Here is the detailed comparison between SPSS vs SAS. Get to know which one is better and why. Have a look at this presentation to know more.

1. STAT ANALYTICA PRESENTS
The Best Guide on the
Comparison Between
SPSS vs SAS
WHICH ONE IS BEST AND WHY?

2. Topics to Cover
Overview
SPSS
SAS
1. Basic difference and History
2. Purpose and Usability
3. Data processing
4. Ease of learning
5. Advantages
6. Disadvantages
Conclusion: SPSS vs SAS
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3. Difference between SPSS vs SAS is one of the
major concern between statistics students.
The world is changing at a rapid pace. That’s
why the new technology is emerging with
every passing day. Do you know that data play
a crucial role in the evolution of technology?
Today we are going to have an in-depth
comparison between SAS vs. SPSS. The
fundamental difference between these two is,
SPSS is an analytical tool, while SAS is a
programming language that comes with its
suiteStat Analytica
Overvie
w

4. Stat Analytica
SPSS
SPPS is an acronym of “Statistical
Package for Social Sciences. ”It is one
of the oldest statistics software. The
researchers use SPSS to analyze all
sorts of data in scientific research. It
is one of the most reliable statistics
software.That’s why it is used by
market researchers, health
researchers, survey companies,
government, data miners, and many
more.

5. Stat Analytica
SAS
SAS is one of the best statistical
programming languages in the
world. It doesn’t have the best in the
class user interface, because it is a
programming language. The major
role of SAS is advanced analytics,
business intelligence, data
management, and predictive
analysis. SAS is more robust than the
SPSS because it is not providing the
easy to use interface like SPSS.

6. Statanakytica
1. Basic
difference and
History
It was developed for social sciences
and was the first statistical
programming language for the PC. A
team of statisticians developed it in
the year 1968 at Stanford
University.Eight years later SPSS had
its own company known as SPSS.Inc.
With the increasing popularity of
SPSS, It was bought by IBM in the
year 2009.
SAS stands for Statistical Analysis
System. North Carolina State
University developed it. The primary
motive behind the development of
this language is to analyze the vast
quantities of agriculture data.

7. Statanakytica
2. Purpose and
Usability
SPSS is the most available statistics
software I’ve ever seen. The non-
statisticians can use it. It is having the
best in class easy to use interface with
easy drag and drop menus. SPSS can
be used in many fields, but it can play
a crucial role in social sciences. On
the other hand, SAS is the most
potent statistics programming
language. Thus it is having a large
amount of high-quality code for
various statistics function. It is the
leading commercial analytics
software in the world.

8. Statanakytica
3. Data
processing I want to recommend SPSS for a
large set of data processing. SPSS can
only process the smaller amount of
data which should be smaller than
the 100 MB. On the other hand, SAS
offers various facilities to process a
massive amount of data set using
sorting and splicing the data.

9. Statanakytica
4. Ease of
learning I want to recommend SPSS for a
large set of data processing. SPSS can
only process the smaller amount of
data which should be smaller than
the 100 MB. On the other hand, SAS
offers various facilities to process a
massive amount of data set using
sorting and splicing the data.

10. Statanakytica
5. Advantages SPSS is the most popular software in
some of the leading universities and
companies in the world. It provides
the user-friendly interface along with
the complete documentation.There is
no need to write the 1000 lines of
code in SPSS. It automatically writes
the code using the paste button.
Along with that, you will also find the
best online support to solve any issue
that you may face while using
SPSS.On the other hand, SAS is one of
the widely used statistical
programming languages in the
industry.

11. Statanakytica
6. Disadvantages SPSS is not free software, and It is a
licensed software of IBM corporations.
It is one of the most expensive
statistics software in the world. But it
offers limited syntax. It is also not
adopting new technologies as
compared with other statistics
software.On the other hand, SAS is
also an expensive programming
language. It is also not providing the
user interface. You have to write
many lines of codes to perform some
task on SAS.

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Conclusion:
SPSS vs SAS
In the end, we have learned that both
SPSS and SAS are quite helpful in the
analysis of data in their unique way.
Both of them are offering various
functionalities to perform statistical
methods. Now you may be quite
confident to choose between SPSS
and SAS.There is not a clear winner of
this battle between SPSS vs SAS. If
you have some programming
knowledge, then you should opt for
SAS. Otherwise, SPSS can be the best
option for you. It is also a product of
IBM. It means that SPSS is quite
reliable statistics software

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