Probability vs statistics which one is important and why
Download as PPTX, PDF0 likes223 views
The document discusses the definitions and examples of probability and statistics, highlighting the main types of each. It distinguishes between descriptive statistics, which involves summarizing and presenting data, and inferential statistics, which involves complex mathematical calculations for scientific analysis. Key types within descriptive statistics include central tendency and variability measures, while inferential statistics encompass methods like regression analysis and t-tests.
1 of 16
Download to read offline
More Related Content
What's hot (20)
Ad
Similar to Probability vs statistics which one is important and why (20)
Ad
More from Stat Analytica (20)
Recently uploaded (20)
Probability vs statistics which one is important and why
- 2. Probability vs Statistics Definition of Probability Definition of Statistics Example of Probability Example of statistics Types of probability Types of statistics Probabilistic Model Statistical Model Uses of Probability Uses of Statistics Conclusion
- 6. ⅙
- 9. In descriptive statistics, the statistician describes the goal. In this, we use numerical measures to tell about the features of a set of data. besides, the descriptive statistic is all about presentation and collection of data.It is not as simple as it appears to statisticians. There are two types of descriptive statistics. Types of descriptive statistics • Central tendency measure • sVariability measures Inferential statistics is not easy statistics. It is more complicated than descriptive statistics. It is produced through complex mathematical calculations. These calculations are quite helpful for scientists. Types of inferential statistics • Regression analysis • Analysis of variance (ANOVA) • Analysis of covariance (ANCOVA) • Statistical significance (t-test) • Correlation analysis