'Chi square distribution' presentation slideshows

Biostat 200 Lecture 8

Biostat 200 Lecture 8. Review. The test statistics follow a theoretical distribution ( t stat follows the t distribution, F statistic follows the F distribution, z stat follows the Standard Normal) if certain assumptions are met. These assumptions are:

639 views • 56 slides

Biostat 200 Lecture 8

Biostat 200 Lecture 8. Review. The test statistics follow a theoretical distribution ( t stat follows the t distribution, F statistic follows the F distribution, z stat follows the Standard Normal) if certain assumptions are met. These assumptions are:

671 views • 56 slides

Chi-Square and F Distributions

Chapter 11. Chi-Square and F Distributions. Understandable Statistics Ninth Edition By Brase and Brase Prepared by Yixun Shi Bloomsburg University of Pennsylvania. The Chi-Square Distribution. The ? 2 distribution has the following features: All possible values are positive.

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Chapter Eleven Part 1 (Section 11.1) Chi-Square and F Distributions

Understandable Statistics Eighth Edition By Brase and Brase Prepared by: Lynn Smith Gloucester County College. Chapter Eleven Part 1 (Section 11.1) Chi-Square and F Distributions. The Chi-Square Distribution.

610 views • 49 slides

Analyze Statistic by Using SPSS

Analyze Statistic by Using SPSS. 2 nd Day. ??????? ???????? ??????.

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366 views • 28 slides

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Chi Square Test

Chi Square Test. Dr. Asif Rehman. Outline. Types of Variables Quantitative Data Assessment (parametric) Descriptive assessment T-test Qualitative Data Assessment (Non parametric) Descriptive Assessment Chi Square test(Fisher Exact test). Types of Data.

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Chapter 26 Chi-Square Testing

Chapter 26 Chi-Square Testing. Chi-Square Testing. About the Chi-Square Distribution: The chi-square distributions are a family of distributions that take only positive values and are skewed to the right.

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Statistical Analysis SC504/HS927 Spring Term 2008

Statistical Analysis SC504/HS927 Spring Term 2008. Week 18 (1st February 2008): Revision of Univariate and Bivariate. Levels of measurement. Nominal e.g., colours numbers are not meaningful

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Lecture 11. The chi-square test for goodness of fit

Lecture 11. The chi-square test for goodness of fit. Objectives. The chi-square test for goodness of fit (Single Award) Idea of the chi-square test The chi-square distributions Goodness of fit hypotheses Conditions for the chi-square goodness of fit test Chi-square test for goodness of fit.

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Important facts

Important facts. Review. Reading pages: P330-P337 (6 th ), or P346-359 (7 th ). Chi-square distribution. Definition If Xi are k independent , normally distributed random variables with mean 0 and variance 1, then the random variable

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Lesson 12 - R

Lesson 12 - R. Chapter 12 Review. Objectives. Summarize the chapter Define the vocabulary used Complete all objectives Successfully answer any of the review exercises Use the technology to compute required objectives. Key Concepts.

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Lesson 12 - R

Lesson 12 - R. Chapter 12 Review. Objectives. Summarize the chapter Define the vocabulary used Complete all objectives Successfully answer any of the review exercises Use the technology to compute required objectives. Key Concepts.

239 views • 13 slides

Section 7-5

Section 7-5. Estimating a Population Variance. MAIN OBJECTIIVES. Given sample values, estimate the population standard deviation ? or the population variance ? 2 . Determine the sample size required to estimate a population standard deviation or variance.

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Section 7-5

Section 7-5. Estimating a Population Variance. MAIN OBJECTIIVES. Given sample values, estimate the population standard deviation ? or the population variance ? 2 . Determine the sample size required to estimate a population standard deviation or variance.

222 views • 13 slides

Section 7-5

Section 7-5. Estimating a Population Variance. MAIN OBJECTIIVES. Given sample values, estimate the population standard deviation ? or the population variance ? 2 . Determine the sample size required to estimate a population standard deviation or variance.

251 views • 13 slides

STAT 104. Section 8

STAT 104. Section 8. Daniel Moon. Contents . Feedback on HW #7 Critical Value Pooled, Unpooled, and Paired t-test F-test P-Value (Sample size is very large ? Low P ) Plus Four Two-way Tables Chi-square. How to take critical value. One-sided (95%) Critical Value Z: 1.65. Two-sided

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Random Number Generators

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Chi-squared Test (1)

Chi-squared Test (1). H 0 : population follows distribution Divide the observations into k bins O i = observed frequency in i -th bin E i = expected frequency in i -th bin Test statistic:. Chi-squared Test (2).

201 views • 6 slides