Chapter 2 Analysis of Growth 2.2 Graphs: Picturing growth 1 Learning Objectives: Study various types of graphs: bar graphs, scatterplots, and line graphs.

Slides:



Advertisements
Similar presentations
Analyzing Multivariable Change: Optimization
Advertisements

Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved. 4 Trigonometric Functions.
Introduction to the Practice of Statistics Sixth Edition Chapter 7: Inference for Distributions Copyright © 2009 by W. H. Freeman and Company David S.
Section Copyright © 2014, 2012, 2010 Pearson Education, Inc. Lecture Slides Elementary Statistics Twelfth Edition and the Triola Statistics Series.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
2-3 We use a visual tool called a histogram to analyze the shape of the distribution of the data.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved.Copyright © 2010 Pearson Education Section 2-3 Histograms.
Chapter 2: Analysis of Growth
Copyright © 2008 Pearson Education, Inc. Chapter 5 Graphs and the Derivative Copyright © 2008 Pearson Education, Inc.
ANALYZING GRAPHS Essential Question?
Homework Homework Assignment #25 Read Section 4.5 Page 243, Exercises: 1 – 57 (EOO) Rogawski Calculus Copyright © 2008 W. H. Freeman and Company.
3 Exponential and Logarithmic Functions
Descriptive Methods in Regression and Correlation
Copyright © Cengage Learning. All rights reserved. 6 Inverse Functions.
Unit B 1.3 Acceleration.
Slide Copyright © 2008 Pearson Education, Inc. Chapter 4 Descriptive Methods in Regression and Correlation.
Copyright © Cengage Learning. All rights reserved. Exponential Function Modeling and Graphs SECTION 6.2.
 Why do we have graphical models?  To be able to model situations and data  To be able to compare, interpret and analyze graphs in order to recognize.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved Section 10-1 Review and Preview.
Examining Relationships
Chapter 6: Exploring Data: Relationships Lesson Plan Displaying Relationships: Scatterplots Making Predictions: Regression Line Correlation Least-Squares.
Chapter 4: Demand Opener
Copyright © Cengage Learning. All rights reserved. 2 Organizing Data.
1.6 Tables and Graphs GOAL 1 Use tables to organize data. GOAL 2 Use graphs to organize real-life data, such as the amounts of various foods consumed (Example.
Linear Functions 2 Sociology 5811 Lecture 18 Copyright © 2004 by Evan Schofer Do not copy or distribute without permission.
Section 2.4 Representing Data.
ANALYZING DATA. Interpreting and Presenting Survey Results Textbook page Tally your information Convert to percentages Organize data into tables.
Chapter 8 – Basic Statistics. 8.1 – Introduction to Basic Statistics.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by.
Presentation Of Data. Data Presentation All business decisions are based on evaluation of some data All business decisions are based on evaluation of.
Exponential and Logistic Functions. Quick Review.
Chapter 7 Probability and Samples: The Distribution of Sample Means.
Slide Copyright © 2008 Pearson Education, Inc. Chapter 6 The Normal Distribution.
Association between 2 variables We've described the distribution of 1 variable - but what if 2 variables are measured on the same individual? Examples?
Chapter 3 Section 1. Objectives 1 Copyright © 2012, 2008, 2004 Pearson Education, Inc. Linear Equations in Two Variables; The Rectangular Coordinate System.
2-2 Making Predictions Indicators  D1- Read, create, and interpret graphs D2- Analyze how decisions about graphing affect the graphical representation.
Introduction to the Practice of Statistics Sixth Edition Chapter 12: One-Way Analysis of Variance Copyright © 2009 by W. H. Freeman and Company David S.
Prem Mann, Introductory Statistics, 6/E Copyright  2007 John Wiley & Sons. All rights reserved. SSF1063: Statistics for Social Sciences LU2: Graphing.
Homework Homework Assignment #10 Read Section 3.2 Page 124, Exercises: 1 – 69 (EOO) Rogawski Calculus Copyright © 2008 W. H. Freeman and Company.
Fall Looking Back In Chapters 7 & 8, we worked with LINEAR REGRESSION We learned how to: Create a scatterplot Describe a scatterplot Determine the.
Section 2.4 Representing Data.
The # of CDs Shipped to Retailers Each Year Year CDs (millions)
Copyright © Cengage Learning. All rights reserved. 3 Applications of Differentiation.
Notes Chapter 7 Bivariate Data. Relationships between two (or more) variables. The response variable measures an outcome of a study. The explanatory variable.
Table of Contents Exponential Function - Graphing Example Sketch the graph of the exponential function... Find a few ordered pairs... f(-2) = 3 -2 = 1/9.
Chapter 3 Demand, Supply, and Market Equilibrium 1 Graphs and Tables Copyright © 2012 by The McGraw-Hill Companies, Inc. All rights reserved.
Functions 2 Copyright © Cengage Learning. All rights reserved.
Displaying and Describing Categorical Data Chapter 3.
Elementary Statistics
Elementary Statistics
Exponential and Logarithmic Functions
Graphical Interpretation of Motion in One Dimension
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
David S. Moore • George P. McCabe Practice of Statistics
EXPONENTIAL GROWTH MODEL
David S. Moore • George P. McCabe Practice of Statistics
David S. Moore • George P. McCabe Practice of Statistics
Scatter Plots and Equations of Lines
Visualization and interpretation of the limit
Visualization and interpretation of the limit
Chapter 1 The Nature of Science 1.3 Communicating With Graphs
Copyright © Cengage Learning. All rights reserved.
Remember, the coordinates should form a straight line.
Visualization and interpretation of the limit
Coordinates Picture For each instruction, join up the coordinates.
Lecture Slides Elementary Statistics Twelfth Edition
David S. Moore • George P. McCabe Practice of Statistics
Analyzing Multivariable Change: Optimization
Presentation transcript:

