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        <title>SOFA Statistics</title>
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        <dc:date>2011-07-30T06:47:49-0400</dc:date>
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        <title>help:anova</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:anova&amp;rev=1312022869&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

ANOVA (Analysis of Variance)

The one-way ANOVA (see  One-way ANOVA) looks at averages for different groups and works out how likely the differences between groups are given the differences (variability) within groups.  So if we were looking at average height of British, Canadian, Australian, and New Zealand adults, we would be more confident we had a real difference the bigger the height difference between nations and the narrower the height spread within…</description>
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        <dc:date>2014-11-21T20:18:06-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:backups</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:backups&amp;rev=1416619086&amp;do=diff</link>
        <description>Contents

Backups

Backing up

	*  Click on the Run Backup button
	*  Copy the zip file onto a USB stick - perhaps to take offsite, or to transfer to another computer.

Restoring on another machine

Presumably the new computer doesn't have any existing SOFA analyses or reports you would be worried about wiping over - just an empty SOFA installation.</description>
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        <dc:date>2012-02-23T14:12:07-0400</dc:date>
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        <title>help:charts</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:charts&amp;rev=1330024327&amp;do=diff</link>
        <description>Contents

 Wiki

Making Charts

Overview

SOFA Statistics support making a range of different charts:

	*  simple bar charts
	*  clustered bar charts
	*  pie charts
	*  line charts
	*  area charts
	*  histograms
	*  scatter plots
	*  box plots

To make a chart, select the chart type, make any settings specific to that type of chart, and click on the</description>
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        <dc:date>2012-08-12T18:16:51-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:chisquare</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:chisquare&amp;rev=1344809811&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

The Chi Square Test

:!: if you have summary results already tallied, you can enter these directly into the  On-line Chi-Square Calculator. SOFA runs off raw data only and creates all the group totals for you.

We use the Chi Square Test  Pearson's chi-square test when investigating if there is a relationship between two categorical variables[1] e.g. gender and age group.</description>
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        <dc:date>2012-08-12T17:52:16-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:data_entry</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:data_entry&amp;rev=1344808336&amp;do=diff</link>
        <description>Contents

Entering Fresh Data

SOFA Statistics lets you enter your data directly.  Or you can import it from a spreadsheet or csv file.  Or you can connect directly to a database.  This demonstration shows how to enter fresh data.

Start by clicking on the “</description>
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        <dc:date>2015-03-29T01:54:09-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:data_structure</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:data_structure&amp;rev=1427608449&amp;do=diff</link>
        <description>Contents

Getting your data structure right for SOFA

Data Format

Most often, you enter some data into SOFA and everything Just Works. You don't have to think about your data structure particularly. But sometimes you want to analyse one variable by another e.g. height by gender and SOFA doesn't seem to allow you to. Or you want to see if there is a difference between, for example, different years, and there is no way of doing it. Or perhaps you want to do a paired t-test and you can't get the c…</description>
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        <dc:date>2010-08-26T17:02:48-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:export_scripts</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:export_scripts&amp;rev=1282856568&amp;do=diff</link>
        <description>Contents

Export Scripts

A script is a file you can use to make report tables or other SOFA Statistics output.  Scripts can be run using the free and open source  Python programming language.  



These tables will be saved to the output report location selected at the point when the script is exported.</description>
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        <dc:date>2014-11-21T20:12:14-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:exporting_data</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:exporting_data&amp;rev=1416618734&amp;do=diff</link>
        <description>Contents

Exporting Data

The built-in Export Data functionality lets you export raw data directly. But there is a manual alternative if you prefer:

	*  Download and install the excellent free and open source SQLite Database Browser application (&lt;http://sqlitebrowser.sourceforge.net/&gt;)
	*  Use SQLite Database Browser to open the internal SOFA database (e.g. /home/username/sofastats/_internal/sofa_db or C:\Documents and settings\username\sofastats\_internal\sofa_db)</description>
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        <dc:date>2012-08-12T18:23:49-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:filtering_data</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:filtering_data&amp;rev=1344810229&amp;do=diff</link>
        <description>Contents

Filtering Data

Sometimes you want to conduct analyses on a subset of your data e.g. on males only.  In SOFA you can apply temporary filters to your data.

