Graphing A Practical Art. Graphing Examples Categorical Variables.

Slides:



Advertisements
Similar presentations
Step 1Step 2 Step 3 Done! Click on any of the 4 boxes to proceed! Chart Selection Do any of these words represent your intention? Step 1: Exit.
Advertisements

Displaying Data Objectives: Students should know the typical graphical displays for the different types of variables. Students should understand how frequency.
Introduction to Stats Honors Analysis. Data Analysis Individuals: Objects described by a set of data. (Ex: People, animals, things) Variable: Any characteristic.
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.
KNOWING WHICH TYPE OF GRAPH TO USE IN RESEARCH A foolproof guide to selecting the right image to convey your important message!
Descriptive Statistics Summarizing data using graphs.
12 FURTHER MATHEMATICS Organising and Displaying Data.
Stem and Leaf Display Stem and Leaf displays are an “in between” a table and a graph – They contain two columns: – The left column contains the first digit.
Ch. 2: The Art of Presenting Data Data in raw form are usually not easy to use for decision making. Some type of organization is needed Table and Graph.
Types of Graph And when to use them!.
Is it what it is. Depending on the data type, we can use different types of display. When dealing with categorical (nominal) data we often use a.
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.
Statistics - Descriptive statistics 2013/09/23. Data and statistics Statistics is the art of collecting, analyzing, presenting, and interpreting data.
Graphing Examples Categorical Variables
Graphing in Science. Types of Charts  Most scientific graphs are made as line graphs.  However, occasionally bar graphs, pie charts, or scatter plots.
What kind of graph should I make? Data Literacy Project Mini-lesson 1 (Instruction)
STATISTICAL GRAPHS.
CHAPTER 2 Graphical Descriptions of Data. SECTION 2.1 Frequency Distributions.
 Quantitative Numbers  Qualitative Descriptions.
Chapter 1 Review MDM 4U Mr. Lieff. 1.1 Displaying Data Visually Types of data Quantitative Discrete – only whole numbers are possible Continuous – decimals/fractions.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Chapter 2 Descriptive Statistics: Tabular and Graphical Methods.
Data Analysis Qualitative Data Data that when collected is descriptive in nature: Eye colour, Hair colour Quantitative Data Data that when collected is.
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.
Sec 1.5 Scatter Plots and Least Squares Lines Come in & plot your height (x-axis) and shoe size (y-axis) on the graph. Add your coordinate point to the.
Graphs, Charts and Tables Describing Your Data. Frequency Distributions.
Copyright © 2010, 2007, 2004 Pearson Education, Inc. Section 2-2 Frequency Distributions.
Notes 9.6 – Statistics and Data - Graphically. I. Variables A.) Def: characteristics of individuals being identified or measured. 1.) CATEGORICAL – Class.
Unit 2 Section : More Graphs and Displays  Several types of graphs are used in statistics besides histograms, frequency polygons, and ogives.
Chapter 3 – Graphical Displays of Univariate Data Math 22 Introductory Statistics.
Week 1 Day 3 (2.1, 2.2, 2.3) Summarizing Data I. Step one You will need to determine the type of the variable to summarize, whether it is Qualitative.
Section 1-1 Day One Types of Data Bar Graphs, Pie Charts Dots Plots, Stem and leaf plots, Histograms.
MATH104 Chapter 12 Statistics 12.1 Intro Sampling, Frequency Distributions, and Graphs Terms: · Descriptive statistics · Inferential statistics.
Unit 1.2 – Descriptive Statistics Standard DeviationDegrees of FreedomVariance Rule Data TypesIndividualsCategoricalQuantitative Graphing Categorical.
Slide Slide 1 Section 2-4 Statistical Graphics. Slide Slide 2 Key Concept This section presents other graphs beyond histograms commonly used in statistical.
NAMES OF GROUPS TITLE. STATISTICAL QUESTION Your Question here. Why did you chose this question?
Research Methods: 2 M.Sc. Physiotherapy/Podiatry/Pain Graphs and Tables.
1 M04- Graphical Displays 2  Department of ISM, University of Alabama, 2003 Graphical Displays of Data.
Why Do We Use Them?.  Graphs and charts let us organize data in an easy to read way.  They allow us to make quick comparisons.  There are many types.
Chapter 1: Exploring Data Section 1: Displaying Data with Graphs.
Great way to show your data!. * In your journal, draw a 4 square grid.
Data Analysis. Data Analysis Discussion 1.Why are graphs, tables, and charts important? 2.What are the different ways in which you can represent data?
T YPES OF GRAPHS Pie chart: shows how a whole is divided into percents.
Ch. 3 Histograms In a histogram, the areas of the blocks represent percentages. –Example: Ex. Set B #3 Types of variables: –Qualitative vs. quantitative.
Unit 2 Test Topics: Statistics Honors Analysis. Conditional Probability Geometric Probability ◦ triangles ◦ triangles ◦Basic area formulas.
Graphs that Enlighten and Graphs that Deceive Chapter 2 Section 4.
Data Table and Graphing Notes. What information needs to be on the Data Tables? A) Number of Trials B) Column for the IV C) Column for the DV D) Units.
Using Appropriate Displays. The rabbit’s max speed is easier to find on the ________. The number of animals with 15 mph max speed or less was easier to.
Aim: How do scientist organize their experimental information?
Sec. 2.2 More Graphs and Displays Mr. Ricks Madison High School.
Lesson #19: Other Graphs— But What Type Are They?.
Descriptive Statistics: Tabular and Graphical Methods
2.2 More Graphs and Displays
Relative Cumulative Frequency Graphs
Descriptive Statistics
Elementary Applied Statistics
2.2 Bar Charts, Pie Charts, and Stem and Leaf Diagram
Statistical Reasoning
Lesson on Data Displays
Sample Column Chart- No Data Labels, no lines SOURCE:
Warm-up You record the age, marital status, and earned income of a sample of 1463 women. The number and type of variables you have recorded is (a) 3 quantitative, 0.
Give 2 examples of this type of variable.
Unit 2: Analyzing Univariate Data
Types of Graphs… and when to use them!.
y x y = x + 2 y = x + 4 y = x – 1 y = -x – 3 y = 2x y = ½x y = 3x + 1
Solution 7 1. a). The scatter plot or the residuals vs fits plot
Unit 2 – Graphical Representation
Histograms Learning Target
Displaying Distributions with Graphs
Trials & laws & Large Numbers (Large Number Theory)
Introduction to Types of Visual Displays
Presentation transcript:

