Use of graphics in SPSS. Download the BECK SPSS dataset Access the course Blackboard site to obtain the dataset. 2.

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.

KNOWING WHICH TYPE OF GRAPH TO USE IN RESEARCH A foolproof guide to selecting the right image to convey your important message!

Statistics for the Behavioral Sciences Frequency Distributions

Fundamental Features of Graphs All graphs have two, clearly-labeled axes that are drawn at a right angle. –The horizontal axis is the abscissa, or X-axis.

Graphic representations in statistics (part II). Statistics graph Data recorded in surveys are displayed by a statistical graph. There are some specific.

Psy302 Quantitative Methods

Social Science Research Design and Statistics, 2/e Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Creating a Histogram Using Chart Builder PowerPoint.

The controlled assessment is worth 25% of the GCSE The project has three stages; 1. Planning 2. Collecting, processing and representing data 3. Interpreting.

12 FURTHER MATHEMATICS Organising and Displaying Data.

Frequency distributions and their graphs Frequency distribution tables give the number if instances of each value in a distribution. Frequency distribution.

Dr. Michael R. Hyman, NMSU Graphical Representation of Data.

DESCRIBING DATA: 1. FREQUENCIES and FREQUENCY DISTRIBUTIONS.

Total Population of Age (Years) of People that Smoke

SW318 Social Work Statistics Slide 1 Using SPSS for Graphic Presentation  Various Graphics in SPSS  Pie chart  Bar chart  Histogram  Area chart 

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.

Graphical Representation of Information

Frequency Tables and Data This represents all of the earthquakes above 6.0 on the Richter Scale between Feb 1, 2005 and Mar. 30,

Social Science Research Design and Statistics, 2/e Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Evaluating Bivariate Normality PowerPoint Prepared.

IPC Notes: Graphing.

Statistics - Descriptive statistics 2013/09/23. Data and statistics Statistics is the art of collecting, analyzing, presenting, and interpreting data.

By: Jade Wright, Garth Lo Bello, Andrew Roberts, Prue Tinsey and Tania Young.

Examining Univariate Distributions Chapter 2 SHARON LAWNER WEINBERG SARAH KNAPP ABRAMOWITZ StatisticsSPSS An Integrative Approach SECOND EDITION Using.

How to build graphs, charts and plots. For Categorical data If the data is nominal, then: Few values: Pie Chart Many Values: Pareto Chart (order of bars.

Distributions & Graphs. Variable Types Discrete (nominal) Discrete (nominal) Sex, race, football numbers Sex, race, football numbers Continuous (interval,

Data Handling GCSE coursework. Hypothesis Collection of Data Data Handling GCSE coursework Hypothesis.

3. Data Presentation Graphs & Charts.

Graphing. The Important Elements of a Graph  Horizontal Axis (X-Axis)  The Independent Variable. A change in this variable affects the y variable. 

Quantitative Skills 1: Graphing

Univariate Data Chapters 1-6. UNIVARIATE DATA Categorical Data Percentages Frequency Distribution, Contingency Table, Relative Frequency Bar Charts (Always.

Data Analysis Qualitative Data Data that when collected is descriptive in nature: Eye colour, Hair colour Quantitative Data Data that when collected is.

Wednesday, May 13, 2015 Report at 11:30 to Prairieview.

Data Lab # 2 Descriptive Statistics May 28, 2008 Ivan Katchanovski, Ph.D. POL 242Y-Y.

Graphs, Charts and Tables Describing Your Data. Frequency Distributions.

Chapter 8 Making Sense of Data in Six Sigma and Lean

Total Population of Age (Years) of People. Pie Chart of Males and Females that Smoke Systematic Gender Sample Total Population: 32.

GRASPING GRAPHING. Graphs are visual representations of data you collect in an experiment. There are many types of graphs including: bar, line, scatter.

Statistical Analysis using SPSS Dr.Shaikh Shaffi Ahamed Asst. Professor Dept. of Family & Community Medicine.

Type of data FETP India Describing. Competency to be gained from this lecture Identify the different types of data to use appropriate methods to describe.

The field of statistics deals with the collection,

NAMES OF GROUPS TITLE. STATISTICAL QUESTION Your Question here. Why did you chose this question?

Organizing & Reporting Data: An Intro Statistical analysis works with data sets  A collection of data values on some variables recorded on a number cases.

2- 1 Chapter Two McGraw-Hill/Irwin © 2006 The McGraw-Hill Companies, Inc., All Rights Reserved.

Presenting Data in Charts, Graphs and Tables #1-8-1.

AP Statistics Wednesday, 09 September 2015 OBJECTIVE TSW review for Friday’s test over Chapter 1 – 3.

Histograms, Frequency Polygons, and Ogives

Statistics with TI-Nspire™ Technology Module E Lesson 1: Elementary concepts.

How to build graphs, charts and plots. For Categorical data If the data is nominal, then: Few values: Pie Chart Many Values: Pareto Chart (order of bars.

MATHS CORE AND OPTIONAL ASSESSMENT STANDARDS Found in the Subject Assessment Guidelines (SAG) Dated January 2008.

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

Chapter 5: Organizing and Displaying Data. Learning Objectives Demonstrate techniques for showing data in graphical presentation formats Choose the best.

Graphs with SPSS Aravinda Guntupalli. Bar charts  Bar Charts are used for graphical representation of Nominal and Ordinal data  Height of the bar is.

1 By maintaining a good heart at every moment, every day is a good day. If we always have good thoughts, then any time, any thing or any location is auspicious.

Creating a picture of your data

EXPLORATORY DATA ANALYSIS and DESCRIPTIVE STATISTICS

Chapter 1 A Review of Basic Concepts (Optional).

Module 6: Descriptive Statistics

Statistical Reasoning

Chapter 2 Describing Data: Graphs and Tables

Evaluating Bivariate Normality

Tell a Story with the Data

Organizing and Displaying Data

បំណែងចែកប្រេកង់ និងក្រាភិច

Statistics PSY302 Review Quiz

Analysing quantitative data

Chapter-2: Measurements Dr. Chirie Sumanasekera

SPSS (Statistical Package for Social Science)

Displaying Data – Charts & Graphs

Presentation transcript:

Use of graphics in SPSS

Download the BECK SPSS dataset Access the course Blackboard site to obtain the dataset. 2

Box plot Graphic representation of a frequency Includes the IQR Used for scalar and quasi-scalar variables Can be grouped 3 Plot the student’s academic ability (AA) grouped by her or his motivation

Scatter plot Bivariate – scalar by scalar May include a “fit line” May be grouped 4 Plot the student’s academic ability (AA) by the parents’ education, grouped by sex

Histogram For scalar or quasi-scalar variables Can display the normal curve Can be grouped Can be horizontal (e.g. population pyramid) 5 Plot the student’s academic ability (AA) with a normal curve. Also create a pyramid showing the academic ability by sex.

Bar graph Ordinal or nominal variables Bi-variate chart Can be in three dimensions 6 Plot the advisor’s evaluation (AE) by sex

Pie chart Distribution of the values in a variable Nominal or ordinal Keep them simple 7 Plot the student’s motivation (SM) by community type.

How to edit and export charts 8