 Remember: Filters will remain in place 
until you close SOFA or deliberately remove them.</description>
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        <dc:date>2026-02-11T05:10:15-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:getting_started</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:getting_started&amp;rev=1770804615&amp;do=diff</link>
        <description>Contents

640:248=2.58×96=247,74×100=24774:640=38,70%------- 2.58×48=123

Demonstration Data

Before analysing your own data, it can be helpful to play with the demonstration data provided with SOFA Statistics.  Click the “Enter/Edit Data” button to get started.</description>
    </item>
    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:importing&amp;rev=1446276110&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2015-10-31T03:21:50-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:importing</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:importing&amp;rev=1446276110&amp;do=diff</link>
        <description>Contents

Importing Spreadsheet/CSV Data

Prepare Your Data

Clean the Spreadsheet/CSV file

	*  One data type per column. If you want a column analysed as a number e.g. 60, 102.5, 3, etc remove text such as “n/a”, “removed” etc. SOFA can cope with mixed data types by getting you to choose an overall type as you import (unless you select text, data of the other types is converted to missing values). But you will have to decide what to do for each and every column every time you import the data. …</description>
    </item>
    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:indep_ttest&amp;rev=1344809980&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2012-08-12T18:19:40-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:indep_ttest</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:indep_ttest&amp;rev=1344809980&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

Independent t-test

The independent t-test is of the most well-known statistical tests (see  Student's t-test).  It is useful for looking at differences in the average between two groups when the variable being averaged is numerical and inadequately normal - for example, looking at the difference in height between countries.  If you are looking at paired data e.g. pre and post-diet weight, you need to use the</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2010-12-20T02:37:09-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:kruskal</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:kruskal&amp;rev=1292830629&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

Kruskal-Wallis H

 Kruskal-Wallis H lets you decide if there is a difference in an ordinal variable e.g. user satisfaction ratings, between groups.  It is the non-parametric equivalent of the  ANOVA (Analysis of Variance) relying on value ranks rather than data values themselves.

Because it is based on order rather than value, the output table displayed by SOFA shows the median instead of the mean.</description>
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        <dc:format>text/html</dc:format>
        <dc:date>2024-02-27T10:45:21-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:linux_installation</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:linux_installation&amp;rev=1709048721&amp;do=diff</link>
        <description>Contents

Non-Ubuntu/Debian Linux Installation

Introduction

Deb packages are supplied for download on the main SOFA website. To cater to other flavours of Linux, a tar.gz is also provided.  Inside, you will find README.txt and INSTALL.sh.

	*  Step 1 is to use your distro package manager to install all the required support packages e.g. matplotlib (for chart plotting).  Details of required packages are in the next subsection.</description>
    </item>
    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:mann_whitney&amp;rev=1344809835&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2012-08-12T18:17:15-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:mann_whitney</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:mann_whitney&amp;rev=1344809835&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

Mann Whitney U

The Mann-Whitney U is of the most well-known non-parametric significance tests (see  Mann-Whitney U).  It is useful for looking at differences in the average between two groups when the variable being averaged is either ordinal only or inadequately normal - for example, looking at the difference in satisfaction ratings between two restaurants. It is also quite robust with respect to outliers.</description>
    </item>
    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:online_surveys&amp;rev=1291316834&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2010-12-02T14:07:14-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:online_surveys</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:online_surveys&amp;rev=1291316834&amp;do=diff</link>
        <description>Contents

Online Surveys with SOFA and Google Docs Spreadsheets

Overview

SOFA makes it easy to survey people and analyse the results.  Just make a simple survey form in Google Docs, send a link to the people you want to survey (perhaps individually, perhaps in a newsletter), and import the data into SOFA Statistics from the underlying Google Docs Spreadsheet ready to make tables etc.  You can even embed the survey in a web page.</description>
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    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:overview&amp;rev=1603348305&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2020-10-22T02:31:45-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:overview</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:overview&amp;rev=1603348305&amp;do=diff</link>
        <description>Contents

Using Statistical Analysis System

Statistical Analysis System can be used to:

	*  make charts e.g. Pie Charts
	*  produce attractive report tables on your data e.g. gender vs age
	*  run basic statistical tests e.g. one-way ANOVAs
	*  and generally increase your understanding of your data.</description>
    </item>
    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:paired_ttest&amp;rev=1344809873&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2012-08-12T18:17:53-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:paired_ttest</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:paired_ttest&amp;rev=1344809873&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

Paired t-test

The paired t-test (see  Student's t-test) is useful for looking at differences in two variables.  The data must be paired e.g. looking at pre and post-diet weight.  The variables being averaged must also be numerical and adequately normal.  

