Allelopathic Effects on Root and Shoot Growth: One-Way Analysis of Variance (ANOVA) in SPSS. Dan Flynn

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Allelopathic Effects on Root and Shoot Growth: One-Way Analysis of Variance (ANOVA) in SPSS. Dan Flynn"

Transcription

1 Allelopathic Effects on Root and Shoot Growth: One-Way Analysis of Variance (ANOVA) in SPSS Dan Flynn Just as t-tests are useful for asking whether the means of two groups are different, analysis of variance (affectionately known as ANOVA) can answer the question of whether the means of many groups differ from each other. Biologists find ANOVA useful because we often design experiments with many treatments (such as different drugs), and then want to know whether some variable (such as the proliferation of cancer cells) is different between experimental groups. Preparing the Data In this example, we will look at the allelopathy data you collected. There are a few details about working with SPSS that require reformatting the data, before starting the analysis. In Excel, open classseeddata.xls, and add a worksheet for each of the target species (lettuce, rye, and radish). SPSS needs the data to be in long format, meaning each row is a separate experimental unit (a seed in this case). The final format will look like this: The easiest way to do this is just to cut and paste your data (and use Edit > Fill > Down in Excel). One important point is that SPSS needs to have the treatment groups be labeled with numbers, not letters (in SPSS, this is called a numeric explanatory variable, as opposed to a string ). The Code variable specifies the species of herb you tested. Now open up the data for one of the target species (like lettuce) in SPSS. Notice the tab on the bottom of the window, called Variable View. Click that and you can see how SPSS is treating each of the columns in the data set.

2 Click on Code and enter labels in the Values box to make the results easier to interpret. This will make the actual names, rather than the numeric values, show up in the analysis results. Running ANOVA in SPSS Now that the data are ready, you can begin the ANOVA. Go to Analyze > Compare Means > One-way ANOVA. Select the variable you want to look at and put it in the Dependent List. You can choose more than one variable to analyze, both root and shoot for example. The Factor is your independent variable, which will define the groups to compare. 2

3 Note: There is only one variable allowed in the Factor box; this is what is meant by a "one-way" ANOVA, since we are looking at how a single categorical variable explains the variance in a continuous variable. Reading the Output The SPSS output for ANOVA is detailed, but the main results are fairly concise. The last column of the ANOVA table is the significance value, or the p-value: if it is below 0.05, we can reject the null hypothesis that there is no difference between the group means; if p < 0.05, we can say that there is a significant difference between means. [The literal meaning of any p-value of 0.05 is that if we repeated the experiment 100 times, in only 5 of the 100 tests would we observe a result like the one we just saw by chance alone. So it is not the same as saying we are 95% sure the result differs from the null hypothesis.] Shoot ANOVA Sum of Squares df Mean Square F Sig. Between Groups Within Groups Total A cleaned-up version that gives the most important information would look like this: df Sum of Squares Mean Square F p Seed treatment <0.001 Residuals Note that the "within groups" line can be renamed "residuals." It represents the amount of variation not explained by the treatment, which can be renamed here as "Seed treatment". Now that we know that there is an overall difference across all three groups, we want to know exactly what the difference is. In order to do this, we go through the steps to re-do the ANOVA. Only this time, in the "One-way ANOVA" window select the Post Hoc button. Post hoc means after this in Latin, and refers to tests we do after the fact to see how, knowing that the main effect is significant, each treatment level relates to the others. If the main effect is not significant, post hoc tests are not useful. 3

4 In the post hoc window, select Tukey (for Tukey's honestly significant difference, HSD) and click Continue and then OK. Notice that there are lots of different tests we could choose from, and they may give you slightly different values. The resulting table takes some time to interpret just the first part of the table is reproduced below. The table shows that lettuce seeds grown in the control treatment had significantly greater shoot growth than those grown with rosemary and cilantro, and significantly less than those grown with sage. Seeds grown with oregano did not differ from the controls. Shoot Tukey HSD (I) Code (J) Code Control Multiple Comparisons 95% Confidence Interval Mean Difference (I-J) Std. Error Sig. Lower Bound Upper Bound Oregano Rosemary * Cilantro * Sage * *. The mean difference is significant at the 0.05 level. Note: If your table has cells filled with *******, this means that there are too many digits for SPSS to display. You can double-click the chart to make it editable, and then drag columns wider to make the values visible. You would not report this table in your results, but use it to interpret the main result. It will be much easier to do this while looking at a graph of the results, explained below. 4

5 Graphing Your Data with Bar Charts Whenever comparing groups of cases by some single continuous variable, bar charts are preferred. This is true for cases where you did a t-test to compare two groups, or where you did an ANOVA to compare three or more groups. The easiest way to make this graph is in Graphs > Chart Builder. 5

