'Observed difference' diaporamas de présentation

Hypothesis Testing

Hypothesis Testing. Hypothesis. An educated opinion What you think will happen, based on previous research anecdotal evidence reading the literature. Body fat level of 8th graders. National Norm: Mean = 23%, SD = 7% postulated parameter ( ? and ? )

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Unit 2: Comparing Two Groups

Unit 2: Comparing Two Groups. In Unit 1, we learned the basic process of statistical inference using tests and confidence intervals. We did all this by focusing on a single proportion.

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Basic Statistics II

Basic Statistics II. Significance/hypothesis tests. RCT comparing drug A and drug B for the treatment of hypertension. 50 patients allocated to A 50 patients allocated to B Outcome = systolic BP at 3 months. Results. Group A Mean = 145, sd = 9.9 Group B Mean = 135, sd = 10.0.

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Independent t-tests

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Endoscopy

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Chapter 8

Chapter 8 . Hypothesis Testing: One Sample Cases . Outline:. The logic of hypothesis testing The Five-Step Model Hypothesis testing for single sample means (z test and t test) Testing sample proportions One- vs. Two- tailed tests. Significant Differences.

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HLTH 300 Biostatistics for Public Health Practice, Raul Cruz-Cano, Ph.D.

Fox/Levin/Forde, Elementary Statistics in Social Research, 12e. Chapter 7: Testing Differences between Means. HLTH 300 Biostatistics for Public Health Practice, Raul Cruz-Cano, Ph.D. 4/7/2014 , Spring 2014. Midterm Exam Results. Midterm Exam Morning Group Mean: 80.62

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Creating Randomization Distributions

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Topics 21 - 23

Topics 21 - 23. Topic 21 . Comparing Two Proportion. Topic 22. Comparing Two Means. Topic 22 - Confidence Interval: Comparing two Mean.

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Bios 101 Lecture 6: Test of Significance

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Nonparametric and Resampling Statistics

Nonparametric and Resampling Statistics. Wilcoxon Rank-Sum Test . To compare two independent samples Null is that the two populations are identical The test statistic is W s , Table of Critical Vals . For large samples, there is a normal approx. Is equivalent to the Mann-Whitney test.

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Chapter 8

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THE RISK OF RANDOM ERROR (PLAY OF CHANCE)

THE RISK OF RANDOM ERROR (PLAY OF CHANCE). Goran Poropat. Introduction. No physical quantity can be measured with perfect certainty All measurements are prone to errors. Experimental errors. Do not refer to mistakes, blunders, or miscalculations

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Type I and Type II Errors

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AP Statistics

AP Statistics. 5.2 Designing Experiments. Learning Objective:. Design a comparative experiment and a completely randomized experiment Understand the 3 principles of experimental design Understand cautions about experimentation. Definitions.

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Chapter 18

Chapter 18. Two-Sample Problems . Two-Sample Problems. The goal of inference is to compare the responses to two treatments or to compare the characteristics of two populations. We have a separate sample from each treatment or each population.

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Research Methods: Thinking critically with psychological science

Research Methods: Thinking critically with psychological science. Unit 2. The Need for Psychological Science. Why is the scientific approach better than intuition/common sense? Hindsight Bias (also known as I-knew-it-all-along phenomenon) Overconfidence

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Pooled Examples

Statistics . Pooled Examples. A survey of 430 randomly chosen adults found that 21% of the 222 men and 18% of the 208 women purchased books online.

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