If you are looking at independent/unpaired data e.g. height between two countries, you need to use the</description>
    </item>
    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:pearsonsr&amp;rev=1297976768&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2011-02-17T16:06:08-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:pearsonsr</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:pearsonsr&amp;rev=1297976768&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

Correlation - Pearson's R Test

The Pearson's R Correlation Test (also called the  Pearson product-moment correlation coefficient) tells you how strong the linear correlation is for paired numeric data e.g. height and weight. You should never run this test without viewing a scatterplot and visually examining the basic shape of the relationship. The test could indicate a low linear correlation and yet the data could have a very strong and clear non-linear p…</description>
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        <dc:date>2011-01-10T20:47:17-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:projects</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:projects&amp;rev=1294710437&amp;do=diff</link>
        <description>Contents

Connecting to Databases

Unlike many statistics programs, in SOFA Statistics you can connect directly to data you have in any supported SQL-type database (currently MS Access, MySQL, MS SQL Server, PostgreSQL, and SQLite).



NB if you have data in a spreadsheet or stored as csv see</description>
    </item>
    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:recoding_data&amp;rev=1302210297&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2011-04-07T17:04:57-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:recoding_data</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:recoding_data&amp;rev=1302210297&amp;do=diff</link>
        <description>Contents

Recoding Data

Introduction

Sometimes you need to change your data before you can analyse it. For example, you might have a field called age but you want to look at the percentages in different age groups. You might want 0-19 in one group, 20-29 in another, 30-39 in another, 40-64 in another, and finally 65+ in another.</description>
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    <item rdf:about="https://sofastatistics.com/wiki/doku.php?id=help:report_tables&amp;rev=1650228407&amp;do=diff">
        <dc:format>text/html</dc:format>
        <dc:date>2022-04-17T16:46:47-0400</dc:date>
        <dc:creator>Anonymous (anonymous@undisclosed.example.com)</dc:creator>
        <title>help:report_tables</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:report_tables&amp;rev=1650228407&amp;do=diff</link>
        <description>Contents

Making Report Tables

Making a Simple Crosstab Table

On the main SOFA form, click on “Report Tables”,



Let's start with a simple report table of Age Group vs Country.  NB all of this data is fictitious and designed to allow features of the program to be demonstrated.</description>
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        <dc:date>2012-04-21T17:47:54-0400</dc:date>
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        <title>help:spearmansr</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:spearmansr&amp;rev=1335044874&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

Correlation - Spearman's R Test

The Spearman's R Correlation Test (also called the  Spearman's rank correlation coefficient) is generally used to look at the (roughly) linear relationship between two ordinal variables e.g. satisfaction ratings for staff and level of staff training. You should never run this test without viewing a scatterplot and visually examining the basic shape of the relationship. The test could indicate a low linear correlation and ye…</description>
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        <title>help:stats_tests</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:stats_tests&amp;rev=1294804511&amp;do=diff</link>
        <description>Contents

 Wiki

Statistical Tests Available in SOFA Statistics



&lt;http://www.sofastatistics.com/videos.php#stats_help&gt; A video is available showing how SOFA Statistics can help you select and interpret the appropriate statistical test:  Statistical test selection video

	*   ANOVA (Analysis of Variance)
	*   Chi Square Test
	*   Correlation - Pearson's R
	*   Correlation - Spearman's R
	*   Kruskal-Wallis H
	*   Mann-Whitney U
	*   Independent t-test
	*   Paired t-test
	*   Wilcoxon Signed Ran…</description>
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        <dc:date>2017-04-05T04:15:21-0400</dc:date>
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        <title>help:variable_details</title>
        <link>https://sofastatistics.com/wiki/doku.php?id=help:variable_details&amp;rev=1491380121&amp;do=diff</link>
        <description>Contents

Setting variable details e.g. labels

Anywhere you can see a variable, you should be able to right click on it and access its settings.  E.g. from a variable added to a report table configuration:



Or a variable in a drop down list in a charts dialog:</description>
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        <link>https://sofastatistics.com/wiki/doku.php?id=help:wilcoxon&amp;rev=1292906172&amp;do=diff</link>
        <description>Contents

 Statistical Tests Available

Wilcoxon Signed Ranks

The Wilcoxon Signed Ranks Test (see  Wilcoxon signed-rank test) is useful for looking at differences in two variables.  The data must be paired e.g. looking at pre and post-diet weight.  The variables being averaged must also be measured at an interval level of measurement.</description>
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        <dc:date>2019-07-26T02:25:13-0400</dc:date>
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        <description>Contents

SOFA Won't Start

Sorry!  But we can probably fix it.  Make sure you are installing the latest version of SOFA Statistics  Sourceforge SOFA downloads.  Newer versions are sometimes better at handling problems.

Here are some things which might help:

Using Sofastats Recovery</description>
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