Chapter 2 Analysis of Growth 2.2 Graphs: Picturing growth 1 Learning Objectives: Study various types of graphs: bar graphs, scatterplots, and line graphs Learn how to interpret the patterns Analyze the graphs critically Determine advantages and disadvantages of each type of graph

Chapter 2 Analysis of Growth 2.2 Graphs: Picturing growth 2 Graphs allow us to visualize information, which helps see patterns that may not be readily apparent from a table. Example: A graph reveals visually where the function is increasing or decreasing and how rapid the change is. A scatterplot is a graph consisting of isolated points, with each dot corresponding to a data point. To make a line graph, we begin with a scatterplot and join the adjacent points with straight line segments.

Quantitative Literacy Copyright © 2012 by W.H. Freeman and Company

Chapter 2 Analysis of Growth 2.2 Graphs: Picturing growth 5 Interpreting line graphs: Growth rates and graphs 1.The growth rate of data is reflected in the steepness of the graph. Steeper graphs indicate a growth rate of greater magnitude. 2.An increasing graph indicates a positive growth rate, and a decreasing graph indicates a negative growth rate.

Chapter 2 Analysis of Growth 2.2 Graphs: Picturing growth 6 In practical settings, the growth rate has a familiar meaning. Example: The graph in Figure 2.24 shows a population that increases from a time and then begins to decrease. The growth rate in this context is the rate of population growth. The growth rate is positive in Year0. It remains positive until we reach Year3, where the growth rate is 0. Beyond Year3 the growth rate gets negative through Year5.

Chapter 2 Analysis of Growth 2.2 Graphs: Picturing growth 7 Example: The line graph in Figure 2.18 shows the yearly gross income in thousands of dollars for a small business from 2002 through Explain what this graph says about the rate of growth of yearly income.

Quantitative Literacy Copyright © 2012 by W.H. Freeman and Company

Chapter 2 Analysis of Growth 2.2 Graphs: Picturing growth 9 A smooth line graph is made from a scatterplot by joining data points smoothly with curves instead of line segments. Example: The graph of the amount of toxic waste remaining as a function of time is decreasing at a decreasing rate. Sketch an appropriate graph for the amount of toxic waste remaining as a function of time. Solution:

Quantitative Literacy Copyright © 2012 by W.H. Freeman and Company