6 For a one-way ANOVA, you want to use the simple bar chart, the first option. Drag the appropriate variables to the x and y axes. To add error bars, click "Display error bars" in the Element Properties window and set it to 1 standard error. You can edit it to change the labels, fonts, colors, and line widths by double-clicking the chart in the Output viewer. For example, you can set the background color and box color to white for a cleaner graph (as below). To make a box plot, which shows more information about how the data are distributed within each treatment group, go back to the Chart Builder and select the simple Boxplot option. Box plots show the median as a horizontal line in the middle, the 25 th and 75 th percentiles as edges of the box, and the 5 th and 95 th percentiles as the "whiskers". Any points beyond these values are shown as points. 6

Chi-square test: Germination data Dan Flynn

Chi-square test: Germination data Dan Flynn Chi-square test: Germination data Dan Flynn This lab examines whether the germination rates of lettuce seeds differed across the herb treatments. The Chi-square test is one of the standard methods for

More information

c. The factor is the type of TV program that was watched. The treatment is the embedded commercials in the TV programs.

c. The factor is the type of TV program that was watched. The treatment is the embedded commercials in the TV programs. STAT E-150 - Statistical Methods Assignment 9 Solutions Exercises 12.8, 12.13, 12.75 For each test: Include appropriate graphs to see that the conditions are met. Use Tukey's Honestly Significant Difference

More information

Using SPSS, Chapter 2: Descriptive Statistics

Using SPSS, Chapter 2: Descriptive Statistics 1 Using SPSS, Chapter 2: Descriptive Statistics Chapters 2.1 & 2.2 Descriptive Statistics 2 Mean, Standard Deviation, Variance, Range, Minimum, Maximum 2 Mean, Median, Mode, Standard Deviation, Variance,

More information

Chapter 5 Analysis of variance SPSS Analysis of variance

Chapter 5 Analysis of variance SPSS Analysis of variance Chapter 5 Analysis of variance SPSS Analysis of variance Data file used: gss.sav How to get there: Analyze Compare Means One-way ANOVA To test the null hypothesis that several population means are equal,

More information

SPSS Guide: Tests of Differences

SPSS Guide: Tests of Differences SPSS Guide: Tests of Differences I put this together to give you a step-by-step guide for replicating what we did in the computer lab. It should help you run the tests we covered. The best way to get familiar

More information

One-Way ANOVA using SPSS 11.0. SPSS ANOVA procedures found in the Compare Means analyses. Specifically, we demonstrate

One-Way ANOVA using SPSS 11.0. SPSS ANOVA procedures found in the Compare Means analyses. Specifically, we demonstrate 1 One-Way ANOVA using SPSS 11.0 This section covers steps for testing the difference between three or more group means using the SPSS ANOVA procedures found in the Compare Means analyses. Specifically,

More information

SPSS for Exploratory Data Analysis Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav)

SPSS for Exploratory Data Analysis Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav) Data used in this guide: studentp.sav (http://people.ysu.edu/~gchang/stat/studentp.sav) Organize and Display One Quantitative Variable (Descriptive Statistics, Boxplot & Histogram) 1. Move the mouse pointer

More information

ABSORBENCY OF PAPER TOWELS

ABSORBENCY OF PAPER TOWELS ABSORBENCY OF PAPER TOWELS 15. Brief Version of the Case Study 15.1 Problem Formulation 15.2 Selection of Factors 15.3 Obtaining Random Samples of Paper Towels 15.4 How will the Absorbency be measured?

More information

INTERPRETING THE ONE-WAY ANALYSIS OF VARIANCE (ANOVA)

INTERPRETING THE ONE-WAY ANALYSIS OF VARIANCE (ANOVA) INTERPRETING THE ONE-WAY ANALYSIS OF VARIANCE (ANOVA) As with other parametric statistics, we begin the one-way ANOVA with a test of the underlying assumptions. Our first assumption is the assumption of

More information

A Guide for a Selection of SPSS Functions

A Guide for a Selection of SPSS Functions A Guide for a Selection of SPSS Functions IBM SPSS Statistics 19 Compiled by Beth Gaedy, Math Specialist, Viterbo University - 2012 Using documents prepared by Drs. Sheldon Lee, Marcus Saegrove, Jennifer

More information

ID X Y

ID X Y Dale Berger SPSS Step-by-Step Regression Introduction: MRC01 This step-by-step example shows how to enter data into SPSS and conduct a simple regression analysis to develop an equation to predict from.

