'Unequal sample sizes' diaporamas de présentation

Analysis of Variance

Analysis of Variance. Review and Preview One-Way ANOVA Two-Way ANOVA. Overview and One-Way ANOVA. Key Concept. This section introduces the method of one-way analysis of variance , which is used for tests of hypotheses that three or more population means are all equal. Overview.

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One-way Between Groups Analysis of Variance

One-way Between Groups Analysis of Variance. ?320 Ainsworth. Major Points. Problem with t-tests and multiple groups The logic behind ANOVA Calculations Multiple comparisons Assumptions of analysis of variance Effect Size for ANOVA. T-test.

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Inferential Statistics & Correlational Research

Inferential Statistics & Correlational Research. Days 5 & 6. For Monday. Submit first draft of your literature review (Chapter 2). It should read like one document rather than a series of abstracts. Use transition sentences. Group studies into a logical order.

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Design and Analysis of Cluster Randomized and Interrupted Time Series Designs

Design and Analysis of Cluster Randomized and Interrupted Time Series Designs. Charles E. McCulloch Division of Biostatistics. KL2 11am seminar, Nov 18, 2011. Outline. Introduction Examples Design and analysis issues Cluster randomized trials (CRTs) Statistical analysis of CRTs

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Practical Problems

Practical Problems. Week 6 Lecture H615 - Advanced Evaluation & Research Design By : Krissi Hewitt and Tassnym Sinky. The Ethics of Experimentation. Assign groups of 4-5 for activity: Ethical Codes Informed Consent IRBs Legal Issues. Ethics of Experimentation in Practice.

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Analysis of SAGE Data: An Introduction

Analysis of SAGE Data: An Introduction. Kevin R. Coombes Section of Bioinformatics. Outline. Description of SAGE method Preliminary bioinformatics issues Description of analysis methods introduced in early paper Review of literature: statistics and SAGE. What is SAGE?.

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The Robust Approach

The Robust Approach. Dealing with real data. Estimating Population Parameters. Four properties are considered desirable in a population estimator: Sufficiency Unbiasedness Efficiency Resistance. Sampling Distribution.

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One-sample

One-sample. In the previous cases we had one sample and were comparing its mean to a hypothesized population mean However in many situations we will use the t-test to compare two samples/groups of data. Two samples. Previously compared sample mean to a known population mean

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Analysis of Variance (ANOVA)

Analysis of Variance (ANOVA). The F distribution Good for two or more groups. The F distribution. F is a ratio of two independent estimates of the variance of the population Consequently, it depends on the analysis (separating into parts) of the variance in a set of scores.

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Initial Data Analysis

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Lisa J. Goodnight, Ph.D. Ralph V. Rogers, Ph.D. Purdue University Calumet Hammond, IN

A New Model for Faculty Collaboration: Ensuring Rigorous Curriculum and Assessment in Dual Credit Courses. Lisa J. Goodnight, Ph.D. Ralph V. Rogers, Ph.D. Purdue University Calumet Hammond, IN. A Call to Action by the State of Indiana: Assessable, Affordable, Accountable.

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Review

Review. The walking speed of millipedes can be predicted by: Y = speed in mph X 1 = length in inches X 2 = age in years X 3 = number of legs What is the predicted speed of a 3-year-old, 2-inch millipede with 140 legs? 8 mph 13 mph 15 mph 18 mph. Review.

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PSYC512: Research Methods Lecture 19

PSYC512: Research Methods Lecture 19. Brian P. Dyre University of Idaho. Lecture 19 Outline. Inferential Statistics Testing for differences vs. relationships Analyzing frequencies Analyzing differences between means. Using Inferential Statistics. Which Statistic?

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Decreased Rate of Coronary Restenosis After Lowering of Plasma Homocystine Levels

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