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Home » Basic and Health Sciences » Mathematics » Probability & Statistics (V-U) » Statistics and Probability (V-U) » Independent and Dependent Events,Multiplication Theorem & Marginal Probability (V-U)

Independent and Dependent Events,Multiplication Theorem & Marginal Probability (V-U)

Course:Statistics and Probability (V-U)
Discipline:Basic and Health Sciences
Institute:Virtual University
Instructor(s): Dr. Saleha Naghmi
Level:Graduate

Statistics and Probability (V-U)

Chi-Square Test, p-value & Latest Definition of Statistics (V-U)
Analysis of Variance & Experimental Design (V-U)
Application of Addition Theorem,Conditional Probability & Multiplication Theorem (V-U)
Bayesâ€™ Theorem,Discrete Random Variable (V-U)
Binomial Distribution,Introduction to the Hypergeometric Distribution (V-U)
Box and Whisker Plot,Pearsonâ€™s Coefficient of Skewness (V-U)
Chebychevâ€™s Inequality & Concept of Continuous Probability Distribution (V-U)
Chebychevâ€™s Inequality,The Empirical Rule & The Five-Number Summary (V-U)
Large Sample Confidence Intervals,Determination of Sample Size & Hypothesis-Testing (V-U)
Confidence Interval (V-U)
Mean Deviation,Standard Deviation and Variance & Coefficient of variation (V-U)
Measures of Dispersion (V-U)
Continous variable (V-U)
Continuous Probability Distribution ,Bivariate Probability Distribution (V-U)
Median (V-U)
Data Representation (V-U)
Methods of data collection and sampling (V-U)
Definitions of Probability (V-U)
Normal Distribution (V-U)
Distributions BIVARIATE Probability ,Properties of Expected Values in the case of Bivariat (V-U)

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