Statistics is the discipline dealing with the collection, manipulation, analysis, and interpretation of data to draw conclusions and make decisions. Statistical software packages are essential tools that allow statisticians to efficiently analyze large datasets using computers for simulation, data storage, calculations, analysis, and presentation of results. Some common statistical software packages include Excel, which supports basic statistical functions, and more specialized packages like Costat, Minitab, SAS, SPSS, and R, which provide advanced statistical analysis capabilities.

1. Statistical software packages

2. Statistics
Definition:
It is a discipline of mathematics and science both
combined, that deal with
 Collection
 Manipulation
 Analysis
 Interpretation

3. Uses:
 Drawing conclusion and inference on which the
decision making in any organization depends.
 Present large data in understandable form e.g.
Graphs, tables
 Comparing data
 It is the major tool and the foundation of planning
in any organization

4. Manual
 The Data being dealt with is huge, Analyzing it
manually is very time – consuming, difficult and
many-times erroneous.
 Computers have proven to be a bliss for
statisticians - efficient than doing manual
 Processes:
Simulation
storing the data
Symbolic calculations
Numerical and graphical data analysis
Result presentation

5. Statistical software:
 There are number of software available to
manage statistical data – Statistical soft wares.
 These programs –
User-friendly
Menu driven
Interactive
Attractive
Self- explanatory
 E.g. BioEstat, Dataplot, MacAnova, MicrOsiris,
Greti, Winstats, StatEasy etc

6. Statistical software:

7. MS Excel
 Supports many statistical functions
 Mean
 Rank
 Median

8. Other Statistical packages:
Costat: