The document presents a comprehensive overview of SPSS software, detailing its features, benefits, and applications in data analysis and statistical research. It highlights the software's capabilities for both small and large enterprises, including statistical tests and data manipulation tools. The presentation also covers the SPSS interface, frequency analysis, and the importance of effective data presentation in research.

1. Bangladesh University of
Professionals
Presentation on
Uses of SPSS and Excel
to analyze data

2. Presented By
Kudrat-E-Khoda
ID No- M1415019
Course Title- Business Statistics (BUS 504)
Program- MBA, Batch- 15th
Submitted To
Charls Darwin
Lecturer
Faculty of Business Studies
Bangladesh University of Professionals (BUP)

3.  INTRODUCTION
 FEATURE & BENEFITS
 WHY SPSS?
 RESEARCH & DEVELOPMENT
 SPSS INTERFACE
 USING SPSS
 FREQUENCY ANALYSIS
 CONCLUSION
CONTENTS

4. INTRODUCTION
• SPSS is a software package used for conducting statistical
analysis, manipulating data, and generating table and graphs
that summarize data.
• SPSS performs statistical analysis range from basic descriptive
statistics, such as average and prevalence, to advanced
inferential statistical, such as regression model, analysis of
variance, factor analysis etc.
• SPSS also contains several tools for manipulating data,
including functions for recording data, macros programming on
visual basic editor, merging data, and aggregating complex data
sets.

5. FEATURES AND BENEFITS
• For Small And Medium Enterprises (SME)
– Resources & best practices.
– Techniques for cleaning data.
– Access Data in Relational Databases.
• For Large Scale Enterprises (LSE)
– Real time processing and online mapping.
– Online Database connectivity different networks.
– Data import & export data from different medium like SAS,
Statistica.
– Compliances and Validations.

6. What are the options?
• Many commercial products available
– SAS, Statistica, Minitab, and others
• Excel
– Widely available (part of MS Office Suite)
– Not a statistical software – spreadsheet
– Finance, math, and statistics applications
• SPSS
– Robust software for sophisticated statistical applications
– Upgrade with add-ins

7. WHY SPSS?
• Strengths
– Very robust statistical software
– Many complex statistical tests available
– Good “stats coach” help with interpreting results
– Easily and quickly displays data tables
– Can be expanded
• Using the syntax feature
• Purchasing add-ins
• Limitations
– Can be expensive
– Not intuitive to use
• Typically requires additional training to maximize features (at a cost)
– Graphing feature not as simple as Excel

8. RESEARCH & DEVELOPMENT
Data presentation is one of the most crucial steps in research.
The uses of SPSS helps the researcher to make the research work
more scientific and reliable as a number of different statistical
tools like ANOVA, paired t- test, chi squire test, exploratory factor
analysis (EFA) and so on.
• Quality and Manufacturing.
• Compliance and Validation..
• Empower Researcher with Tools.
• Regulatory Safety Testing.
• Clinical Trails.
• Data Mining in Drug Discovery.

9. SPSS INTERFACE
Cell Editor Variable Names Max, Min, Close
Title Bar
Menu Bar
Button Bar
Row # :col
View Tabs
10/19/2014 Data Analysis with SPSS
Scroll
Bar
Active
Cell

10. SPSS INTERFACE (cont…)
‘Data View’ is
where the
numbers are
inputted e.g.
Survey responses

11. SPSS INTERFACE (cont…)
‘Variable View’ is
where you see
behind the data
i.e. where you tell
SPSS what the
numbers represent

12. SPSS INTERFACE (cont…)
This is what Data
View looks like
with some content
added

13. SPSS INTERFACE (cont…)
Each row is a
respondent’s
answers to a
survey

14. SPSS INTERFACE (cont…)
Each column
contains all the
answers to a
particular question
by all respondents

15. SPSS INTERFACE (cont…)
Each variable can be
named. No spaces or
special characters are
allowed (just keep it to
simple one word names)

16. SPSS INTERFACE (cont…)
SPSS can deal with words as well
as numbers, but the ‘Type’ of data
should mostly be numeric.
Data made up of words is called
‘String’ data

17. This is where you can give
your variable a meaningful
label.
This will be the label that
appears in tables and graphs

18. The ‘value’ tab is where you turn
your numbers into meaningful
values. E.g. 1 = Female, 2 = Male

19. Using of SPSS
FREQUENCY ANALYSIS
Frequency analysis is a descriptive statistical method that
shows the number of occurrences of each response chosen
by the respondents. We can also calculate the mean,
median, and mode to help users analyze the results and
draw conclusions.
CROSSTABS
Crosstabs are used to examine the relationship between two
variables.
Data Manipulation
Data files are not always ideally organized in a form to meet
specific needs. For example, users may wish to select a
specific subject or split the data file into separate groups
for analysis.

20. Using of SPSS (Cont…)
SPLITTING A FILE
If we wish to compare the response or performance differences by groups
within one variable, it is best to use the split files option.
FIND AND REPLACE
In this software we can use the Find and Replace function is more
efficient to use. Users can use Find and Replace in Data View. However,
only the Find function is available for users in Variable View.
Reporting
Once the statistical analysis is complete, the final step is to create a
report. In the report, we may include PASW Statistics output (e.g.,
graphs and tables) for supporting your analysis. Using the Copy and
Paste functions, the tables/graphs generated in PASW Statistics can be
copied from the Output Viewer window and pasted into a Microsoft
Word document without having to create new tables or graphs.
10/19/2014 20

21. FREQUENCY ANALYSIS
Frequency analysis is a descriptive statistical method that shows the number of
occurrences of each response chosen by the respondents. We can also calculate the
mean, median, and mode to help users analyze the results and draw conclusions.
To perform frequency analysis:
1. Click the Open button on the Data Editor
toolbar. The Open Data dialog box opens.
2. Locate and open the “Part 1.sav” file.
3. Click the Analyze menu, point to
Descriptive Statistics, and select
Frequencies. The Frequencies dialog box
opens.
4. Select the variable(s) desired to be
analyzed. In this case, select the variable
“Computer Owned” from the list box on
the left.
5. Click the transfer arrow button . The
selected variable is moved to the
Variable(s): list box.
6. Select the Display frequency tables check
box if necessary.

22. FREQUENCY ANALYSIS (CONT…)
7. Click the Statistics…
button. The Frequencies:
Statistics dialog box
opens.
8. Select the Mean,
Median, and Mode
check boxes in the
Central Tendency
section; select the Std.
deviation check box in
the Dispersion section.

23. FREQUENCY ANALYSIS (CONT…)
9. Click the
Continue button.
This returns you
to the
Frequencies
dialog box.
10. Click the OK
button. An
Output Viewer
window opens
and displays the
statistics and
frequency table

24. Conclusion
So we can say that the SPSS software plays a
significant role in the process of interpreting
and analyzing of the data retrieved from
various methods.
It also help to represent data in remarkable
way.