction to Business Statistics seventh edition, by Ronald M. Weiers Presentation by Priscilla Chaffe-Stengel.
Hypothesis of Association: Correlation
Live your life. Create your destiny. Does classroom management Play a role in student progress? Ina Louw
The Practice of Statistics Third Edition Chapter 13: Comparing Two Population Parameters Copyright © 2008 by W. H. Freeman & Company Daniel S. Yates.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Understandable Statistics S eventh Edition By Brase and Brase Prepared by: Lynn Smith.
Chapter 5 Section 1 – Part 2. Samples: Good & Bad What makes a sample bad? What type of “bad” sampling did we discuss previously?
Copyright © Cengage Learning. All rights reserved. 14 Elements of Nonparametric Statistics.
Section 10.2 Hypothesis Testing for Means (Small Samples) HAWKES LEARNING SYSTEMS math courseware specialists Copyright © 2008 by Hawkes Learning Systems/Quant.
Statistics for Psychology CHAPTER SIXTH EDITION Statistics for Psychology, Sixth Edition Arthur Aron | Elliot J. Coups | Elaine N. Aron Copyright © 2013.
Copyright (C) 2002 Houghton Mifflin Company. All rights reserved. 1 Understandable Statistics S eventh Edition By Brase and Brase Prepared by: Lynn Smith.
Copyright © Cengage Learning. All rights reserved. 13 Linear Correlation and Regression Analysis.
Reasoning in Psychology Using Statistics
Describing Relationships Using Correlations. 2 More Statistical Notation Correlational analysis requires scores from two variables. X stands for the scores.
1 Regression & Correlation (1) 1.A relationship between 2 variables X and Y 2.The relationship seen as a straight line 3.Two problems 4.How can we tell.
Statistics Group 1 Elisabeth Brino Jamie Derbidge Slade Litten Kristen Kidder Jamie.
Ch. 10 Correlation and Regression 10-3 Notes Inferences for Correlation and Regression.
Practice Does drinking milkshakes affect (alpha =.05) your weight? To see if milkshakes affect a persons weight you collected data from 5 sets of twins.
D OES PLAYING SPORTS AFFECT SCHOOL MARKS ? Arun Jha and Sagar Badve Year 10 Perth Modern School.
Nonparametric Methods: Analysis of Ranked Data
Nonparametric tests: Tests without population parameters (means and standard deviations)
© 2011 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part, except for use as permitted in a license.
The Process The Results The Repository of Assessment Documents (ROAD) Project Sample Characteristics (“All” refers to all students enrolled in ENGL 1551)
Copyright © Cengage Learning. All rights reserved. Hypothesis Testing 9.
Spearman Rho Correlation
Scatter Plots and Correlation
Spearman’s Rho Correlation
Hypothesis Testing for Means (Small Samples)
Chapter 25: Paired t-Test
Testing Hypotheses about a Population Proportion
Hypothesis testing March 20, 2000.
Types of T-tests Independent T-tests Paired or correlated t-tests
Spearman’s Rank Correlation Test
Chapter 14 in 1e Ch. 12 in 2/3 Can. Ed.
Spearman’s rho Chi-square (χ2)
Spearman Rho Correlation
Statistical Inference for Managers
Day 47 – Cause and Effect.
NONPARAMETRIC METHODS
A paired-samples t-test compares the means of two related sets of data to see if they differ statistically. IQ Example We may want to compare the IQ scores.
Inferences Between Two Variables
Regression & Correlation (1)
Nonparametric Statistics
Spearman’s Rank Correlation Coefficient
Section 12.1: Significance Tests in Practice
Presentation transcript:

12.3 Notes Spearman Rank Correlation Tests

Spearman Rank Correlaiton Test – Used to determine if a monotone relation exists between two variables (as one increases the other increases - monotone increasing or as one increases the other decreases – monotone decreasing). Process 1.Establish H 0 and H 1. H0:H0: H1:H1: 2.Draw critical region and find the critical value using table 9 where n = number of pairs of data 3.Compute the sample statistic: where 4.Draw the conclusion.

Ex. 1 Hendricks College has a new faculty position. The faculty reserves the right to make the final hiring decision, however, they are interested in comparing faculty opinion with student opinion about the teaching ability of the candidates. A random sample of nine qualified candidates was asked to give a classroom presentation to a large class of students. Both faculty and students attended the lectures. At the end of each lecture, both faculty and students filled out a questionnaire about the teaching performance of the candidate. Based on these questionnaires, each candidate was given an overall rank from both the faculty and the students. The results are below. Higher ranks mean better performance. Candidate Faculty Rank Student Rank

Day 1 Assignment P. 687 #1-5

Ex. 2 Do people who drink more coffee tend to smoke more cigarettes? Test at 0.01 level of significance. Person Cigarettes per day Cups of Coffee per day Person Cigarettes Rank Coffee Rank Note: For cigarettes the three values of 15 comprise the rank of 3,4, and 5; therefore each receives the average of the ranks (4). For coffee the two values of 18 comprise the rank of 9 and 10; therefore each receives the average of the ranks (9.5).

Day 2 Assignment P. 688 #6-10