'Sample mean' diaporamas de présentation

Multivariate Statistical Analysis

Multivariate Statistical Analysis. Shyh-Kang Jeng Department of Electrical Engineering/ Graduate Institute of Communication/ Graduate Institute of Networking and Multimedia. controllable factors. input. Process. output. uncontrollable factors. What Is Multivariate Analysis?.

3.46k views • 82 slides

Introduction to Probability and Probability Distributions

1.2k views • 80 slides

Inference for Means

Inference for Means. CH23 And Ch 24&25. Quantitative Data. The population of interest has a certain mean ? we want to estimate. Gather a representative sample get a an estimate for the true mean the sample mean:

1.04k views • 60 slides

Chapter Sampling Distributions

868 views • 56 slides

Basic Statistical Concepts

Basic Statistical Concepts. Donald E. Mercante, Ph.D. Biostatistics School of Public Health L S U - H S C. Sample. Population. Parameters. Statistics. Two Broad Areas of Statistics. Descriptive Statistics - Numerical descriptors - Graphical devices - Tabular displays

721 views • 40 slides

Statistics: Analyzing and Comparing Data

Statistics: Analyzing and Comparing Data . Module 3. Outline. Estimating the true mean using sample average Estimating the true variance using sample variance Confidence intervals and hypothesis tests for means and variances. Population Mean and Sample Mean.

523 views • 40 slides

Chapter 3

Chapter 3. Using Numbers to Describe Distributions of Data. With one data point clearly the central location is at the point itself. Measures of Central Location . The measure of central location reflects the locations of all the actual data points. How?. With two data points,

580 views • 38 slides

Sampling Distributions of Statistics Corresponds to Chapter 5 of Tamhaneand Dunlop

Sampling Distributions of Statistics Corresponds to Chapter 5 of Tamhaneand Dunlop. Slides prepared by Elizabeth Newton (MIT), with some slides by Jacqueline Telford (Johns Hopkins University) . Sampling Distributions . Definitions and Key Concepts

651 views • 36 slides

Describing Data: Numerical Measures

Describing Data: Numerical Measures. Chapter 3. GOALS. Calculate the arithmetic mean, weighted mean, median, mode, and geometric mean. Explain the characteristics, uses, advantages, and disadvantages of each measure of location.

941 views • 36 slides

Chap 7 : Survey Sampling

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Large Sample Theory

Large Sample Theory. Convergence Convergence in Probability Convergence in Distribution Central Limit Theorems Asymptotic Distribution Delta Method. Convergence in Probability.

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1.1 Populations and Samples

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Module 12: Populations, Samples and Sampling Distributions

Module 12: Populations, Samples and Sampling Distributions. This module provides basic information about the statistical concepts of populations and samples, selecting samples from population and the critical issue of sampling distributions. Reviewed 05 May 05 / MODULE 12.

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Descriptive Statistics: Numerical Methods, Part 1

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Summary Measures

Summary Measures . Summary Measures. Variation. Central Tendency. Quartile. Mean. Mode. Coefficient of Variation. Median. Range. Variance. Midrange. Standard Deviation. Midhinge. Measures of Central Tendency. Central Tendency. Mean. Median. Mode. Midrange. Midhinge.

794 views • 18 slides

Suzanne Moffatt Emma Noble Institute of Health & Society Newcastle University

375 views • 17 slides

Asymptotics

Asymptotics. What do you need to know?. Need to understand concept of a plim Need to be able to do things like prove consistency (or inconsistency of an estimator). What else do you need to know?. Understand the idea of convergence in distribution

332 views • 17 slides

Sorting out statistical dilemmas P value or 95% CI

256 views • 15 slides

Frequency Distribution: Mean, Variance, Standard Deviation

Frequency Distribution: Mean, Variance, Standard Deviation. x. f. 12. 5. 13. 7. 14. 6. 15. 4. 16. 3. Given : Number of credit hours a sample of 25 full-time students are taking this semester was collected and is summarized here as a frequency distribution:.

2.44k views • 12 slides

All of Statistics: A Concise Course in Statistical Inference

All of Statistics: A Concise Course in Statistical Inference. Chapter 3 Expectation Prepared by Gene Shiau. The average value of X. Also known as the expectation the mean the first moment The k th moment of X is. Properties of expectations.

374 views • 8 slides