Content 01 What are Non-parametric Tests? 02 Types of Non-parametric Tests 03 Worked Examples Non-parametric Tests? - While most common statistical analyses (e.g., t-tests, ANOVA) are parametric, they need to fulfil a number of criteria before we use them - These criteria include satisfying the assumptions of outliers, linearity ...
Parametric Tests Based on distributions Parameters are used (mean and standard deviations) T-test ANOVA etc. Aim of Non Parametric Tests Nonparametric, or distribution free tests are so-called because the assumptions underlying their use are “fewer and weaker than those associated with parametric tests” (Siegel & Castellan, 1988, p ...
Chi-Square Test of Independence 2) Karl Pearson introduced Chi-Square (X which is a statistical test used to determine whether your experimentally observed results are consistent with your hypothesis. Test statistics measure the agreement between actual counts and expected counts assuming the null hypothesis. It is a non-parametric test. The chi-square ...
Why Statistical Significance Test • Suppose we have developed an EC algorithm A • We want to compare with another EC algorithm B • Both algorithms are stochastic • How can we be sure that A is better than B? • Assume we run A and B once, and get ...
HYPOTHESIS TESTS SO FAR • We’ve discussed • One-sample t-test • Dependent Sample t-tests • Independent Samples t-tests • One-Way Between Groups ANOVA • Factorial Between Groups ANOVA • One-Way Repeated Measures ANOVA • Correlation • Linear Regression • What do all of these tests have in common? PARAMETRIC ...
COMPARISON ANALYSIS Training Objectives • Mengetahui dan dapat melakukan analisa perbandingan (Parametric / Non Parametric) nd Ch. 14 : Business Statistics 2 Ed, Sharpe, 2012 Ch. 10 : Business Statistics, Groebner, 2011 Independent Sample Test • Varians kedua populasi diketahui. • Varians kedua populasi tidak diketahui. Paired Sample Test (1) ...
Hypothesis Tests Parametric Tests - tests about specific 2 population parameters (μ, σ , etc.) –Is μ different from a predetermined 1 value? –Is μ different from μ ? 1 2 Non-Parametric Tests - tests about the shape of the population (medians?) –Is this population different from ...
Statistics is used to: • Describe data – descriptive statistics • Compare study groups • Search for any correlation between variables • Search for a regression between variables in order to extrapolate the dependent variable if independent variable(s) is(are) known • Analyze health outcomes 2 Overview of Presentation Which test ...
Dependent Variable Metric Non-Metric • Discriminant Independent Metric Regression Analysis Variable(s) •Binary/Logistic regression Non-Metric Hypothesis Chi-square Test testing • If the independent variable (which is non- metric) has two categories, we will use t-test • And if the independent variable has more than two categories we will use F-test ...
Outline • Statistical inference • Hypothesis testing • Type I and type II errors • Student t test • ANOVA • Parametric vs non-parametric tests Importance of biostatistics • Diabetes type 2 study – Experimental group: Mean blood sugar level: 103 mg/dl – Control group: Mean blood sugar level: 107 ...
Overview • Regression Analysis: –Mediation –Moderation • Non-parametric tests –When? Why? How? Example 1 Bumble wants to know whether the relationship between children’s negative affect and self esteem can be explained by children’s bad behavior. Unfortunately, he had to take another vacation to Hawaii, so ...
Meet the Instructors CYNTHIA GARVAN, MA, PHD TERRIE VASILOPOULOS, PHD Research Assistant Professor in Anesthesiology Research Professor in Anesthesiology and Orthopaedics and Rehabilitation Course Objectives Review fundamentals of study design and research methodology Understand how to choose best statistical test for your research question Practice basic statistical analysis use JMP ...
Meet the Instructors CYNTHIA GARVAN, MA, PHD TERRIE VASILOPOULOS, PHD Research Assistant Professor in Anesthesiology Research Professor in Anesthesiology and Orthopaedics and Rehabilitation Course Objectives Review fundamentals of study design and research methodology Understand how to choose best statistical test for your research question Practice basic statistical analysis use JMP ...
Program This course will be dived into 3 parts: • Part 1 Descriptive statistics and introduction to continuous outcome variables • Part 2 Continuous outcome variables (t-test, non-parametric tests, linear regression). • Part 3 Binary outcome variables (RR, OR, χ2 test, logistic regression) 2 The course dataset • We ...
Educational Statistics: Very Brief History • Chevalier de Mre’s gambling problems and Blaise Pascal’s solutions (mid-1600s). • Abraham de Moivre’s publication (in English) of his Doctrine of Chance in mid 1700s. • William Sealy Gossett’s development of the formula, in the early 1900s, for the standard ...
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