'Quantitative variables' diaporamas de présentation

Fuzzy Control

Fuzzy Control. Lecture 2 Fuzzy Set Basil Hamed Electrical Engineering Islamic University of Gaza. Content. Crisp Sets Fuzzy Sets Set-Theoretic Operations Fuzzy Relations. Introduction. Fuzzy set theory provides a means for representing uncertainties.

1.08k views • 72 slides

Fuzzy Control

Fuzzy Control. Lecture 2 Fuzzy Set Basil Hamed Electrical Engineering Islamic University of Gaza. Content. Crisp Sets Fuzzy Sets Set-Theoretic Operations Extension Principle Fuzzy Relations. Introduction. Fuzzy set theory provides a means for representing uncertainties.

1.37k views • 72 slides

Objectives

Objectives. Define statistics and statistical thinking Explain the process of statistics Distinguish between qualitative and quantitative variables Distinguish between discrete and continuous variables Determine the level of measurement of a variable. Objective 1.

957 views • 61 slides

Unit 4: Describing Data

Unit 4: Describing Data. Unit 4 Review. Summarize, represent, and interpret data on a single count or measurement variable Summarize, represent, and interpret data on two categorical and quantitative variables Interpret linear models. Unit 4: Lesson 1.

617 views • 41 slides

CHAPTER 1

CHAPTER 1. INTRODUCTION. WHAT IS STATISTICS?. Definition Statistics is a group of methods used to collect, analyze, present, and interpret data and to make decisions. TYPES OF STATISTICS. Definition

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Exam 2 Review

513 views • 36 slides

CHAPTER 1:

CHAPTER 1:. INTRODUCTION. WHAT IS STATISTICS?. Definition Statistics is a group of methods used to collect, analyze, present, and interpret data and to make decisions. TYPES OF STATISTICS. Definition

699 views • 31 slides

CHAPTER 1:

CHAPTER 1:. INTRODUCTION. WHAT IS STATISTICS?. Definition Statistics is a group of methods used to collect, analyze, present, and interpret data and to make decisions. TYPES OF STATISTICS. Definition

474 views • 31 slides

STA 291 Summer 2010

STA 291 Summer 2010. Lecture 2 Dustin Lueker. Common Problems when Sampling. Convenience sample Selecting subjects that are easily accessible to you Volunteer sample Selecting the first two subjects who volunteer to take the survey What are the problems with these samples?

432 views • 30 slides

STA 291 Spring 2010

STA 291 Spring 2010. Lecture 2 Dustin Lueker. Common Problems when Sampling. Convenience sample Selecting subjects that are easily accessible to you Volunteer sample Selecting the first two subjects who volunteer to take the survey What are the problems with these samples?

486 views • 30 slides

Correlation & Regression

Correlation & Regression. Chapter 10. Section 10-1 Introduction Section 10-2 Scatter Plots Section 10-3 Correlation Section 10-4 Regression Section 10-5 Coefficient of Determination and Standard Error of the Estimate Section 10-7 Summary. Outline .

1.23k views • 25 slides

STA 291 Fall 2009

STA 291 Fall 2009. Lecture 1 Dustin Lueker. Topics. Statistical terminology Descriptive methods Probability and distribution functions Estimation (confidence intervals) Hypothesis testing Inferential methods for two samples Simple linear regression and correlation. Why study Statistics?.

329 views • 24 slides

STA 291 Spring 2010

STA 291 Spring 2010. Lecture 1 Dustin Lueker. Topics. Statistical terminology Descriptive statistics Probability and distribution functions Inferential statistics Estimation (confidence intervals) Hypothesis testing Simple linear regression and correlation. Why study Statistics?.

366 views • 24 slides

Correlation & Regression

Correlation & Regression. A correlation and regression analysis involves investigating the relationship between two (or more) quantitative variables of interest.

1.36k views • 21 slides

Two Quantitative Variables

Two Quantitative Variables. Scatterplots examples how to draw them Association what to look for in a scatterplot Correlation strength of a linear relationship how to calculate good news and bad news . Paired vs. Unpaired Variables.

370 views • 20 slides

Exploratory Data Analysis

Exploratory Data Analysis. Statistics 2126. Introduction. If you are going to find out anything about a data set you must first understand the data Basically getting a feel for you numbers Easier to find mistakes Easier to guess what actually happened Easier to find odd values.

320 views • 20 slides

What Are We Summarizing?

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What is Statistics

What is Statistics. Chapter 1. GOALS. Understand why we study statistics. Explain what is meant by descriptive statistics and inferential statistics. Distinguish between a qualitative variable and a quantitative variable.

415 views • 12 slides

Vocabulary of Statistics

Vocabulary of Statistics. Part Two. Variable classifications. Qualitative variables: can be placed into distinct categories, according to some characteristic or attribute. for example: gender, religion, etc. Quantitative variables: numerical and can be ordered or ranked.

200 views • 12 slides

Mathematical Modeling and the Common Core Standards

Mathematical Modeling and the Common Core Standards. Modeling is one of the eight standards for mathematical practice:. 4. Model with mathematics.

67 views • 6 slides