Chapter 4 – Numerical Descriptive Techniques

Slides:



Advertisements
Similar presentations
5.4 Correlation and Best-Fitting Lines
Advertisements

1 Copyright © 2005 Brooks/Cole, a division of Thomson Learning, Inc. Summarizing Bivariate Data Introduction to Linear Regression.
©Brooks/Cole, 2001 Chapter 9 Pointers. ©Brooks/Cole, 2001 Figure 9-1.
Lesson 5.7- Statistics: Scatter Plots and Lines of Fit, pg. 298 Objectives: To interpret points on a scatter plot. To write equations for lines of fit.
©Brooks/Cole, 2001 Chapter 8 Arrays. ©Brooks/Cole, 2001 Figure 8-1.
Chapter 1 – What is Statistics?
Chapter 3 Summarizing Descriptive Relationships ©.
©Brooks/Cole, 2001 Chapter 3 Structure of a C Program.
©Brooks/Cole, 2001 Chapter 10 Pointer Applications.
©Brooks/Cole, 2001 Chapter 11 Strings. ©Brooks/Cole, 2001 Figure 11-1.
©Brooks/Cole, 2001 Chapter 4 Functions. ©Brooks/Cole, 2001 Figure 4-1.
Chapter 7 Forecasting with Simple Regression
Chapter 11 Simple Regression
Statistics for Business and Economics 8 th Edition Chapter 11 Simple Regression Copyright © 2013 Pearson Education, Inc. Publishing as Prentice Hall Ch.
Chapter 3 Describing Bivariate Data General Objectives: Sometimes the data that are collected consist of observations for two variables on the same experimental.
Learning Objective Chapter 14 Correlation and Regression Analysis CHAPTER fourteen Correlation and Regression Analysis Copyright © 2000 by John Wiley &
Statistics and Numerical Method Part I: Statistics Week 1I: Data Presentation 1/2555 สมศักดิ์ ศิวดำรงพงศ์
Examining Relationships Chapter 3. The growth and decline of forests … included a scatter plot of y = mean crown dieback (%), which is one indicator of.
Paul Krugman and Robin Wells
 Graph of a set of data points  Used to evaluate the correlation between two variables.
Statistical Methods Statistical Methods Descriptive Inferential
Linear Regression Analysis 5E Montgomery, Peck & Vining
Scatter Diagrams Objective: Draw and interpret scatter diagrams. Distinguish between linear and nonlinear relations. Use a graphing utility to find the.
Chapter 3 Correlation.  Association between scores on two variables –e.g., age and coordination skills in children, price and quality.
12/5/2015 V. J. Motto 1 Chapter 1: Linear Models V. J. Motto M110 Modeling with Elementary Functions 1.4 Linear Data Sets and “STAT”
5.4 Line of Best Fit Given the following scatter plots, draw in your line of best fit and classify the type of relationship: Strong Positive Linear Strong.
Chapter 9: Correlation and Regression Analysis. Correlation Correlation is a numerical way to measure the strength and direction of a linear association.
Scatter Diagrams scatter plot scatter diagram A scatter plot is a graph that may be used to represent the relationship between two variables. Also referred.
2.5 Using Linear Models A scatter plot is a graph that relates two sets of data by plotting the data as ordered pairs. You can use a scatter plot to determine.
Chapter 4 Minitab Recipe Cards. Correlation coefficients Enter the data from Example 4.1 in columns C1 and C2 of the worksheet.
Scatter Plots & Lines of Best Fit To graph and interpret pts on a scatter plot To draw & write equations of best fit lines.
Descriptive measures of the degree of linear association R-squared and correlation.
Summarizing Descriptive Relationships
Covariance/ Correlation
Examining Relationships
Chapter 1 Graphs, Charts, and Tables – Describing Your Data
Aim: What are the graphs for one and two variables data?
Chapter 18 – Multiple Regression
Chapter 12 – Inference about a Population
Interpret Scatterplots & Use them to Make Predictions
CHAPTER fourteen Correlation and Regression Analysis
Covariance/ Correlation
Covariance/ Correlation
Econ 3790: Business and Economics Statistics
Chapter 11 – Introduction to Hypothesis Testing
2. Find the equation of line of regression
2.6 Draw Scatter Plots and Best-Fitting Lines
Chapter 15 – Analysis of Variance
Chapter 8 – Continuous Probability Distributions
Chapter 13 – Inference about Comparing Two Populations
Correlation and Regression
Keller: Stats for Mgmt & Econ, 7th Ed
Chapter 17 – Simple Linear Regression and Correlation
Chapter 9 – Sampling Distributions
CORRELATION ANALYSIS.
Introduction to Probability and Statistics Thirteenth Edition
Chapter 14 – Statistical Inference: Review of Chapters 12 and 13
Residuals and Residual Plots
Section 1.4 Curve Fitting with Linear Models
Scatter Plots and Equations of Lines
Chapter 7 – Random Variables and Discrete Probability Distributions
Chapter 2 – Graphical Descriptive Techniques
7.1 Draw Scatter Plots & Best-Fitting Lines
Chapter 16 – Chi-Square Tests
Covariance/ Correlation
Statistics for Management and Economics-Sixth Edition Gerald Keller – Brian Warrack Chapter 6 - Probability.
Chapter 3 – Art and Science of Graphical Presentations
Unit 2 Quantitative Interpretation of Correlation
Summarizing Descriptive Relationships
Scatter Plots That was easy Year # of Applications
Presentation transcript:

Chapter 4 – Numerical Descriptive Techniques Statistics for Management and Economics-Sixth Edition Gerald Keller – Brian Warrack Chapter 4 – Numerical Descriptive Techniques

Excel Output for Examples 4.2, 4.4, and 4.6 © 2003 Brooks/Cole Publishing / Thomson Learning™ Excel Output for Examples 4.2, 4.4, and 4.6

Excel Output for Example 4.8 © 2003 Brooks/Cole Publishing / Thomson Learning™ Excel Output for Example 4.8

Minitab Destructive Statistics – Example 4.8 © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab Destructive Statistics – Example 4.8

Excel – Descriptive Statistics – For Example 2.1 © 2003 Brooks/Cole Publishing / Thomson Learning™ Excel – Descriptive Statistics – For Example 2.1

Minitab – Descriptive Statistics: Bills Example 2.1 © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab – Descriptive Statistics: Bills Example 2.1

Figure 4.1 Box plot for Example 4.1 © 2003 Brooks/Cole Publishing / Thomson Learning™ Figure 4.1 Box plot for Example 4.1

Excel Box Plot for Example 2.1 © 2003 Brooks/Cole Publishing / Thomson Learning™ Excel Box Plot for Example 2.1

Minitab Graph and Box Plot for Example 2.1 © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab Graph and Box Plot for Example 2.1

Minitab for Example 4.15 Graph and Box plot © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab for Example 4.15 Graph and Box plot

Figure 4.2 Strong linear relationship © 2003 Brooks/Cole Publishing / Thomson Learning™ Figure 4.2 Strong linear relationship

Figure 4.3 Strong negative linear relationship © 2003 Brooks/Cole Publishing / Thomson Learning™ Figure 4.3 Strong negative linear relationship

Figure 4.4 No linear relationship © 2003 Brooks/Cole Publishing / Thomson Learning™ Figure 4.4 No linear relationship

Applet 1A Scatter Diagrams and Correlation © 2003 Brooks/Cole Publishing / Thomson Learning™ Applet 1A Scatter Diagrams and Correlation

Applet 1B Scatter Diagrams and Correlation © 2003 Brooks/Cole Publishing / Thomson Learning™ Applet 1B Scatter Diagrams and Correlation

Applet 2 Scatter Patterns and Correlation © 2003 Brooks/Cole Publishing / Thomson Learning™ Applet 2 Scatter Patterns and Correlation

© 2003 Brooks/Cole Publishing / Thomson Learning™ Excel A Covariance

© 2003 Brooks/Cole Publishing / Thomson Learning™ Excel B Covariance

© 2003 Brooks/Cole Publishing / Thomson Learning™ Excel C Correlation

Minitab D Variance-Covariance Matrix © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab D Variance-Covariance Matrix

Minitab E Coefficient of Correlation © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab E Coefficient of Correlation

© 2003 Brooks/Cole Publishing / Thomson Learning™ Excel Scatter Diagram

Minitab Stat, Regression and Fitted Line Plot © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab Stat, Regression and Fitted Line Plot

Excel Interpret a Scatter Diagram © 2003 Brooks/Cole Publishing / Thomson Learning™ Excel Interpret a Scatter Diagram

Minitab Interpret a Regression Plot © 2003 Brooks/Cole Publishing / Thomson Learning™ Minitab Interpret a Regression Plot

Example 2.2 Comparing Graphical and numerical techniques © 2003 Brooks/Cole Publishing / Thomson Learning™ Example 2.2 Comparing Graphical and numerical techniques

Example 2.3 Comparing Graphical and Numerical Techniques © 2003 Brooks/Cole Publishing / Thomson Learning™ Example 2.3 Comparing Graphical and Numerical Techniques

Excel Output for Example 2.7 © 2003 Brooks/Cole Publishing / Thomson Learning™ Excel Output for Example 2.7

Flow-Chart: Graphical and Numerical Techniques © 2003 Brooks/Cole Publishing / Thomson Learning™ Flow-Chart: Graphical and Numerical Techniques