This is the only stats test that you could be asked to carry out!

Slides:



Advertisements
Similar presentations
RISKY SHIFT: LAB REPORT WRITE-UP Week 7 Practical.
Advertisements

Statistics. Hypothesis Testing Hypothesis is a ‘testable statement’ Types = alternate, research, experimental (H1), null (H0) They are 1 or 2 tailed (directional.
2013/12/10.  The Kendall’s tau correlation is another non- parametric correlation coefficient  Let x 1, …, x n be a sample for random variable x and.
© 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.
Objective: To test claims about inferences for two sample means from matched-pair tests or blocked samples, under specific conditions.
CHI-SQUARE TEST OF INDEPENDENCE
Chapter 14 Conducting & Reading Research Baumgartner et al Chapter 14 Inferential Data Analysis.
DEPENDENT SAMPLES t-TEST What is the Purpose?What Are the Assumptions?How Does it Work?
Data measurement, probability and statistical tests
STATISTICS. DESCRIPTIVE STATISTICS INFERENTIAL STATISTICS.
Introduction to A2 research methods: We will look at the following concepts in a nut shell: Inferential tests & Significance Null hypothesis.
On your white boards… Write an example of Nominal data… Write an example of Ordinal data… Write an example of Interval/ratio data…
The Hypothesis of Difference Chapter 10. Sampling Distribution of Differences Use a Sampling Distribution of Differences when we want to examine a hypothesis.
Example 8.1.1: Paired Design Doctors studying healthy subjects measured myocardial blood flow (MBF) during bicycle exercise before and after giving the.
Lesson Inferences about the Differences between Two Medians: Dependent Samples.
Ordinally Scale Variables
INFERENTIAL STATISTICS 1.Level of data 2.Tests 3.Levels of significance 4.Type 1 & Type 2 Error.
Summarizing the Relationship Between Two Variables with Tables and a bit of a review Chapters 6 and 7 Jan 31 and Feb 1, 2012.
SCIENTIFIC METHOD CA STATE STANDARD 8.
Medical Statistics (full English class) Ji-Qian Fang School of Public Health Sun Yat-Sen University.
T Test for Two Related Samples (Repeated Measures)
Doing Science: Texting and Gender Experiment. Group Roles for Conducting Experiment (In some groups, individuals may perform more than one role) Recorders.
STATISTICS. DESCRIPTIVE STATISTICS Quick Re-Cap From Last Year What do they tell us? What are the ways you can describe your data? What are the ways you.
Statistics Statistics Data measurement, probability and statistical tests.
Chapter 13 Understanding research results: statistical inference.
Related Sample t-test A related sample t-test is used when participants in the two groups are not independent of participants in the other groups. – Repeated.
Extension: How could researchers use a more powerful measure of analysis? Why do you think that researchers do not just rely on descriptive statistics.
Algebra 2 June 18, 2016 Goals:   Identify functions in coordinate, table, or graph form   Determine domain and range of given functions.
Lesson 5 DATA ANALYSIS. Am I using and independent groups design or repeated measures? Independent groups Mann- Whitney U test Repeated measures Wilcoxon.
Features of science revision
Data measurement, probability and Spearman’s Rho
Learning Objectives: 1. Understand the use of significance levels. 2
What do you need to know? Introduction to the use of inferential statistics: the Sign Test What inferential tests allow us to do (that descriptive stats.
Inferential Statistics
Section 9.5 Day 3.
Factors Affecting Choice of Statistical Test
Inferential Statistics
Data analysis Research methods.
RM revision 2015 paper.
Wilcoxon Matched Pairs Signed Ranks test
Scientific Method The scientific method is a guide to problem solving. It involves asking questions, making observations, and trying to figure out things.
Learning Aims By the end of this session you are going to totally ‘get’ levels of significance and why we do statistical tests!
Data measurement, probability and statistical tests
Inferential Statistics
Spearman’s rho Chi-square (χ2)
Inferential Statistics
Inferential Statistics
Lesson Inferences about the Differences between Two Medians: Dependent Samples.
Inferential statistics,
Inferential Statistics
Parametric and non parametric tests
Sign test/forensic mini mock
Formation of relationships Matching Hypothesis
Topic 4: Learning Approach (Behaviourism)
SMOKERS NONSMOKERS Sample 1, size n1 Sample 2, size n2
WHAT IS THE SCIENTIFIC METHOD?
Starter: Descriptive Statistics
1.3 Data Recording, Analysis and Presentation
Psychology Life Hack of the Week
Scientific Method.
Significant Digits.

Data measurement, probability and statistical tests
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.
6.1 Psychology Research methods.
Scientific Method (AKA Scientific Problem Solving)
Doing t-tests by hand.
AP Statistics Chapter 12 Notes.
The Wilcoxon signed rank test
Inferential testing.
Presentation transcript:

This is the only stats test that you could be asked to carry out! The Sign Test This is the only stats test that you could be asked to carry out!

Performing the sign test Use the handout provided to have a go at analysing a set of data using the sign test. The sign test is only used when a repeated measures (or matched pairs design) is used and you have nominal data.

Checking If your result is significant Check to see whether your observed value is significant or not. Use a significance table for the specific test you are using to find the critical value. To do this you need to know: N (number of participants you used*) P value (usually 5%) Directional or non-directional hypothesis Finally, compare the observed value to the critical (table) value. If the observed value is smaller than the critical (table value), your results are significant.