'Binomial test' diaporamas de présentation

What statistical analysis should I use?

Friedman test Reshaping data Ordered logistic regression Factorial logistic regression Correlation Simple linear regression Non-parametric correlation Simple logistic regression Multiple regression Analysis of covariance Multiple logistic regression Discriminant analysis One-way MANOVA

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Review of yesterday

863 views • 74 slides

Nonparametric tests and ANOVAs: What you need to know

Nonparametric tests and ANOVAs: What you need to know. Nonparametric tests. Nonparametric tests are usually based on ranks There are nonparametric versions of most parametric tests. Parametric. Nonparametric. One-sample and Paired t-test. Sign test. Mann-Whitney U-test.

793 views • 40 slides

Sociology 601: Midterm review, October 15, 2009

Sociology 601: Midterm review, October 15, 2009. Basic information for the midterm Date: Tuesday October 20, 2009 Start time: 2 pm. Place: usual classroom, Art/Sociology 3221 Bring a sheet of notes, a calculator, two pens or pencils Notify me if you anticipate any timing problems

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On Comparing Classifiers : Pitfalls to Avoid and Recommended Approach

On Comparing Classifiers : Pitfalls to Avoid and Recommended Approach. Published by Steven L. Salzberg. Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. Presenter Jiyeon Kim (April14 th , 2014). Introduction.

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STT430/530: Nonparametric Statistics

STT430/530: Nonparametric Statistics. Chapter 2: Fundamentals Of Nonparametric Methods Dr. Cuixian Chen. Ch2: Fundamentals of nonparametric methods, permutation test1. We want to justify an claim about median, with no further assumptions on the distribution of the data.

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Chapter Nine: Evaluating Results from Samples

Chapter Nine: Evaluating Results from Samples. Review of concepts of testing a null hypothesis. Test statistic and its null distribution Type I and Type II errors Level of significance, probability of a Type II error, and power. .

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Statistics Idiots Guide!

Statistics Idiots Guide!. Dr. Hamda Qotba, B.Med.Sc, M.D, ABCM. Definition. Statistics is the science of collecting, organizing, summarising, analysing, and making inference from data. Descriptive stat. Includes collecting, organizing, summarising, analysing, and presenting data.

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Chapter 19: The Binomial Test

Chapter 19: The Binomial Test. The Binomial Test. The binomial test provides a method for testing hypotheses about population proportions for populations consisting of binomial data.

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Title of Experiment

Title of Experiment. Names of students in each group. Introduction. Background info Question Hypothesis (not prediction). Method. Experimental Design Data Collection Duration Sample size (n= ?). Results. Number of Controls vs. Experiment Binomial Test. Conclusion.

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Characteristic Functions

Characteristic Functions. 1. Bernoulli Distribution . he Bernoulli distribution is a discrete distribution having two possible outcomes labelled by n=0 and n=1 in which n=1 ("success") occurs with probability p

297 views • 4 slides