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Characteristic Functions

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

By princess
(194 views)

Chapter Nine: Evaluating Results from Samples

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. .

By colista
(81 views)

Nonparametric tests and ANOVAs: What you need to know

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.

By cilicia
(264 views)

Sociology 601: Midterm review, October 15, 2009

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

By effie
(136 views)

Statistics Idiots Guide!

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.

By berny
(177 views)

On Comparing Classifiers : Pitfalls to Avoid and Recommended Approach

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.

By kevyn
(157 views)

STT430/530: Nonparametric Statistics

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.

By lovie
(181 views)

What statistical analysis should I use?

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

By melva
(650 views)

Review of yesterday

Review of yesterday

Review of yesterday. Consider. Don’t sum the cars Don’t reject the actual hypothesis H 1 (when p<0.05 you reject the Null hypothesis H 0 ) Use simple variable names not Y/N or Å. Don’t use function names as variable names, e.g., length mean t. 16. 14. 12. 10. 8. 6. 4. Red ants.

By belita
(102 views)

Chapter 19: The Binomial Test

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.

By baxter-kemp
(339 views)

Title of Experiment

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.

By colette-rose
(69 views)


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