L16-09

# L16-09 - The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL...

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10/29/09 Lecture 16 1 STOR 155 Introductory Statistics Chapter 6: Introduction to Inference Lecture 16: Estimation with Confidence The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL

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10/29/09 Lecture 16 2 Statistical inference is a class of procedures by which we acquire information about populations from samples . Three procedures for making inferences: Point estimation Confidence interval Hypotheses testing Introduction Statistical Inference Sample Population
10/29/09 Lecture 16 3 • The number and the types of television programs and commercials targeted at children are affected by the amount of time children watch TV. • Average time children watch TV • A survey was conducted among 100 children, in which they were asked to record the number of hours they watched TV per week. The sample mean is TV Watching Time . 191 . 27 x

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10/29/09 Lecture 16 4 • Use sample mean to estimate population mean . • A point estimator makes inference about a population by estimating the value of an unknown parameter using a single numerical value (a point). • Drawbacks: • How different is the estimate from the true parameter? • How reliable is your estimate? • How confident are you with your estimate? • Ways to improve? Point Estimation
10/29/09 Lecture 16 5 Confidence Interval • A confidence interval has the form: point estimate margin of error • The point estimate is our guess for the value of an unknown parameter.

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## This note was uploaded on 11/17/2011 for the course STOR 155 taught by Professor Andrewb.nobel during the Fall '08 term at UNC.

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L16-09 - The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL...

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