More information

The scatterplot indicates a positive linear relationship between waist size and body fat percentage:

The scatterplot indicates a positive linear relationship between waist size and body fat percentage: STAT E-150 Statistical Methods Multiple Regression Three percent of a man's body is essential fat, which is necessary for a healthy body. However, too much body fat can be dangerous. For men between the

More information

Technology Step-by-Step Using StatCrunch

Technology Step-by-Step Using StatCrunch Technology Step-by-Step Using StatCrunch Section 1.3 Simple Random Sampling 1. Select Data, highlight Simulate Data, then highlight Discrete Uniform. 2. Fill in the following window with the appropriate

More information

SPSS Explore procedure

SPSS Explore procedure SPSS Explore procedure One useful function in SPSS is the Explore procedure, which will produce histograms, boxplots, stem-and-leaf plots and extensive descriptive statistics. To run the Explore procedure,

More information

HOW TO USE MINITAB: INTRODUCTION AND BASICS. Noelle M. Richard 08/27/14

HOW TO USE MINITAB: INTRODUCTION AND BASICS. Noelle M. Richard 08/27/14 HOW TO USE MINITAB: INTRODUCTION AND BASICS 1 Noelle M. Richard 08/27/14 CONTENTS * Click on the links to jump to that page in the presentation. * 1. Minitab Environment 2. Uploading Data to Minitab/Saving

More information

NCSS Statistical Software

NCSS Statistical Software Chapter 155 Introduction graphically display tables of means (or medians) and variability. Following are examples of the types of charts produced by this procedure. The error bars may represent the standard

More information

Scatter Plots with Error Bars

Scatter Plots with Error Bars Chapter 165 Scatter Plots with Error Bars Introduction The procedure extends the capability of the basic scatter plot by allowing you to plot the variability in Y and X corresponding to each point. Each

More information

Two Related Samples t Test

Two Related Samples t Test Two Related Samples t Test In this example 1 students saw five pictures of attractive people and five pictures of unattractive people. For each picture, the students rated the friendliness of the person

More information

Simple Linear Regression One Binary Categorical Independent Variable

Simple Linear Regression One Binary Categorical Independent Variable Simple Linear Regression Does sex influence mean GCSE score? In order to answer the question posed above, we want to run a linear regression of sgcseptsnew against sgender, which is a binary categorical

More information

For example, enter the following data in three COLUMNS in a new View window.

For example, enter the following data in three COLUMNS in a new View window. Statistics with Statview - 18 Paired t-test A paired t-test compares two groups of measurements when the data in the two groups are in some way paired between the groups (e.g., before and after on the

More information

SPSS Tests for Versions 9 to 13

SPSS Tests for Versions 9 to 13 SPSS Tests for Versions 9 to 13 Chapter 2 Descriptive Statistic (including median) Choose Analyze Descriptive statistics Frequencies... Click on variable(s) then press to move to into Variable(s): list

More information

SCHOOL OF HEALTH AND HUMAN SCIENCES DON T FORGET TO RECODE YOUR MISSING VALUES

SCHOOL OF HEALTH AND HUMAN SCIENCES DON T FORGET TO RECODE YOUR MISSING VALUES SCHOOL OF HEALTH AND HUMAN SCIENCES Using SPSS Topics addressed today: 1. Differences between groups 2. Graphing Use the s4data.sav file for the first part of this session. DON T FORGET TO RECODE YOUR

More information

Creating Simple Tables and Charts using Microsoft Excel 2013

Creating Simple Tables and Charts using Microsoft Excel 2013 2015 Bow Valley College 1 Microsoft Excel Vocabulary Creating Simple Tables and Charts using Microsoft Excel 2013 Column: A grouping of information or data organized from top to bottom. In Excel columns

More information

SAS / INSIGHT. ShortCourse Handout

SAS / INSIGHT. ShortCourse Handout SAS / INSIGHT ShortCourse Handout February 2005 Copyright 2005 Heide Mansouri, Technology Support, Texas Tech University. ALL RIGHTS RESERVED. Members of Texas Tech University or Texas Tech Health Sciences

More information

Mixed 2 x 3 ANOVA. Notes

Mixed 2 x 3 ANOVA. Notes Mixed 2 x 3 ANOVA This section explains how to perform an ANOVA when one of the variables takes the form of repeated measures and the other variable is between-subjects that is, independent groups of participants

More information

Data analysis. Data analysis in Excel using Windows 7/Office 2010

Data analysis. Data analysis in Excel using Windows 7/Office 2010 Data analysis Data analysis in Excel using Windows 7/Office 2010 Open the Data tab in Excel If Data Analysis is not visible along the top toolbar then do the following: o Right click anywhere on the toolbar

More information

Testing Hypotheses using SPSS

Testing Hypotheses using SPSS Is the mean hourly rate of male workers $2.00? T-Test One-Sample Statistics Std. Error N Mean Std. Deviation Mean 2997 2.0522 6.6282.2 One-Sample Test Test Value = 2 95% Confidence Interval Mean of the

More information

Using SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss

Using SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss Using SPSS version 14 Joel Elliott, Jennifer Burnaford, Stacey Weiss SPSS is a program that is very easy to learn and is also very powerful. This manual is designed to introduce you to the program however,

More information

General Guidelines about SPSS. Steps needed to enter the data in the SPSS

General Guidelines about SPSS. Steps needed to enter the data in the SPSS General Guidelines about SPSS The entered data has to be numbers and not letters. For example, in the Gender section, we can not write Male and Female in the answers, however, we must give them a code.

