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Calculating Kurtosis and making decision using Numerical measures (V-U)
- Course:Applied Biostatistics (V-U)
- Discipline:Basic and Health Sciences
- Institute:Virtual University
- Instructor(s): Saima Mustafa
- Level:Graduate
Applied Biostatistics (V-U)
- Absolute Measures of Dispersion (V-U)
- Appropriate usage of the Measures of Dispersion (V-U)
- Appropriate Use of Measures of Location (V-U)
- Arithmetic Mean (V-U)
- Basic Terminology – I (V-U)
- Basic Terminology – II (V-U)
- Basic Terminology for sampling (V-U)
- Bernoulli Distribution I (V-U)
- Bernoulli Distribution II (V-U)
- Bernoulli Distribution III (V-U)
- Bernoulli Distribution IV (V-U)
- Bernoulli Distribution V (V-U)
- Box and Whisker Plot (V-U)
- Calculating Kurtosis and making decision using Numerical measures (V-U)
- Calculating Skewness and making decision using Numerical measures (V-U)
- Cluster Sampling (V-U)
- Combinations (V-U)
- Conditional Probability (V-U)
- Contingency Tables (V-U)
- Continuous Probability Distribution I (V-U)
- Continuous Probability Distribution II (V-U)
- Continuous Probability Distribution III (V-U)
- Continuous Probability Distribution IV (V-U)
- Continuous Probability Distribution V (V-U)
- Continuous Probability Distribution VI (V-U)
- Continuous Probability Distribution VII (V-U)
- Continuous Probability Distribution VIII (V-U)
- Convenience Sampling (V-U)
- Counting Rules (V-U)
- Data (V-U)
- Describing Data with Charts – I (V-U)
- Describing Data with Charts – II (V-U)
- Describing Data with Charts – III (V-U)
- Describing Data with Tables – I (V-U)
- Describing Data with Tables – II (V-U)
- Describing Data with Tables – III (V-U)
- Describing Data: From its peak (V-U)
- Describing Data: From its Shapes (V-U)
- Describing Shape: From Box and Whisker Plot (V-U)
- Descriptive Statistics: Measures of Central Tendency (V-U)
- Estimation (V-U)
- Examples for Absolute Measures of Dispersion (V-U)
- Examples of Measures of Dispersion (V-U)
- Examples of Quantiles (V-U)
- Expected value and variance of the sampling distribution of a sample proportion (V-U)
- Expectated value and variance of the sampling distribution of the sample mean (V-U)
- Expected value and variance of the sampling distribution of the difference between two sample means (V-U)
- Introduction to Biostatistics (V-U)
- Introduction to Sampling (V-U)
- Introduction to Sampling I (V-U)
- Introduction to Sampling II (V-U)
- Introduction to Sampling IV (V-U)
- Measurement Scales – I (V-U)
- Measurement Scales – II (V-U)
- Measures of Dispersion (V-U)
- Median (V-U)
- Microsoft Excel Demo (V-U)
- Mode (V-U)
- Non-Probability Sampling Methods (V-U)
- Permutations (V-U)
- Point Estimation (V-U)
- Probability: Additive rule (V-U)
- Probability: Axioms of Probability (V-U)
- Probability: Basic Terminology – I (V-U)
- Probability: Basic Terminology – II (V-U)
- Probability: Introduction (V-U)
- Probability: Multiplicative Rule for Independent Events (V-U)
- Quantiles (Cut Points) (V-U)
- Relative Measures of Dispersion (V-U)
- Sampling and Statistical Inference (V-U)
- Sampling Distribution of a sample Proportion (V-U)
- Sampling distribution of the difference of the two sample proportion (V-U)
- Sampling Distribution of the differnece between two means (V-U)
- Sampling Distribution of the sample mean (V-U)
- Simple Random Sampling (V-U)
- Standard Error (V-U)
- Stratified Random Sampling (V-U)
- Stratified Random Sampling I (V-U)
- Stratified Random Sampling II (V-U)
- Stratified Random Sampling III (V-U)
- Stratified Random Sampling IV (V-U)
- Stratified Random Sampling. (V-U)
- Systematic Sampling (V-U)
- Types of Sampling Methods (V-U)
- Types of Statistics (V-U)
- Variables (V-U)