'Population proportions' presentation slideshows

Session 7

Session 7. Outline. Chi-square Goodness-of-Fit Tests Fit to a Normal Simulation Modeling Autocorrelation , serial correlation Runs test Durbin-Watson Model Building Variable Selection Methods Minitab. Goodness-of-Fit Tests.

1.14k views • 95 slides

11.1 + 11.2

11.1 + 11.2. Section. 11.1. Inference about Two Population Proportions. Parallel Example 1: Distinguish between Independent and Dependent Sampling. For each of the following, determine whether the sampling method is independent or dependent.

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Chapter 12: Testing Hypotheses

Chapter 12: Testing Hypotheses. Motivating Example: UNT Stadium. Research Question : Do more than 50% of all UNT students support the new stadium? Study Options Census : Ask all 35,000+ students Is this feasible? Sample : Ask a smaller random sample

802 views • 66 slides

Chapter 11: Comparisons Involving Proportions and a Test of Independence

Chapter 11: Comparisons Involving Proportions and a Test of Independence. Inferences About the Difference Between Two Population Proportions. Hypothesis Test for Proportions of a Multinomial Population. Test of Independence: Contingency Tables.

494 views • 37 slides

Chapter 11 Comparisons Involving Proportions and a Test of Independence

Chapter 11 Comparisons Involving Proportions and a Test of Independence. H o : p 1 - p 2 = 0 H a : p 1 - p 2 = 0. Inference about the Difference Between the Proportions of Two Populations A Hypothesis Test for Proportions of a Multinomial Population

622 views • 36 slides

Statistical concepts

451 views • 32 slides

Chapter 5 Review

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Chapter 5 Review

447 views • 28 slides

SESSION 5 & 6

SESSION 5 & 6. Last Update 23 rd February 2011. Introduction to Statistics. Learning Objectives Part 1. Sampling (Random Sampling) Sampling Error Nonsampling Error. Sampling. Why? Cost! The sample proportions are used as an estimate for the population proportions Examples:

442 views • 28 slides

Muslim Schools, Multiculturalism and Community Cohesion in the UK

Muslim Schools, Multiculturalism and Community Cohesion in the UK. Learning Lessons from Roman Catholic State Schools in Scotland John Flint j.f.flint@shu.ac.uk. Introduction. Links between ethnicity and religion and national identity and citizenship Community cohesion in England

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LECTURE UNIT 5 Confidence Intervals (application of the Central Limit Theorem)

LECTURE UNIT 5 Confidence Intervals (application of the Central Limit Theorem). Sections 5.1, 5.2 Introduction and Confidence Intervals for Proportions. Lecture Unit 5 Objectives.

429 views • 24 slides

STA 291 Spring 2010

STA 291 Spring 2010. Lecture 13 Dustin Lueker. Statistical Inference: Estimation. Inferential statistical methods provide predictions about characteristics of a population, based on information in a sample from that population Quantitative variables Usually estimate the population mean

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Chapter 17: Chi-Square Tests

Chapter 17: Chi-Square Tests.

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STA 291 Spring 2010

STA 291 Spring 2010. Lecture 21 Dustin Lueker. Example. If the null hypothesis is rejected at a 2% level of significance, will the null be rejected at a 5% level of significance? Yes No Maybe. Example.

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STA 291 Summer 2010

STA 291 Summer 2010. Lecture 20 Dustin Lueker. Example. If the null hypothesis is rejected at a 2% level of significance, will the null be rejected at a 5% level of significance? Yes No Maybe. Example.

248 views • 14 slides

STA 291 Fall 2009

STA 291 Fall 2009. Lecture 13 Dustin Lueker. Central Limit Theorem. For random sampling, as the sample size n grows, the sampling distribution of the sample mean, , approaches a normal distribution Amazing: This is the case even if the population distribution is discrete or highly skewed

269 views • 13 slides

STA 291 Summer 2010

STA 291 Summer 2010. Lecture 12 Dustin Lueker. Central Limit Theorem. For random sampling, as the sample size n grows, the sampling distribution of the sample mean, , approaches a normal distribution Amazing: This is the case even if the population distribution is discrete or highly skewed

203 views • 13 slides

Lesson 9 - 3

Lesson 9 - 3. Confidence Intervals about a Population Proportion. Objectives. Obtain a point estimate for the population proportion Construct and interpret a confidence interval for the population proportion

221 views • 11 slides

STA 291 Fall 2009

186 views • 10 slides

6.3 Confidence Intervals for Population Proportions

6.3 Confidence Intervals for Population Proportions. Find a point estimate for a population proportion Construct a confidence interval for a population proportion Determine the minimum sample size required when estimating a population proportion.

223 views • 8 slides