More information

Comments 2 For Discussion Sheet 2 and Worksheet 2 Frequency Distributions and Histograms

Comments 2 For Discussion Sheet 2 and Worksheet 2 Frequency Distributions and Histograms Comments 2 For Discussion Sheet 2 and Worksheet 2 Frequency Distributions and Histograms Discussion Sheet 2 We have studied graphs (charts) used to represent categorical data. We now want to look at a

More information

An introduction to IBM SPSS Statistics

An introduction to IBM SPSS Statistics An introduction to IBM SPSS Statistics Contents 1 Introduction... 1 2 Entering your data... 2 3 Preparing your data for analysis... 10 4 Exploring your data: univariate analysis... 14 5 Generating descriptive

More information

Factor B: Curriculum New Math Control Curriculum (B (B 1 ) Overall Mean (marginal) Females (A 1 ) Factor A: Gender Males (A 2) X 21

Factor B: Curriculum New Math Control Curriculum (B (B 1 ) Overall Mean (marginal) Females (A 1 ) Factor A: Gender Males (A 2) X 21 1 Factorial ANOVA The ANOVA designs we have dealt with up to this point, known as simple ANOVA or oneway ANOVA, had only one independent grouping variable or factor. However, oftentimes a researcher has

More information

Directions for Chi-Square for One and for Two Variables Datasets: One_way_chi_square.sav and Two_way_Chi_square.sav. One-way Chi-square

Directions for Chi-Square for One and for Two Variables Datasets: One_way_chi_square.sav and Two_way_Chi_square.sav. One-way Chi-square Directions for Chi-Square for One and for Two Variables Datasets: One_way_chi_square.sav and Two_way_Chi_square.sav One-way Chi-square 1. Open the dataset containing the already grouped frequency of student

More information

A Basic Guide to Analyzing Individual Scores Data with SPSS

A Basic Guide to Analyzing Individual Scores Data with SPSS A Basic Guide to Analyzing Individual Scores Data with SPSS Step 1. Clean the data file Open the Excel file with your data. You may get the following message: If you get this message, click yes. Delete

More information

KSTAT MINI-MANUAL. Decision Sciences 434 Kellogg Graduate School of Management

KSTAT MINI-MANUAL. Decision Sciences 434 Kellogg Graduate School of Management KSTAT MINI-MANUAL Decision Sciences 434 Kellogg Graduate School of Management Kstat is a set of macros added to Excel and it will enable you to do the statistics required for this course very easily. To

More information

There are six different windows that can be opened when using SPSS. The following will give a description of each of them.

There are six different windows that can be opened when using SPSS. The following will give a description of each of them. SPSS Basics Tutorial 1: SPSS Windows There are six different windows that can be opened when using SPSS. The following will give a description of each of them. The Data Editor The Data Editor is a spreadsheet

More information

Projects Involving Statistics (& SPSS)

Projects Involving Statistics (& SPSS) Projects Involving Statistics (& SPSS) Academic Skills Advice Starting a project which involves using statistics can feel confusing as there seems to be many different things you can do (charts, graphs,

More information

Simple Linear Regression Excel 2010 Tutorial

Simple Linear Regression Excel 2010 Tutorial Simple Linear Regression Excel 2010 Tutorial This tutorial combines information on how to obtain regression output for Simple Linear Regression from Excel and some aspects of understanding what the output

More information

Contrasts and Post Hoc Tests for One-Way Independent ANOVA Using SPSS

Contrasts and Post Hoc Tests for One-Way Independent ANOVA Using SPSS Contrasts and Post Hoc Tests for One-Way Independent ANOVA Using SPSS Running the Analysis In last week s lecture we came across an example, from Field (2013), about the drug Viagra, which is a sexual

More information

An SPSS companion book. Basic Practice of Statistics

An SPSS companion book. Basic Practice of Statistics An SPSS companion book to Basic Practice of Statistics SPSS is owned by IBM. 6 th Edition. Basic Practice of Statistics 6 th Edition by David S. Moore, William I. Notz, Michael A. Flinger. Published by

More information

NCSS Statistical Software

NCSS Statistical Software Chapter 142 Introduction The pie chart is constructed by dividing a circle into two or more sections or slices. The chart is used to show the proportion that each part is of the whole. Hence, it should

More information

Independent t- Test (Comparing Two Means)

Independent t- Test (Comparing Two Means) Independent t- Test (Comparing Two Means) The objectives of this lesson are to learn: the definition/purpose of independent t-test when to use the independent t-test the use of SPSS to complete an independent

More information

Chapter 23. Inferences for Regression

Chapter 23. Inferences for Regression Chapter 23. Inferences for Regression Topics covered in this chapter: Simple Linear Regression Simple Linear Regression Example 23.1: Crying and IQ The Problem: Infants who cry easily may be more easily

More information

The Chi-Square Goodness-of-Fit Test, Equal Proportions

The Chi-Square Goodness-of-Fit Test, Equal Proportions Chapter 11 Chi-Square Tests 1 Chi-Square Tests Chapter 11 The Chi-Square Goodness-of-Fit Test, Equal Proportions A hospital wants to know if the proportion of births are the same for each day of the week.

