'Sampling variability' presentation slideshows

Sampling Distribution Models

Sampling Distribution Models. Chapter 9. Objectives:. Sampling Distribution Model Sampling Variability (sampling error) Sampling Distribution Model for a Proportion Central Limit Theorem Sampling Distribution Model for a Mean. Introduction:.

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Hypothesis Testing

Hypothesis Testing. LIR 832 Lecture #3 January 30, 2007. Topics of the Day. A. Our Fundamental Problem Again: Learning About Populations from Samples B. Basic Hypothesis Testing: One Tailed Tests Using a Z Statistic C. Probability and Critical Cutoff Approaches: Really the Same Thing

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Statistical Inference I: Hypothesis testing; sample size

Statistical Inference I: Hypothesis testing; sample size. Statistics Primer. Statistical Inference Hypothesis testing P-values Type I error Type II error Statistical power Sample size calculations. What is a statistic?.

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GATHERING AND PRODUCING DATA

GATHERING AND PRODUCING DATA. How Data are Obtained. Census Everyone is included Observational Study Observes individuals and measures variables but does not attempt to influence responses Includes surveys and polls Experiment

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5.1: Designing Samples

5.1: Designing Samples. Observational Study. vs. Experiment. Population. SAMPLE. yes. yes. yes. no. no. no. no. yes. no. no. yes. no. yes. no. no. no. yes. no. no. no. no. no. no. yes. no. yes. no. yes. no. yes. no. no. no. no. no. yes. no. yes. no. yes.

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INFERENCE

INFERENCE. What can you find out about a population by looking at a sample?. Getting started. You need a population to sample There should be a reason to sample The koala learning activity was developed by Anthony Harradine (2008). Are the koalas healthy? . Take a sample and make a dotplot.

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Teaching activities towards Achievement Standard 2.9

Teaching activities towards Achievement Standard 2.9. Use statistical methods to make an inference. What is new/changed?. Use of exploratory data analysis. Statistical inference comparing two populations. Informal confidence intervals for population medians. Sampling variability.

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9.1: Sampling Distributions

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Informal statistical inference: Years 10 to 12

Informal statistical inference: Years 10 to 12. Maxine Pfannkuch and Chris Wild The University of Auckland. Outline. A story from my research Brief introduction to comparative reasoning and informal inference Experiencing sampling variability Two Activities. A story from my research.

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Convenience sampling : Just ask whoever is around.

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Collecting Data

Collecting Data. Lesson 3.3 Simple Random Samples. 3. Simple Random Samples. Describe how to obtain a simple random sample using slips of paper or technology. Explain the concept of sampling variability and the effect of increasing sample size.

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9-1:Sampling Distributions ? Preparing for Inference!

9-1:Sampling Distributions ? Preparing for Inference!. Parameter : A number that describes the population (usually not known) Statistic : A number that can be computed from the sample data without making use of any unknown parameters. . Example .

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Section 8.1

Section 8.1. Statistics and Sampling Variability. Introduction. Suppose I want to know the average GPA of seniors at Glacier Peak. I could track down every senior at GP and ask them their GPA, this would give me the true mean of the population OR I could take a sample.

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Political Science 30: Political Inquiry

Political Science 30: Political Inquiry. Drawing a Good Sample. Finishing Up Polling. Random Sampling Margin of Error Nonrandom methods of drawing a sample or HOW NOT TO DO A POLL Convenience sample Voluntary response sample. How to Draw a Random Sample.

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CHAPTER 7 Sampling Distributions

CHAPTER 7 Sampling Distributions. 7.1 What Is A Sampling Distribution?. What Is A Sampling Distribution?. DISTINGUISH between a parameter and a statistic. USE the sampling distribution of a statistic to EVALUATE a claim about a parameter.

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Section 9.1-9.2

Section 9.1-9.2. Sampling Distributions and Sample Proportions. Sampling Distribution. Sampling Distribution ~ distribution of values taken by the statistic in all possible samples of the same size from the same population A sample distribution is DIFFERENT than the sampling distribution.

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Chapter 9

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NIHR Statistical Meeting 13 th February 2012

NIHR Statistical Meeting 13 th February 2012. Sample Size by design in complex intervention trials Toby Prevost Unit for Medical Statistics KCL. F r e d Smith. C h r i s Palmer. Ann-Louise K i n m o n t h. S i m o n Thompson. What can sample size formulae tell us?. Input. Output.

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