'Significant result' diaporamas de présentation

Recent Development of ASEAN's Economic Relationship with China and India

Recent Development of ASEAN's Economic Relationship with China and India . By: Hendri Saparini, Ph.D Managing Director ECONIT Advisory Group saparini@econit.co.id IDEAs Workshop New Delhi, 5-6 November 2009. Presentation Outline.

1.23k views • 52 slides

Recent Development of ASEAN's Economic Relationship with China and India

Recent Development of ASEAN's Economic Relationship with China and India . By: Hendri Saparini, Ph.D Managing Director ECONIT Advisory Group saparini@econit.co.id IDEAs Workshop New Delhi, 5-6 November 2009. Presentation Outline.

955 views • 52 slides

Recent Development of ASEAN's Economic Relationship with China and India

Recent Development of ASEAN's Economic Relationship with China and India . By: Hendri Saparini, Ph.D Managing Director ECONIT Advisory Group saparini@econit.co.id IDEAs Workshop New Delhi, 5-6 November 2009. Presentation Outline.

635 views • 52 slides

Chi-square Test of Independence

Chi-square Test of Independence. Reviewing the Concept of Independence Steps in Testing Chi-square Test of Independence Hypotheses Chi-square Test of Independence in SPSS. Chi-square Test of Independence.

1.94k views • 40 slides

HYPOTHESIS TESTING: ABOUT MORE THAN TWO (K) INDEPENDENT POPULATIONS

HYPOTHESIS TESTING: ABOUT MORE THAN TWO (K) INDEPENDENT POPULATIONS. ONE-WAY AN ALYSIS O F VA RIANCE ( ANOVA ). Analysis of variance is used for two different purposes: To estimate and test hypotheses about population variances To estimate and test hypotheses about population means.

446 views • 33 slides

P Values

P Values. Robin Beaumont 10/10/2011 With much help from Professor Chris Wilds material University of Auckland. Where do they fit in!. sampling. Putting it all together. P Value. probability. statistic. Rule. Populations and samples. Ever constant at least for your study!.

456 views • 33 slides

Psychology as a Science

Psychology as a Science. In this lecture we will discuss: science - a method for understanding limits of common sense methods of science description correlation experimentation evaluating data with statistics sources of error and bias in research. Science vs. Common Sense.

491 views • 31 slides

Purpose of this presentation

406 views • 31 slides

9 - 1

9 - 1. Business Communication: Process and Product , Mary Ellen Guffey, South-Western. Applying the 3-x-3 Writing Process. Analyzing purpose What do you want the receiver to do or think? Anticipating reaction Does the receiver need to be persuaded? Adapting to the audience

461 views • 30 slides

Romina Jamieson-Proctor - USQ Glenn Finger - GU Peter Albion - USQ

Auditing the TPACK Capabilities of Final Year Teacher Education Students: Are they ready for the 21 st century?. Romina Jamieson-Proctor - USQ Glenn Finger - GU Peter Albion - USQ. Australian Government commitment to ICT in education.

374 views • 29 slides

Confidence intervals

Confidence intervals. Kristin Tolksdorf (based on previous EPIET material) 18 th EPIET /EUPHEM Introductory course 01 . 10 .201 2. Inferential statistics. Uses patterns in the sample data to draw inferences about the population represented, accounting for randomness .

435 views • 28 slides

Systematic Reviews.

Systematic Reviews. Reviews. Reviews (or overviews) are a drawing together of material to make a case. These may, or may not, be critical and can be used to support one side of an argument as opposed to a critical evaluation of both sides of the argument. Systematic review.

467 views • 26 slides

Effect Sizes and Power Review

Effect Sizes and Power Review. Statistical Power. Statistical power refers to the probability of finding a particular sized effect Specifically, it is 1- type II error rate Probability of rejecting the null hypothesis if it is false

261 views • 25 slides

285 views • 23 slides

Chapter Nine

Chapter Nine. Probability, the Normal Curve, and Sampling. PowerPoint Presentation created by Dr. Susan R. Burns Morningside College . The Nature and Logic of Probability.

384 views • 21 slides

Overview of lecture

Overview of lecture. What is a mixed (or split plot) design Partitioning the variability Pre-analysis checks Example ANOVA Reporting the Results Summary of ANOVA. Mixed or Split Plot Designs. When there is more than one factor, we can have a mixed (or split plot) design:

377 views • 21 slides

Multiplicity in Clinical Trials

Multiplicity in Clinical Trials. Ziad Taib Biostatistics AstraZeneca March 12, 2012. Issues. The multiplicity problem Sources of multiplicity in clinical trials Bonferroni Holm Hochberg Closed test procedures FDR (Benjamini-Hochberg). The multiplicity problem.

687 views • 19 slides

One-way ANOVA: - Comparing the means

361 views • 16 slides

VARIATION IN CHILD FIRST LANGUAGE ACQUISITION

VARIATION IN CHILD FIRST LANGUAGE ACQUISITION. The issue of variation in FLA and SLA/SLL. Variables influence IN SLL/SLA rate final attainment IN FLA rate. Variables in FLA. Effect of situation Inherited attributes Gender Intelligence Personality and learning style

316 views • 16 slides

Type I error (alpha error)

465 views • 4 slides