More information

SPSS Manual for Introductory Applied Statistics: A Variable Approach

SPSS Manual for Introductory Applied Statistics: A Variable Approach SPSS Manual for Introductory Applied Statistics: A Variable Approach John Gabrosek Department of Statistics Grand Valley State University Allendale, MI USA August 2013 2 Copyright 2013 John Gabrosek. All

More information

Instructions for carrying out statistical procedures and tests using SPSS

Instructions for carrying out statistical procedures and tests using SPSS Instructions for carrying out statistical procedures and tests using SPSS These instructions are closely linked to the author s book: Essential Statistics for the Pharmaceutical Sciences John Wiley & Sons

More information

ANOVA - Analysis of Variance

ANOVA - Analysis of Variance ANOVA - Analysis of Variance ANOVA - Analysis of Variance Extends independent-samples t test Compares the means of groups of independent observations Don t be fooled by the name. ANOVA does not compare

More information

SPSS BASICS. (Data used in this tutorial: General Social Survey 2000 and 2002) Ex: Mother s Education to eliminate responses 97,98, 99;

SPSS BASICS. (Data used in this tutorial: General Social Survey 2000 and 2002) Ex: Mother s Education to eliminate responses 97,98, 99; SPSS BASICS (Data used in this tutorial: General Social Survey 2000 and 2002) How to do Recoding Eliminating Response Categories Ex: Mother s Education to eliminate responses 97,98, 99; When we run a frequency

More information

Minitab Guide. This packet contains: A Friendly Guide to Minitab. Minitab Step-By-Step

Minitab Guide. This packet contains: A Friendly Guide to Minitab. Minitab Step-By-Step Minitab Guide This packet contains: A Friendly Guide to Minitab An introduction to Minitab; including basic Minitab functions, how to create sets of data, and how to create and edit graphs of different

More information

4.4. Further Analysis within ANOVA

4.4. Further Analysis within ANOVA 4.4. Further Analysis within ANOVA 1) Estimation of the effects Fixed effects model: α i = µ i µ is estimated by a i = ( x i x) if H 0 : µ 1 = µ 2 = = µ k is rejected. Random effects model: If H 0 : σa

More information

The Dummy s Guide to Data Analysis Using SPSS

The Dummy s Guide to Data Analysis Using SPSS The Dummy s Guide to Data Analysis Using SPSS Mathematics 57 Scripps College Amy Gamble April, 2001 Amy Gamble 4/30/01 All Rights Rerserved TABLE OF CONTENTS PAGE Helpful Hints for All Tests...1 Tests

More information

When to use Excel. When NOT to use Excel 9/24/2014

When to use Excel. When NOT to use Excel 9/24/2014 Analyzing Quantitative Assessment Data with Excel October 2, 2014 Jeremy Penn, Ph.D. Director When to use Excel You want to quickly summarize or analyze your assessment data You want to create basic visual

More information

1.5 Oneway Analysis of Variance

1.5 Oneway Analysis of Variance Statistics: Rosie Cornish. 200. 1.5 Oneway Analysis of Variance 1 Introduction Oneway analysis of variance (ANOVA) is used to compare several means. This method is often used in scientific or medical experiments

More information

Module 9: Nonparametric Tests. The Applied Research Center

Module 9: Nonparametric Tests. The Applied Research Center Module 9: Nonparametric Tests The Applied Research Center Module 9 Overview } Nonparametric Tests } Parametric vs. Nonparametric Tests } Restrictions of Nonparametric Tests } One-Sample Chi-Square Test

More information

Simple Linear Regression in SPSS STAT 314

Simple Linear Regression in SPSS STAT 314 Simple Linear Regression in SPSS STAT 314 1. Ten Corvettes between 1 and 6 years old were randomly selected from last year s sales records in Virginia Beach, Virginia. The following data were obtained,

More information

Latin Square Design Analysis

Latin Square Design Analysis SPSS NOV for Latin Square esign Latin Square esign nalysis Goal: omparing the performance of four different brands of tires (,,, and ). ackground: There are four cars available for this comparative study

More information

Data Analysis Tools. Tools for Summarizing Data

Data Analysis Tools. Tools for Summarizing Data Data Analysis Tools This section of the notes is meant to introduce you to many of the tools that are provided by Excel under the Tools/Data Analysis menu item. If your computer does not have that tool

