'Type ii error' diaporamas de présentation

Power in QTL linkage analysis

Power in QTL linkage analysis. Shaun Purcell & Pak Sham SGDP, IoP, London, UK. F:pshaunpower.ppt. YES. NO. Test statistic. Power primer. Statistics (e.g. chi-squared, z-score) are continuous measures of support for a certain hypothesis. YES OR NO decision-making : significance testing.

829 views • 71 slides

Sample size determination

Sample size determination. Nick Barrowman, PhD Senior Statistician Clinical Research Unit, CHEO Research Institute March 29, 2010. Outline. Example: lowering blood pressure Introduction to some statistical issues in sample size determination Two simple approximate formulas

1.37k views • 45 slides

Chapter 5

Chapter 5. Inferences Regarding Population Central Values. Inferential Methods for Parameters. Parameter : Numeric Description of a Population Statistic : Numeric Description of a Sample Statistical Inference : Use of observed statistics to make statements regarding parameters

555 views • 45 slides

537 views • 44 slides

Statistical Significance

609 views • 41 slides

Hypothesis Tests for Means

547 views • 37 slides

Let's Play...

Let's Play. "Who Wants To Be An EPPP Millionaire?". $ 1 Million $ 500,000 $ 250,000 $ 125,000 $ 64,000 $ 32,000 $ 16,000 $ 8,000 $ 4,000 $ 2,000 $ 1,000 $ 500 $ 200 $ 100. EPPP Millionaire. 50:50. Sorry, that is not correct. Thank you for playing. Press ESC.

423 views • 36 slides

AP Stat Essential Stuff

AP Stat Essential Stuff. Final Review Before AP Exam May 2007. Boxplots and Calculating Outliers. 8, 10, 18, 18, 19, 19, 19, 24, 32, 45 Median: Q1: Q3: Outliers?. Commenting on Distributions:. Linear Regression.

423 views • 35 slides

Chapter 21: More About Test & Intervals

Chapter 21: More About Test & Intervals. Unit 5. AP Statistics. Zero In on the Null. Null hypotheses have special requirements. To perform a hypothesis test, the null must be a statement about the value of a parameter for a model.

542 views • 32 slides

OKU 9 Chapter 15: ORTHOPAEDIC RESEARCH

444 views • 31 slides

Financial Perspectives on Corporate Bankruptcy

Financial Perspectives on Corporate Bankruptcy. Professor Larry Weiss. McDonough School of Business Georgetown University. October 30, 2007 San Francisco. Council Member Biography.

394 views • 29 slides

Evaluating the Validity of State Accountability Systems: Examples of Evaluation Studies

Evaluating the Validity of State Accountability Systems: Examples of Evaluation Studies. Scott Marion Center for Assessment Presented at AERA, Division H #49.040 San Diego, CA April 15, 2004. A Working Definition.

377 views • 26 slides

Review

Review. You run a t-test and get a result of t = 0.5. What is your conclusion? Reject the null hypothesis because t is bigger than expected by chance Reject the null hypothesis because t is smaller than expected by chance

308 views • 20 slides

Type I and II Errors

Type I and II Errors. JV lecture chapter 21 What is a type I and II error. The Innocent. The Guilty. Beyond doubt. Type II error Guilty go Free. Type I error Innocent Punished. Appearance of Guilt. Status quo. Sample. Alpha level. Appearance of error. Status quo. Sample.

400 views • 20 slides

CHAPTER 9 Testing a Claim

CHAPTER 9 Testing a Claim. 9.2 Tests About a Population Proportion. Tests About a Population Proportion. STATE and CHECK the Random, 10%, and Large Counts conditions for performing a significance test about a population proportion. PERFORM a significance test about a population proportion.

639 views • 18 slides

Unlocking the Mysteries of Hypothesis Testing

306 views • 15 slides

By Daniel Park and Zach Ney

Significance Tests. By Daniel Park and Zach Ney. Logic of significance testing. Significance tests are a procedure for comparing observed data with a claim/hypothesis. Null hypothesis is the hypothesis that there is no difference in probability between the observed and expected values.

230 views • 12 slides

Quiz 7

Quiz 7. Hypothesis testing of single samples z -test and t -test. 1. Which of the following pair of statistical hypotheses is NOT valid?. a) H 0 : ? = 82 kg H 1 : ? ? 82 kg b) H 0 : ? ? 82 kg H 1 : ? < 82 kg c) H 0 : ? < 82 kg H 1 : ? > 82 kg d) H 0 : ? ? 82 kg H 1 : ? > 82 kg.

218 views • 9 slides

Hypothesis Testing on Sample Proportion

216 views • 8 slides

Chapter 10

Chapter 10. A Brief Course in Statistics. Descriptive Statistics. Central tendency and dispersion The shape of distributions. Inferential Statistics. Probability theory A study of cheating. Factors that Influence Significance Tests. Alpha levels and Type I and II errors Effect size

379 views • 7 slides