'Population variance 2' diaporamas de présentation

1 - Introduction 2 - Exploratory Data Analysis 3 - Probability Theory

Supplemental Lecture Notes. 1 - Introduction 2 - Exploratory Data Analysis 3 - Probability Theory 4 - Classical Probability Distributions 5 - Sampling Distrbns / Central Limit Theorem 6 - Statistical Inference 7 - Correlation and Regression (8 - Survival Analysis).

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Chapter 12

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Chapter 6. Point Estimation

Chapter 6. Point Estimation. Weiqi Luo ( ??? ) School of Software Sun Yat-Sen University Email ? weiqi.luo@yahoo.com Office ? # A313. Chapter 6: Point Estimation. 6.1. Some General Concepts of Point Estimation 6.2. Methods of Point Estimation.

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Basic Probability and Statistics

Basic Probability and Statistics. Random variables Distribution functions Various probability distributions. Definitions. An experiment is a process whose output is not known with certainty. The set of all possible outcomes of an experiment is called the sample space ( S ).

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Variability

Variability. Quantitative Methods in HPELS 440:210. Agenda. Introduction Frequency Range Interquartile range Variance/SD of population Variance/SD of sample Selection. Introduction. Statistics of variability: Describe how values are spread out

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Variability

Variability. Quantitative Methods in HPELS HPELS 6210. Agenda. Introduction Frequency Range Interquartile range Variance/SD of population Variance/SD of sample Selection. Introduction. Statistics of variability: Describe how values are spread out

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Section 3.2

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CHAPTER 4

CHAPTER 4. 4.1 - Discrete Models General distributions Classical: Binomial, Poisson, etc. 4.2 - Continuous Models General distributions Classical: Normal, etc.

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Mean, Variance, and Standard Deviation for Grouped Data

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