More information

Class 19: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.1)

Class 19: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.1) Spring 204 Class 9: Two Way Tables, Conditional Distributions, Chi-Square (Text: Sections 2.5; 9.) Big Picture: More than Two Samples In Chapter 7: We looked at quantitative variables and compared the

More information

One-Sample t-test. Example 1: Mortgage Process Time. Problem. Data set. Data collection. Tools

One-Sample t-test. Example 1: Mortgage Process Time. Problem. Data set. Data collection. Tools One-Sample t-test Example 1: Mortgage Process Time Problem A faster loan processing time produces higher productivity and greater customer satisfaction. A financial services institution wants to establish

More information

Lecture - 32 Regression Modelling Using SPSS

Lecture - 32 Regression Modelling Using SPSS Applied Multivariate Statistical Modelling Prof. J. Maiti Department of Industrial Engineering and Management Indian Institute of Technology, Kharagpur Lecture - 32 Regression Modelling Using SPSS (Refer

More information

Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools

Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools Occam s razor.......................................................... 2 A look at data I.........................................................

More information

Data Analysis. Using Excel. Jeffrey L. Rummel. BBA Seminar. Data in Excel. Excel Calculations of Descriptive Statistics. Single Variable Graphs

Data Analysis. Using Excel. Jeffrey L. Rummel. BBA Seminar. Data in Excel. Excel Calculations of Descriptive Statistics. Single Variable Graphs Using Excel Jeffrey L. Rummel Emory University Goizueta Business School BBA Seminar Jeffrey L. Rummel BBA Seminar 1 / 54 Excel Calculations of Descriptive Statistics Single Variable Graphs Relationships

More information

Practice 3 SPSS. Partially based on Notes from the University of Reading:

Practice 3 SPSS. Partially based on Notes from the University of Reading: Practice 3 SPSS Partially based on Notes from the University of Reading: http://www.reading.ac.uk Simple Linear Regression A simple linear regression model is fitted when you want to investigate whether

More information

Linear Regression in SPSS

Linear Regression in SPSS Linear Regression in SPSS Data: mangunkill.sav Goals: Examine relation between number of handguns registered (nhandgun) and number of man killed (mankill) checking Predict number of man killed using number

More information

SPSS/Excel Workshop 3 Summer Semester, 2010

SPSS/Excel Workshop 3 Summer Semester, 2010 SPSS/Excel Workshop 3 Summer Semester, 2010 In Assignment 3 of STATS 10x you may want to use Excel to perform some calculations in Questions 1 and 2 such as: finding P-values finding t-multipliers and/or

More information

Regression step-by-step using Microsoft Excel

Regression step-by-step using Microsoft Excel Step 1: Regression step-by-step using Microsoft Excel Notes prepared by Pamela Peterson Drake, James Madison University Type the data into the spreadsheet The example used throughout this How to is a regression

More information

Basic Data Analysis Using JMP in Windows Table of Contents:

Basic Data Analysis Using JMP in Windows Table of Contents: Basic Data Analysis Using JMP in Windows Table of Contents: I. Getting Started with JMP II. Entering Data in JMP III. Saving JMP Data file IV. Opening an Existing Data File V. Transforming and Manipulating

More information

Chapter 7. One-way ANOVA

Chapter 7. One-way ANOVA Chapter 7 One-way ANOVA One-way ANOVA examines equality of population means for a quantitative outcome and a single categorical explanatory variable with any number of levels. The t-test of Chapter 6 looks

More information

Drawing a histogram using Excel

Drawing a histogram using Excel Drawing a histogram using Excel STEP 1: Examine the data to decide how many class intervals you need and what the class boundaries should be. (In an assignment you may be told what class boundaries to

More information

IBM SPSS Statistics for Beginners for Windows

IBM SPSS Statistics for Beginners for Windows ISS, NEWCASTLE UNIVERSITY IBM SPSS Statistics for Beginners for Windows A Training Manual for Beginners Dr. S. T. Kometa A Training Manual for Beginners Contents 1 Aims and Objectives... 3 1.1 Learning

More information

An analysis method for a quantitative outcome and two categorical explanatory variables.

