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STAT ANALYTICA
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
⅙
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
Probability vs statistics  which one is important and why
Probability vs statistics  which one is important and why
Probability vs statistics  which one is important and why
Probability vs statistics  which one is important and why
Probability vs statistics  which one is important and why
Probability vs statistics  which one is important and why
Probability vs statistics  which one is important and why

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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
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 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