'Descriptive statistics' presentation slideshows

IAM 530 ELEMENTS OF PROBABILITY AND STATISTICS

IAM 530 ELEMENTS OF PROBABILITY AND STATISTICS. INTRODUCTION. WHAT IS STATISTICS?. Statistics is a science of collecting data, organizing and describing it and drawing conclusions from it. That is, statistics is a way to get information from data. It is the science of uncertainty.

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Section I. Statistics

Section I. Statistics. What do they mean and why are they important?. What do stats mean?.

1.76k views • 93 slides

Data Preparation Part 1: Exploratory Data Analysis & Data Cleaning, Missing Data

Data Preparation Part 1: Exploratory Data Analysis & Data Cleaning, Missing Data. CAS Predictive Modeling Seminar Louise Francis Francis Analytics and Actuarial Data Mining, Inc. www.data-mines.com Louise.francis@data-mines.cm. Objectives.

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Detecting Outliers

Detecting Outliers. Detecting univariate outliers Detecting multivariate outliers. Outliers. Outliers are cases that have data values that are very different from the data values for the majority of cases in the data set.

924 views • 44 slides

Introduction to Medical Statistics

Introduction to Medical Statistics. Jan Klaschka 1st Faculty of Medicine Charles University. Statistical approach. Statistics deals with phenomena that occur repeatedly.

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Chapter 4

Chapter 4. Process Measurement. Effective Metrics. SMART Simple Measurable Actionable (they provide a basis for decision-making ) Related (to customer requirements and to each other ) Timel y. Identifying and Selecting Process Metrics.

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COTOR Training Session II

COTOR Training Session II. GL Data: Long Tails, Volatility, Data Transforms September 11, 2006. COTOR Session II Presenters. Doug Ryan MBA Actuaries, Inc. Phil Heckman Heckman Actuarial Consulting. Assumptions and Verification. Behavior of mean, variance, distribution (sometimes)

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Chapter One

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Biostat 201: Winter 11

Biostat 201: Winter 11. Lab Session 3. SAS/STATA code key. I will use the following convention in these slides: statements : bold keywords : italics options : underlined Variables, or something you specify yourself : courier font . Assignment 3. What do we need to do?.

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Introduction to the SPSS Interface

Introduction to the SPSS Interface. Dr. Mohammed Alahmed Ph.D. in Biostatistics alahmed@ksu.edu.sa (011) 4674108. Contents. SPSS interface: Data view and Variable view How to enter data in SPSS How to import external data into SPSS How to clean and edit data

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Recognizing percentiles

Recognizing percentiles. A percentile is the value of a variable below which a certain percent of observations fall. So the 20th percentile is the value (or score) below which 20 percent of the observations may be found.

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Frequency distributions and graphing data: Levels of Measurement Frequency distributions Graphing data

Frequency distributions and graphing data: Levels of Measurement Frequency distributions Graphing data. Stages in scientific investigation: Obtain your data: Usually get data from a sample , taken from a population . Descriptive statistics:

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Descriptive Statistics

Descriptive Statistics. Imagine you go to a party and you talk to 10 people. You get information on all 5 variables from each individual. Then when you are with a friend the next day you want to describe what you learned at the party.

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Statistical Techniques in Business & Economics

Statistical Techniques in Business & Economics. Douglas Lind, William Marchal & Samuel Wathen. STAT 107 Course Contents. Chapter Title 1 What is Statistics 2 Describing Data: Frequency Distributions and Graphic Presentation . 3 Describing Data: Numerical Measures

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The nature of EU funded R&D collaboration networks in the area of Information Society Technologies

The nature of EU funded R&D collaboration networks in the area of Information Society Technologies. Aimilia Protogerou, Yannis Caloghirou and Evangelos Siokas Laboratory of Industrial and Energy Economics National Technical University of Athens

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Welcome Statistical Methods and Data analysis PSY-301

Welcome Statistical Methods and Data analysis PSY-301. Course Skills Objectives. Computer Analysis of Data Using SPSS (PASW) Statistical Package for the Social Sciences Interpretation of Results What do results mean? What conclusions can be drawn? Communication

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Lec 7, Ch4, pp83-99: Spot Speed Studies (Objectives)

Lec 7, Ch4, pp83-99: Spot Speed Studies (Objectives). Know when you need to conduct a speed study and where you should do it Learn how spot speed data can be collected (from the reading) Know how to determine the sample size needed Know how to reduce the collected data

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Statistics With Excel 2007 Dr. N . Leveille University of Houston-Downtown leveillen@uhd

Statistics With Excel 2007 Dr. N . Leveille University of Houston-Downtown leveillen@uhd.edu Digital Education: Beyond the City Limits October 3, 2008. Statistics With Excel 2007

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Examples of Descriptive Statistics

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