Graphing A Practical Art

Graphing Examples Categorical Variables

Table

Pie Chart

Bar Graph

Bar Graph (Column Graph in Excel)

3D Bar Graph How many picked Marcos?

Bar Graph: Clustered

Bar Graph: Stacked

Graphing Examples Quantitative Variables

Stem and Leaf Plot Number of Windows Fall 2011 to Fall , 9 12, 4, 5, 7, 9, 9 20, 1, 3, 7, 7 30, 4,

Stem and Leaf Plot Number of Windows: Fall 2011 to Fall ,1,7,8,8,9 10,0,0,0,1,1,1,1,1,2,2,3,3,3,3,3,4,4,4,4,4,5,5,5,5,5,5,6,6,6,6,6,6,7,7,7,8,8,8,8,8,9,9 20,0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,3,3,3,4,4,5,5,5,5,5,5,6,6,6,7,7,7,7,7,8,8,9 30,0,0,0,0,0,0,0,0,0,1,1,2,2,2.5,3,4,5,5,5,5, 40,0,0,0,0,0,0,2,5,8, 50,0 60, *1 Non Response & 1 Non Adherer

Stem and Leaf Plot Number of Windows: Fall 2011 to Fall ,1 07,8,8,9 10,0,0,0,1,1,1,1,1,2,2,3,3,3,3,3,4,4,4,4,47 15,5,5,5,5,5,6,6,6,6,6,6,7,7,7,8,8,8,8,8,9,975 20,0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,3,3,3,480 25,5,5,5,5,5,6,6,6,7,7,7,7,7,8,8,98 30,0,0,0,0,0,0,0,0,0,1,1,2,2,2.5,3,49 35,5,5,5,9 40,0,0,0,0,0,0, ,8, 50,0 5 60,0 6

Histogram

Dot Plot

What’s Wrong?

Scatter Plots

When Not to Zoom

When to Zoom

Numbers from Measurement = Points, No Line Numbers from Equation = Line, No Points

Log Plot (look at y-axis)

Surface Plot