'Expected frequency' presentation slideshows

Population Genetics: Selection and mutation as mechanisms of evolution

Population Genetics: Selection and mutation as mechanisms of evolution. Population genetics: study of Mendelian genetics at the level of the whole population. Hardy-Weinberg Equilibrium.

1.8k views • 120 slides

Chapter 3

Chapter 3. The Normal Curve. Where have we been? . ? = = 1.79. ?(X- ?) = 0.00. ?(X- ?) 2 = SS = 16.00. ?X = 30 N = 5 ? = 6.00.

834 views • 54 slides

Finding surprising patterns in a time series database in linear time and space

Finding surprising patterns in a time series database in linear time and space. Eamonn Keogh University of California, Riverside, CA Stefano Lonardi University of California, Riverside, CA Bill 'Yuan-chi' Chiu University of California, Riverside, CA KDD '02. ??? ??? ??? ???. Outline.

675 views • 41 slides

525 views • 36 slides

Chi Squared Tests

Chi Squared Tests. Chapter 16. 16.1 Introduction. Two statistical techniques are presented, to analyze nominal data. A goodness-of-fit test for the multinomial experiment. A contingency table test of independence. Both tests use the c 2 as the sampling distribution of the test statistic.

498 views • 28 slides

THEORY & ASSOCIATION 0F ATTRIBUTES

THEORY & ASSOCIATION 0F ATTRIBUTES. THEORY AND ASSOCIATION OF ATTRIBUTES. Attributes are studied under the following two categories. A) Theory of Attributes : Basic Concepts. ATTRIBUTES AND VARIABLES STATISTICS of VARIABLES:

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Welcome to Introduction to Bioinformatics Wednesday, 13 April 2005

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Chi-Square Test ( ? 2 )

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Chi SquareTest

Chi SquareTest. The statistical test used to test the null hypothesis that proportion equal or equivalently, that factors or characteristics are independent or not associated.

422 views • 23 slides

Chi Square & Correlation

Chi Square & Correlation. Nonparametric Test of Chi 2. Used when too many assumptions are violated in T-Tests: Sample size too small to reflect population Data are not continuous and thus not appropriate for parametric tests based on normal distributions.

350 views • 23 slides

Chi Square & Correlation

Chi Square & Correlation. Nonparametric Test of Chi 2. Used when too many assumptions are violated in T-Tests: Sample size too small to reflect population Data are not continuous and thus not appropriate for parametric tests based on normal distributions.

332 views • 23 slides

Categorical Data

356 views • 18 slides

Inferential Statistics 3: The Chi Square Test

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Reflecting Policy Limits in the FFT Algorithm

Reflecting Policy Limits in the FFT Algorithm. James C. Sandor, FCAS, MAAA American Re-Insurance 2003 CAS Seminar on Reinsurance. Agenda. BRIEFLY review FFT algorithm Describe modification to reflect policy limits An example The algorithm in practice Questions. A Brief Review.

275 views • 14 slides

Ch. 15: The Analysis of Frequency Tables

Ch. 15: The Analysis of Frequency Tables. Chi-Square. Assesses the discrepancy between the expected frequency and the observed frequency. A focused test when df = 1. Computing Chi-Square. where fo is the observed frequency in each cell. and f e is the expected frequency in each cell.

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Section VIII Chi-square test for comparing proportions and frequencies

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Binary and binomial responses

Binary and binomial responses. The response probabilities are modelled as functions of the predictors Link functions: the probit link: the logit link: the log-log link:. Binary and binomial responses. the probit link: the logit link: the log-log link:. Link functions.

251 views • 11 slides

Count data, contingency tables and log-linear models

Count data, contingency tables and log-linear models. Expected frequency: Log-linear models are linear models of the log expected frequency (log is used as link function). A log-linear model for independence. The last parameter of each kind can be set to zero.

319 views • 10 slides

Kruskal Wallis

558 views • 10 slides

Review t-tests

317 views • 4 slides