Introduction to Matlab

Slides:

Advertisements

Similar presentations

1 Chapter 13 Curve Fitting and Correlation This chapter will be concerned primarily with two separate but closely interrelated processes: (1) the fitting.

Advertisements

Two topics in R: Simulation and goodness-of-fit HWU - GS.

Stem and leaf diagrams and box plots Statistics. Draw a stem and leaf diagram using the set of data below

Project Maths - Teaching and Learning Relative Frequency % Bar Chart to Relative Frequency Bar Chart What is the median height.

Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Introduction to MATLAB 7 for Engineers William J. Palm.

CITS2401 Computer Analysis & Visualisation

Section 2.2, Part 2 Determining Normality AP Statistics.

Introduction to MATLAB Northeastern University: College of Computer and Information Science Co-op Preparation University (CPU) 10/27/2003.

Part 4 Chapter 13 Linear Regression

Exam #3 Review: Comprehensive Exam Class 14.2 Palm Matlab Book Ch. 1-5.

Business 90: Business Statistics

Introduction to MATLAB for Engineers, Third Edition William J. Palm III Chapter 7 Statistics, Probability, and Interpolation PowerPoint to accompany Copyright.

Data “Do not put your faith in what statistics say until you have carefully considered what they do not say. ” ~William W. Watt.

Numerical Operations S. Awad, Ph.D. M. Corless, M.S.E.E. E.C.E. Department University of Michigan-Dearborn Introduction to Matlab: Polynomial Manipulations.

Statistics: Unlocking the Power of Data Lock 5 1 in 8 women (12.5%) of women get breast cancer, so P(breast cancer if female) = in 800 (0.125%)

Introduction  Today we are looking at how to interpret experimental data  Normally, data is acquired with random errors  How do we take the data and.

CMPS1371 Introduction to Computing for Engineers NUMERICAL METHODS.

STAT02 - Descriptive statistics (cont.) 1 Descriptive statistics (cont.) Lecturer: Smilen Dimitrov Applied statistics for testing and evaluation – MED4.

The introduction to SPSS Ⅱ.Tables and Graphs for one variable ---Descriptive Statistics & Graphs.

JMB Chapter 1EGR Spring 2010 Slide 1 Probability and Statistics for Engineers  Descriptive Statistics  Measures of Central Tendency  Measures.

Curve Fitting and Regression EEE 244. Descriptive Statistics in MATLAB MATLAB has several built-in commands to compute and display descriptive statistics.

ES 240: Scientific and Engineering Computation. Chapter 13: Linear Regression 13. 1: Statistical Review Uchechukwu Ofoegbu Temple University.

Chapter 6: Random Errors in Chemical Analysis CHE 321: Quantitative Chemical Analysis Dr. Jerome Williams, Ph.D. Saint Leo University.

VOCAB WORD Textbook Definition TOPIC Definition in your own words Source.

Lecture 10 2D plotting & curve fitting Subplots Other 2-D Plots Other 2-D Plots Curve fitting © 2007 Daniel Valentine. All rights reserved. Published by.

1 Further Maths Chapter 2 Summarising Numerical Data.

Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. A Concise Introduction to MATLAB ® William J. Palm III.

Box and Whisker Plots. Introduction: Five-number Summary Minimum Value (smallest number) Lower Quartile (LQ) Median (middle number) Upper Quartile (UP)

Chapters 2 & 3 MATLAB Skills This tutorial revisits Examples 3.1 to 3.4 to show how MATLAB can be used to solve the same problems 1.Scatter Plots 2.Other.

Statistics 1: Introduction to Probability and Statistics Section 3-2.

Chapter 16 Exploratory data analysis: numerical summaries CIS 2033 Based on Textbook: A Modern Introduction to Probability and Statistics Instructor:

MDH Chapter 1EGR 252 Fall 2015 Slide 1 Probability and Statistics for Engineers  Descriptive Statistics  Measures of Central Tendency  Measures of Variability.

Engineering Analysis ENG 3420 Fall 2009 Dan C. Marinescu Office: HEC 439 B Office hours: Tu-Th 11:00-12:00.

Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. Introduction to MATLAB 7 for Engineers William J. Palm.

Introduction to Matlab Module #8 Page 1 Introduction to Matlab Module #8 – Animation Topics 1.getframe 2.pause 3.Plotting a set of files Textbook Reading.

4.2 Displays of Quantitative Data. Stem and Leaf Plot A stem-and-leaf plot shows data arranged by place value. You can use a stem-and-leaf plot when you.

Unit 2 Test Topics: Statistics Honors Analysis. Conditional Probability Geometric Probability ◦ triangles ◦ triangles ◦Basic area formulas.

Probability & Statistics Box Plots. Describing Distributions Numerically Five Number Summary and Box Plots (Box & Whisker Plots )

15 math terms By sjadavion Adams. probability Theoretical probability is what should happen in giving event.

Box and Whisker Plot Chapter 3.5. Box and Whisker Plot A Box-and-Whisker Plot or Box plot is a visual device that uses a 5-number summary to reveal the.

Write a statistical question you could ask your classmates about the movies they like.

Stem and leaf diagrams and box plots

Probability and Statistics for Engineers

Chapter 7 Introduction to MATLAB for Engineers, Third Edition

Module 6: Descriptive Statistics

Introduction to R Commander

MAT 111 Enthusiastic Studysnaptutorial.com

Probability and Statistics for Engineers

Lecture 10 2D plotting & curve fitting

Chapter 1: Introduction

4/19/13 Have out: Bellwork: total:

CHAPTER 5 Fundamentals of Statistics

Representing Data OCR Module 9

Probability and Statistics for Engineers

Introduction to MATLAB Programming

Introduction to Matlab

Probability and Statistics for Engineers

Probability and Statistics for Engineers

Introduction to MATLAB

Section 2.3 Pictures of Data

Part I Review Highlights, Chap 1, 2

Created by _____ & _____

Probability and Statistics for Engineers

Probability and Statistics for Engineers

Probability and Statistics for Engineers

Students will create and analyze Time Plots and Box Plots

What Month Were You Born In?

Ch. 12 Vocabulary 9.) measure of central tendency 10.) outlier

Overview of Statistical Applications

Number Summaries and Box Plots.

Presentation transcript:

Introduction to Matlab Module #7 – Statistics Topics Statistics Histograms & Bar Plots Scaled Histograms / Probability Textbook Reading Assignments 7.1-7.2 Practice Problems Chapter 7 Problems: 7.1, 7.2

1) Statistics Basic Statistic Commands Exist in Matlab (min, max, mean, median)

1) Statistics Regression Analysis (polyfit, polyval)

2) Histograms & Bar Plots Histograms ( hist(y), hist(y,n) )

2) Histograms & Bar Plots Histograms & Bar Plots (hist(y,n), bar(x,y) )

3) Scaled Histograms & Probability Histograms & Bar Plots (hist(y,n), bar(x,y) )

3) Histograms / Bar Plots Scaled Histograms (cumsum(x))