An analysis method for a quantitative outcome and two categorical explanatory variables. Chapter 11 Two-Way ANOVA An analysis method for a quantitative outcome and two categorical explanatory variables. If an experiment has a quantitative outcome and two categorical explanatory variables that

More information

Basic Pivot Tables. To begin your pivot table, choose Data, Pivot Table and Pivot Chart Report. 1 of 18

Basic Pivot Tables. To begin your pivot table, choose Data, Pivot Table and Pivot Chart Report. 1 of 18 Basic Pivot Tables Pivot tables summarize data in a quick and easy way. In your job, you could use pivot tables to summarize actual expenses by fund type by object or total amounts. Make sure you do not

More information

Doing Multiple Regression with SPSS. In this case, we are interested in the Analyze options so we choose that menu. If gives us a number of choices:

Doing Multiple Regression with SPSS. In this case, we are interested in the Analyze options so we choose that menu. If gives us a number of choices: Doing Multiple Regression with SPSS Multiple Regression for Data Already in Data Editor Next we want to specify a multiple regression analysis for these data. The menu bar for SPSS offers several options:

More information

NCSS Statistical Software

NCSS Statistical Software Chapter 148 Introduction Bar charts are used to visually compare values to each other. This chapter gives a brief overview and examples of simple 3D bar charts and two-factor 3D bar charts. Below is an

More information

Hypothesis Testing. Male Female

Hypothesis Testing. Male Female Hypothesis Testing Below is a sample data set that we will be using for today s exercise. It lists the heights for 10 men and 1 women collected at Truman State University. The data will be entered in the

More information

Table of Contents. Preface

Table of Contents. Preface Table of Contents Preface Chapter 1: Introduction 1-1 Opening an SPSS Data File... 2 1-2 Viewing the SPSS Screens... 3 o Data View o Variable View o Output View 1-3 Reading Non-SPSS Files... 6 o Convert

More information

6 Comparison of differences between 2 groups: Student s T-test, Mann-Whitney U-Test, Paired Samples T-test and Wilcoxon Test

6 Comparison of differences between 2 groups: Student s T-test, Mann-Whitney U-Test, Paired Samples T-test and Wilcoxon Test 6 Comparison of differences between 2 groups: Student s T-test, Mann-Whitney U-Test, Paired Samples T-test and Wilcoxon Test Having finally arrived at the bottom of our decision tree, we are now going

More information

SPSS Notes (SPSS version 15.0)

SPSS Notes (SPSS version 15.0) SPSS Notes (SPSS version 15.0) Annie Herbert Salford Royal Hospitals NHS Trust July 2008 Contents Page Getting Started 1 1 Opening SPSS 1 2 Layout of SPSS 2 2.1 Windows 2 2.2 Saving Files 3 3 Creating

More information

Create Charts in Excel

Create Charts in Excel Create Charts in Excel Table of Contents OVERVIEW OF CHARTING... 1 AVAILABLE CHART TYPES... 2 PIE CHARTS... 2 BAR CHARTS... 3 CREATING CHARTS IN EXCEL... 3 CREATE A CHART... 3 HOW TO CHANGE THE LOCATION

More information

Using CrunchIt (http://bcs.whfreeman.com/crunchit/bps4e) or StatCrunch (www.calvin.edu/go/statcrunch)

Using CrunchIt (http://bcs.whfreeman.com/crunchit/bps4e) or StatCrunch (www.calvin.edu/go/statcrunch) Using CrunchIt (http://bcs.whfreeman.com/crunchit/bps4e) or StatCrunch (www.calvin.edu/go/statcrunch) 1. In general, this package is far easier to use than many statistical packages. Every so often, however,

More information

Guide for SPSS for Windows

Guide for SPSS for Windows Guide for SPSS for Windows Index Table Open an existing data file Open a new data sheet Enter or change data value Name a variable Label variables and data values Enter a categorical data Delete a record

More information

Bivariate Analysis. Comparisons of proportions: Chi Square Test (X 2 test) Variable 1. Variable 2 2 LEVELS >2 LEVELS CONTINUOUS

Bivariate Analysis. Comparisons of proportions: Chi Square Test (X 2 test) Variable 1. Variable 2 2 LEVELS >2 LEVELS CONTINUOUS Bivariate Analysis Variable 1 2 LEVELS >2 LEVELS CONTINUOUS Variable 2 2 LEVELS X 2 chi square test >2 LEVELS X 2 chi square test CONTINUOUS t-test X 2 chi square test X 2 chi square test ANOVA (F-test)

More information

Making Tables and Figures

Making Tables and Figures Making Tables and Figures Don Quick Colorado State University Tables and figures are used in most fields of study to provide a visual presentation of important information to the reader. They are used

More information

Describing Populations Statistically: The Mean, Variance, and Standard Deviation

Describing Populations Statistically: The Mean, Variance, and Standard Deviation Describing Populations Statistically: The Mean, Variance, and Standard Deviation BIOLOGICAL VARIATION One aspect of biology that holds true for almost all species is that not every individual is exactly

More information

Chapter 6: t test for dependent samples

Chapter 6: t test for dependent samples Chapter 6: t test for dependent samples ****This chapter corresponds to chapter 11 of your book ( t(ea) for Two (Again) ). What it is: The t test for dependent samples is used to determine whether the

