STATISTICS. DESCRIPTIVE STATISTICS INFERENTIAL STATISTICS.

Slides:

Advertisements

Similar presentations

Statistics. Hypothesis Testing Hypothesis is a ‘testable statement’ Types = alternate, research, experimental (H1), null (H0) They are 1 or 2 tailed (directional.

Advertisements

CHAPTER TWELVE ANALYSING DATA I: QUANTITATIVE DATA ANALYSIS.

1 Chapter 20: Statistical Tests for Ordinal Data.

Nonparametric Techniques CJ 526 Statistical Analysis in Criminal Justice.

Chapter 14 Conducting & Reading Research Baumgartner et al Chapter 14 Inferential Data Analysis.

Statistics 07 Nonparametric Hypothesis Testing. Parametric testing such as Z test, t test and F test is suitable for the test of range variables or ratio.

Data measurement, probability and statistical tests

HL Psychology Internal Assessment

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…

Inferential Stats, Discussions and Abstracts!! BATs Identify which inferential test to use for your experiment Use the inferential test to decide if your.

A Repertoire of Hypothesis Tests  z-test – for use with normal distributions and large samples.  t-test – for use with small samples and when the pop.

Chapter 14 Nonparametric Tests Part III: Additional Hypothesis Tests Renee R. Ha, Ph.D. James C. Ha, Ph.D Integrative Statistics for the Social & Behavioral.

Which Statistical Test to Select?. Choosing a statistical test Instructions You will need to click the mouse to progress through this presentation You.

INFERENTIAL STATISTICS 1.Level of data 2.Tests 3.Levels of significance 4.Type 1 & Type 2 Error.

Inferential Statistics. The Logic of Inferential Statistics Makes inferences about a population from a sample Makes inferences about a population from.

Testing Your Hypothesis In your previous assignments you were supposed to develop two hypotheses that examine a relationship between two variables. For.

Angela Hebel Department of Natural Sciences

PSYCHOLOGY IA THE RESULTS. RATIONALE/PURPOSE The results section is where you report the results that you have found from your experiment. The results.

Research Methods Exam Qs & Mark Scheme Booklet FIND THE JUNE 2011 QS: READ THROUGH THEM HIGHLIGHT THE KEY PARTS OF THEM MARK SCHEME E.G. EXAMPLES ON EACH.

HL Psychology Internal Assessment

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.

Chapter Fifteen Chi-Square and Other Nonparametric Procedures.

Internal assessment, Results, Discussion, and Format By Mr Daniel Hansson.

Nonparametric Tests with Ordinal Data Chapter 18.

Statistics Statistics Data measurement, probability and statistical tests.

Chapter 13 Understanding research results: statistical inference.

Nonparametric statistics. Four levels of measurement Nominal Ordinal Interval Ratio  Nominal: the lowest level  Ordinal  Interval  Ratio: the highest.

Inferential Statistics Assoc. Prof. Dr. Şehnaz Şahinkarakaş.

Lesson 5 DATA ANALYSIS. Am I using and independent groups design or repeated measures? Independent groups Mann- Whitney U test Repeated measures Wilcoxon.

S TATISTICAL T ESTS By Madeleine Martin. S PEARMAN ’ S R HO This test is used when looking at a correlation When working out the significance of a correlation,

Research methods. Recap: last session 1.Outline the difference between descriptive statistics and inferential statistics? 2.The null hypothesis predicts.

Cross Tabulation with Chi Square

Data measurement, probability and Spearman’s Rho

Spearman’s Rho Correlation

Learning Objectives: 1. Understand the use of significance levels. 2

Inferential Statistics

Factors Affecting Choice of Statistical Test

Inferential Statistics

Data analysis Research methods.

Wilcoxon Matched Pairs Signed Ranks test

Data Analysis and Interpretation

Spearman’s Rank Correlation Test

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

Which type of inferential test should be used?

Inferential Statistics

Spearman’s rho Chi-square (χ2)

Happy new year Welcome back.

Inferential Statistics

Inferential Statistics

Inferential statistics,

Georgi Iskrov, MBA, MPH, PhD Department of Social Medicine

Inferential Statistics

Parametric and non parametric tests

Formation of relationships Matching Hypothesis

Starter: Descriptive Statistics

1.3 Data Recording, Analysis and Presentation

Writing the IA Report: Analysis and Evaluation

Non – Parametric Test Dr. Anshul Singh Thapa.

Data measurement, probability and statistical tests

The Wilcoxon signed rank test

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

Research Methods: Data analysis and reporting investigations.

Graphs and Chi Square.

Inferential Statistical Tests

InferentIal StatIstIcs

Inferential testing.

Descriptive statistics Pearson’s correlation

PSYCHOLOGY AND STATISTICS

Presentation transcript:

STATISTICS

DESCRIPTIVE STATISTICS

INFERENTIAL STATISTICS

What You Need to Know for The Exam…. You will not have to conduct these tests in an exam(cue… sigh of relief) However you will have to; Know the purpose of using Inferential Statistics. Know what test you would use and why. Whether or not the results are significant?

Why are they used? 1)Statistical tests are used by Psychologists(and maths boffins) to prove or disprove a Hypothesis. 2) Statistical tests are used to determine whether data shows significance(if there is a relation or effect in the experiment). 3) Statistical tests see if the NULL Hypothesis is true(that results are due to chance/random). So the test is there to find out if the result was found by chance. 4) Which test you use depends on the data you have!

Choosing the Correct Statistical Test To decide what test you will use you need the following information: Difference/Correlation/Association: (This you will gather from the information given in the statement provided to you on the test. Type of Participant Design: Independent Measures, Matched Pairs, Repeated Measures Type of Data: NOIR They may refer to the terms parametric and non parametric on your exam.

When Testing for a Difference/Association When Testing for a Correlation Data TypeIndependent Measures Repeated Measures Design/Matched Pairs Matched Pairs NominalChi-squared ( x ²) Association Nominal ___ Ordinal or Interval Mann Whitney U test U Difference Ordinal Wilcoxon Test T Difference Ordinal/Interval Sign Test S Difference Ordinal Repeated Measures __ Spearman’s Rank Rho Correlation Ordinal/Interval

Time for the Tough Bit! Spearman Observed value of Rho Wilcox Observed Value T Mann-Whitney Observed Value or U Chi ² Observed Value of x ² Sign Test Observed Value of S The Observed Value refers to the statistical calculation that you carry out (this will always be given to you on the exam). The Critical Value is found on the critical tables, which you may need to work out on the exam using the critical value tables.

V. Whether or not the results are significant? Spearman’s rho Chi square Mann Whitney U Wilcoxon T Sign Test rho≥C x²≥C U ≤ C T ≤ C S ≤ C

Errors A type 1 error is rejecting the null hypothesis when it should be accepted. A type 2 error is accepting the null hypothesis when it should be rejected.