This slide includes information about application of EXCEL and SPSS programme in statistical analysis in biostatistics.

1. APPLICATION OF EXCEL AND SPSS
PROGRAMME IN STATISTICAL ANALYSIS
Veena.V
4TH Year B.Pharmacy
Sri .K.V.College of Pharmacy

2. Content
• Introduction
• Features
• Limitations
• Uses
• Applications
• Conclusion

3. EXCEL
• Excel is one of the most commonly used Microsoft’s popular
spreadsheet software tool for data analysis.
• Most data professionals and statisticians prefer MS Excel for data
analysis because of simplicity, less cost, convenience of use, easy for
manipulating data and drawing graphs and lot of control and
flexibility.
• It features calculation, graphing tools, pivot tables and a macro
programming language.
• It is a very widely applied spreadsheet.

4. Features
• It allows organization of data of large sizes.
• It allows the design of professionally looking chart 3-D effects,
shadowing, transparent.
• Data can be filtered and sorted.
• Formating of spreadsheet allows changing thr font colour, and font
style.
• A function library consists of various function groups like financial,
logical, math and trigonometry etc.
• Based on the values entered in different cells in the spreadsheet ,
formulas can be defined, which automatically n perform
calculations.

5. Applications
• To mange name list of data records.
• To perform mathematical calculation easily in daily business.
• Inventory management.
• Create forms and consolidate results.
• Analytical tools.
• Corporate budgeting.

6. Over view of Excel
• Spreadsheet software is used to store information in columns and rows, and
designed to work with numbers but often include text.
• It mainly organises work into workbooks and each workbook contain many
worksheets and charts.
• Worksheets are used to list and analyse data.
• A pivot table is an Excel tool for summarizing a list into a simple format.
• It may be used as an interactive data summarization tool to condense large
datasets into a separate, concise table.
• Most of Excels statistical procedures are part of the data analysis tool pack,
which is in the tool menu.
• Descriptive analysis is observed by going to Excel-->Data  Data
analysisDescriptive statistics.

7. SPSS
• ‘Statistical Package for the Social Sciences’
• It is a software used for data analysis in business research.
• It is a window based program first launched in 1968.
• It can be used for Processing questionnaries
• Reporting in tables and graphs.
• Analyzing :means, chi-square, regression .
• SPSS is widely used in the social and behavioural sciences.
• It is also used by health researchers, survey companies, education
researchers, government.
• SPSS is a software package used for conducting statistical analysis,
manipulating data, generating table and graphs that summarize data.
• It is also user friendly.

8. Continue.....
• These are various windows that can be opened when using SPSS such as
data editor, output navigator, pivot table editor, chart editor, text output
editor and syntax editor.
• The data editor is a spreadsheet in which variables can be defined and
entered the data.
• Each row corresponds to a case while each column represents a variable.
• This window openes automatically when SPSS is started.
• The output navigator windows displays the statistical results, tables and
charts from the analysis.
• Text output not displayed in pivot tables can be modified with the text
output editor.

9. Features
• It is easy to learn and use.
• It includes a full range of data management system and editing tools.
• It provides in depth statistical capabilities.
• It offers complete plotting, reporting and presentation features.
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.

10.  Telecommunications
 Banking
 Finance
 Insurance
 Government
 Healthcare
 Manufacturing
 Retail
 Higher education
 Market research
 Consumer packaged goods.
Uses

11. Applications
• SPSS is used by market researcher
• Health researchers
• Survey companies
• Government entities
• Education researchers
• Marketing organization
• Data miners , and many more for processing and analyzing survey data
such as you collect with an online survey platform like Alchemer.

12. Advantages
• 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 features.
• Can be expanded purchasing add-ins.

13. THANK YOU