More information

Multiple Regression Analysis in Minitab 1

Multiple Regression Analysis in Minitab 1 Multiple Regression Analysis in Minitab 1 Suppose we are interested in how the exercise and body mass index affect the blood pressure. A random sample of 10 males 50 years of age is selected and their

More information

Chapter 2 Probability Topics SPSS T tests

Chapter 2 Probability Topics SPSS T tests Chapter 2 Probability Topics SPSS T tests Data file used: gss.sav In the lecture about chapter 2, only the One-Sample T test has been explained. In this handout, we also give the SPSS methods to perform

More information

Microsoft Office Excel Create column and pie charts in Excel. Create a chart using the Chart Wizard. Tutorial 4 Working With Charts and Graphics

Microsoft Office Excel Create column and pie charts in Excel. Create a chart using the Chart Wizard. Tutorial 4 Working With Charts and Graphics Microsoft Office Excel 2003 Tutorial 4 Working With Charts and Graphics 1 Create column and pie charts in Excel Charts, or graphs, provide visual representations of the workbook data. A chart may be embedded

More information

Assignment 1 supplement: Using Microsoft Excel

Assignment 1 supplement: Using Microsoft Excel Derivative Securities, Fall Semester, 2010 http://www.math.nyu.edu/faculty/goodman/teaching/derivsec10/index.html Assignment 1 supplement: Using Microsoft Excel There are many helpful web sites and books

More information

Computer Skills Microsoft Excel Creating Pie & Column Charts

Computer Skills Microsoft Excel Creating Pie & Column Charts Computer Skills Microsoft Excel Creating Pie & Column Charts In this exercise, we will learn how to display data using a pie chart and a column chart, color-code the charts, and label the charts. Part

More information

The Chi-Square Test. STAT E-50 Introduction to Statistics

The Chi-Square Test. STAT E-50 Introduction to Statistics STAT -50 Introduction to Statistics The Chi-Square Test The Chi-square test is a nonparametric test that is used to compare experimental results with theoretical models. That is, we will be comparing observed

More information

Contrasts ask specific questions as opposed to the general ANOVA null vs. alternative

Contrasts ask specific questions as opposed to the general ANOVA null vs. alternative Chapter 13 Contrasts and Custom Hypotheses Contrasts ask specific questions as opposed to the general ANOVA null vs. alternative hypotheses. In a one-way ANOVA with a k level factor, the null hypothesis

More information

IBM SPSS Statistics 23 Part 4: Chi-Square and ANOVA

IBM SPSS Statistics 23 Part 4: Chi-Square and ANOVA IBM SPSS Statistics 23 Part 4: Chi-Square and ANOVA Winter 2016, Version 1 Table of Contents Introduction... 2 Downloading the Data Files... 2 Chi-Square... 2 Chi-Square Test for Goodness-of-Fit... 2 With

More information

Statistics and research

Statistics and research Statistics and research Usaneya Perngparn Chitlada Areesantichai Drug Dependence Research Center (WHOCC for Research and Training in Drug Dependence) College of Public Health Sciences Chulolongkorn University,

More information

One-Way Analysis of Variance (ANOVA) Example Problem

One-Way Analysis of Variance (ANOVA) Example Problem One-Way Analysis of Variance (ANOVA) Example Problem Introduction Analysis of Variance (ANOVA) is a hypothesis-testing technique used to test the equality of two or more population (or treatment) means

More information

Directions for using SPSS

Directions for using SPSS Directions for using SPSS Table of Contents Connecting and Working with Files 1. Accessing SPSS... 2 2. Transferring Files to N:\drive or your computer... 3 3. Importing Data from Another File Format...

More information

Introduction to Analysis of Variance (ANOVA) Limitations of the t-test

Introduction to Analysis of Variance (ANOVA) Limitations of the t-test Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA Limitations of the t-test Although the t-test is commonly used, it has limitations Can only

More information

Graphing an Interaction in SPSS version 15: LINE GRAPH

Graphing an Interaction in SPSS version 15: LINE GRAPH Graphing an Interaction in SPSS version 15: LINE GRAPH There is a good chance that sometime during your career you will be asked to graph an interaction. Briefly defined, an interaction is when the effect

More information

IOWA STATE UNIVERSITY Department of Community and Regional Planning

IOWA STATE UNIVERSITY Department of Community and Regional Planning IOWA STATE UNIVERSITY Department of Community and Regional Planning CRP274 PLANNING ANALYSIS AND TECHNIQUES II INTRODUCTION TO EXCEL FOR WINDOWS 1 Basic Components of Spreadsheet 1.1 Worksheet An Excel

More information

Comparing Two or more than Two Groups

Comparing Two or more than Two Groups CRJ 716 Using Computers in Social Research Comparing Two or more than Two Groups Comparing Means, Conducting T-Tests and ANOVA Agron Kaci John Jay College Chapter 9/1: Comparing Two or more than Two Groups

More information