Types of Graph And when to use them!.

Slides:



Advertisements
Similar presentations
Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.
Advertisements

So What Do We Know? Variables can be classified as qualitative/categorical or quantitative. The context of the data we work with is very important. Always.
Copyright © 2014, 2011 Pearson Education, Inc. 1 Active Learning Lecture Slides For use with Classroom Response Systems Chapter 3 Describing Categorical.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. Section 2-4 Statistical Graphics.
Copyright © 2013, 2009, and 2007, Pearson Education, Inc. Chapter 2 Exploring Data with Graphs and Numerical Summaries Section 2.2 Graphical Summaries.
Bar Graphs and Line Graphs Lesson 7-4. Bar Graph A bar graph uses vertical or horizontal bars to display numerical information. Bar graphs can be used.
Reading Graphs and Charts are more attractive and easy to understand than tables enable the reader to ‘see’ patterns in the data are easy to use for comparisons.
12 FURTHER MATHEMATICS Organising and Displaying Data.
Types of Data Displays Based on the 2008 AZ State Mathematics Standard.
Section 3.2 ~ Picturing Distributions of Data
Presentation of Data.
2-3.  In addition to the histogram, the frequency polygon, and the ogive, several other types of graphs are often used in statistics. They are the bar.
Derived from:  Line graphs are used to track changes over short and long periods of time.  Line graphs can also be used to compare.
Graphing Examples Categorical Variables
Graphing A Practical Art. Graphing Examples Categorical Variables.
3. Data Presentation Graphs & Charts.
Basic Descriptive Statistics Percentages and Proportions Ratios and Rates Frequency Distributions: An Introduction Frequency Distributions for Variables.
Copyright © Cengage Learning. All rights reserved. 2 Organizing Data.
Graphing Review Part 2 Types of Graphs.
 Quantitative Numbers  Qualitative Descriptions.
Statistical Reasoning for everyday life
CHAPTER 7: Exploring Data: Part I Review
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 2 Descriptive Statistics: Tabular and Graphical Methods.
Chapter 2 Section 2.1: Organizing qualitative data Section 2.2: Organizing quantitative data Section 2.3: skip Section 2.4: Misrepresentations of data.
Section 2.2: More Graphs and Displays. Objective: To be able to create and analyze a variety of graphical displays. 5. Stem and leaf plot: a way of viewing.
Copyright © 2014 Pearson Education. All rights reserved Picturing Distributions of Data LEARNING GOAL Be able to create and interpret basic.
Graphs, Charts and Tables Describing Your Data. Frequency Distributions.
Section 2.2 Bar Graphs, Circle Graphs, and Time-Series Graphs 2.2 / 1.
Statistics Chapter 1: Exploring Data. 1.1 Displaying Distributions with Graphs Individuals Objects that are described by a set of data Variables Any characteristic.
Excel Charts. Column Chart The Column Chart will show the comparison of one or more series of data points. It is specially useful in comparing multiple.
Section 2-4 Other types of graphs.  Pareto chart  time series graph  pie graph.
Section 2.2b Graphical Displays of Distributions.
Math 145 September 11, Recap  Individuals – are the objects described by a set of data. Individuals may be people, but they may also be animals.
GRAPHING A “PICTURE” OF THE RELATIONSHIP BETWEEN THE INDEPENDENT AND DEPENDENT VARIABLES.
Types of Graphs.
1 M04- Graphical Displays 2  Department of ISM, University of Alabama, 2003 Graphical Displays of Data.
MM07 Statistics Welcome to the Unit 3 Seminar Dr. Bob.
Copyright © 2014 Pearson Education. All rights reserved Picturing Distributions of Data LEARNING GOAL Be able to create and interpret basic.
Statistical Fundamentals: Using Microsoft Excel for Univariate and Bivariate Analysis Alfred P. Rovai Charts Overview PowerPoint Prepared by Alfred P.
GRAPHING NOTES Understanding and constructing graphs.
Unit 2 Test Topics: Statistics Honors Analysis. Conditional Probability Geometric Probability ◦ triangles ◦ triangles ◦Basic area formulas.
Sullivan – Fundamentals of Statistics – 2 nd Edition – Chapter 2 Section 2 – Slide 1 of 37 Chapter 2 Section 2 Organizing Quantitative Data.
1.4 Graphs for Quantitative Data Chapter 1 (Page 17)
Section 12.2 Picturing Data Math in Our World. Learning Objectives  Draw bar graphs and pie charts.  Draw histograms and frequency polygons.  Draw.
Histograms, Frequency Polygons, and Ogives 2-2 Graphs Note: This PowerPoint is only a summary and your main source should be the book. Instructor: Alaa.
Chapter 5: Organizing and Displaying Data. Learning Objectives Demonstrate techniques for showing data in graphical presentation formats Choose the best.
By Christy Quattrone Click to View Types of Graphs Data Analysis, Grade 5.
Copyright © 2009 Pearson Education, Inc. 3.2 Picturing Distributions of Data LEARNING GOAL Be able to create and interpret basic bar graphs, dotplots,
Graphs that Enlighten and Graphs that Deceive Chapter 2 Section 4.
Data Coaching Services Chart Interpretation 1. o Bar o Stacked Bar o Pie o Line o Scatter plot 2.
Lesson #19: Other Graphs— But What Type Are They?.
Types of variables Discrete VS Continuous Discrete Continuous
2.2 More Graphs and Displays
Bar Graphs and Line Graphs
Section 3.4: Displaying Bivariate Numerical Data
Graphs Earth Science.
3 2 Chapter Organizing and Summarizing Data
Statistical Reasoning
Ms jorgensen Unit 1: Statistics and Graphical Representations
Statistical Tables and Graphs
LESSON 2: FREQUENCY DISTRIBUTION
Bar Graphs, Circle Graphs, and Time-Series Graphs
Unit 2: Analyzing Univariate Data
Types of Graphs… and when to use them!.
Chapter-2: Measurements Dr. Chirie Sumanasekera
Which graph should I use?
Graphing Introduction Notes
Bell Ringer When completing an experiment, you are testing your hypothesis. What are the three kinds of variables that you need to identify in your experiments?
Organizing, Displaying and Interpreting Data
Charts Session 5.
Presentation transcript:

Types of Graph And when to use them!

Line Graph

Line Graph Used to show trends Variable plotted on X (bottom) musts be continuous Common type is “time series” where X = time CANNOT be used to graph data where X is discrete

Scatterplot

Scatterplot Used to show relationships between variables X variable must be continuous If one variable is believed to cause or explain changes in the other, that variable is plotted on the X

Bar Graph

Bar Graph Used to compare amounts or frequencies in data that represents different categories (discrete data sets) Categorical data set is plotted on X, quantitative (continuous) on the Y Often used incorrectly to graph data with continuous X variables

Histogram

Histogram Used when discrete X is converted to categories (“bins”) Y represents frequency of data within each “bin”

Pie Chart

Pie Chart Used for same kind of data as bar chart Each slice = data category Slice size shows relative proportion of observations within each category

Summary: Types of Graph Graph type Use Line graph Connects dots with lines Used for continuous X data Show patterns or trends If time = X, time-series graph Scatterplot Display/assess relationship between variables Bar graph Used to show patterns Should only be used when X data are categorical

Graph type Description Histogram Similar to bar graph, but used when continuous X data are converted to categories Pie chart Compares small number of categories. Works best if values are very different. If similar, should label pie segments with actual values