#SAS STATISTICAL SOFTWARE INTRODUCTION FULL VERSION#

Unfortunately, students have no home use rights, but can purchase a pretty much full version called a Premium Grad-pack with a 2-year license for approximately $250 from Hearne software. Staff are allowed to use SPSS at home for a cost of $10.

#SAS STATISTICAL SOFTWARE INTRODUCTION INSTALL#

If it is not on the one that you use, then contact the IT Help Desk to install it. SPSS is available on blue-plated (UniSA) computers.

Has few of the more powerful techniques required in epidemiological analysis, such as competing risk analysis or standardised rates.

Has advanced regression modelling procedures such as LMM and GEE, but they are awful to use with very obscure syntax.

Focus is on statistical methods mainly used in the social sciences, market research and psychology.

#SAS STATISTICAL SOFTWARE INTRODUCTION SOFTWARE#

Has its own structural equation modelling software AMOS, that dovetails with SPSS.

Excels at descriptive statistics, basic regression analysis, analysis of variance, and some newer techniques such as Classification and Regression Trees (CART).

Can use either with menus or syntax files.

It was one of the earliest statistical packages with Version 1 being released in 1968, well before the advent of desktop computers. SPSS stands for Statistical Package for the Social Sciences. For your own computer, you can always purchase Microsoft Office from a retail store. For blue-plated (UniSA) computers, contact the IT Help Desk to install the latest Microsoft office software. Most computers come with Microsoft software already installed.

Cannot undertake more sophisticated statistical analyses without purchase of expensive commercial add ons.

Excel is designed for financial calculations, although it is possible to use it for many other things.

Add on module which is part of Excel for undertaking basic statistical analyses.

Excel spreadsheets can be read by many other statistical packages.

Extremely easy to use and interchanges nicely with other Microsoft products.

Excel version 1.0 was first released in 1985, with the latest version Excel 2016. This is part of the Microsoft Office suite of programs. Then further details are provided in subsequent modules about each of these packages.

However, there are some software packages that are readily available and often used at UniSA, including Microsoft Excel, SPSS, SAS, Stata and R, which will briefly overviewed here. In fact the diversity and number of software packages and available websites is so large, that reviewing all of them would be a full-time job! A good example is the sample size software G*Power, which can be downloaded here: Again, some are commercial, but others can be freely downloaded. There are also many specialised software programs for things like graphs, sample size calculations, and genetic analyses.

There are also many websites where you can undertake online statistical analyses. For example, PSPP is a clone of SPSS, and can be downloaded here:

#SAS STATISTICAL SOFTWARE INTRODUCTION FREE#

In addition, there are several free statistical packages available from the internet. There are many commercial statistical packages available, some of which UniSA has licenses for. A really good and free data entry program is EpiData Entry provided by CDC Atlanta. This has the advantage of being able to put things like range checks on data entry fields, so for example, if a data entry field should only have a 0 or 1 entered, if you try and put anything else, it wonвЂ™t let you. A final solution is to use specialised data entry software. SurveyMonkey has the facility to convert the data into an Excel spreadsheet or SPSS format.

Another solution is to use software like SurveyMonkey ( ) to collect the data. Secondly, you can always enter data directly into a statistical package, since they nearly all have some form of inbuilt spreadsheet. The good news is that most statistical software can read data directly from an Excel spreadsheet, so using Excel is often the easiest solution. However, before we start looking at these, a question that often arises is вЂњHow do I get my data into a statistical package?вЂќ. In addition, there are a multitude of statistical software packages available that can do a lot of the work for you вЂ“ and these are the focus of this current module. If you would like face-to-face assistance, then information about biostatistical support can be found here: There is lots of support available to make you more comfortable with undertaking statistical analyses, including this online course, biostatistical consultants, websites, Youtube tutorials, and even MOOC courses. However, there really is no need to panic. Further вЂ“ letвЂ™s face it, mathematics and statistics are conceptually difficult. This is because mathematics and statistics are often poorly taught at school, and barely covered during undergraduate training.

For many students, the thought of having to undertake statistical analyses is uncomfortable.

Sas statistical software introduction