Statistics history and applications
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The document provides an overview of statistics, including its definition, historical development, and its applications in daily life and computer science. It discusses the importance of data collection, analysis, and visualization through graphs and charts. The document also differentiates between the terms 'statistic' and 'statistics' while emphasizing the need for statistical knowledge in making informed decisions.
Statistics history and applications
- 1. Welcome
- 2. Topic Statistics with it’s branch and uses
- 3. Group members Name ID Irteza Rahman 133-15-3057 MD.Anik Islam 131-15-2339 Mir Hamimul Islam 121-15-1801 Sudip Kumar Sarker 131-15-2222
- 4. Index ▪ What is statistic? ▪ History of statistic ▪ Statistic in daily life ▪ Use of statistic in computer science ▪ Some graph and charts ▪ Statistic in daily life ▪ Statistic vs Statistics ▪ Conclusion ▪ Reference
- 5. Statistic ▪ Data collection and designing experiments ▪ Summarizing information (Visual way/Commenting) ▪ Drawing conclusion from data ▪ Estimating present condition ▪ For a better prediction
- 6. A bit of history about statistic ▪ The History of statistics can be said to start around 1749 although ▪ The modern field of statistics only emerged in the late 19th and early 20th century in three stages. ▪ Karl Pearson, the founder of mathematical statistic
- 7. Statistic in daily life Customer data Effective collection and mining of statistical data can yield valuable insight for companies about the likes, dislikes and buying habits of their customers. Performance Boost Statistics not only help measure business performance, but can also provide a means for boosting it. Some firms even use data and statistics to experiment with ways to improve management decisions, final reported.
- 8. Statistic in daily life EDUCATION Money spend on girls education in comparison to boys education? Increase in no. of girl students who seated in who Seated for different exams? Comparison for result for last 10 years. No. of new diseases grown in last 10 year. Increase in no. of patients for a particular disease. Sports Used to compare run rates of to different teams. Used to compare to different players.
- 9. Statistic in computer science Data mining find irregularities or inconsistencies within data Data compression WinZip use compression data technique with statistical algorithm Networking Network Traffic modeling Other Quality management Software Engineering
- 10. Example
- 11. Graph and charts (Line graph) 4.3 2.5 3.5 4.5 2.4 4.4 1.8 2.8 2 2 3 5 0 1 2 3 4 5 6 Category 1 Category 2 Category 3 Category 4 Series 1 Series 2 Series 3
- 12. Graph and charts (Pie chart) 4.3 2.5 3.5 4.5 Category 1 Category 2 Category 3 Category 4
- 13. Statistic vs Statistics ▪ A statistic (singular) or sample statistic is a single measure of some attribute of a sample ▪ Statistics is a whole mathematical science concerned with data collection, presentation, analysis, and interpretation ▪ Statistics is the calculation of statistic
- 14. Conclusion Sometimes a computer science student says why I need statistics. But at the end of the day while playing with data someone need to comes into a conclusion with a decision ,there a summery is very important .So there are no chance without statistics for a better analysis
- 16. Any question ?
- 17. Thank you