Summarizing Measured Data
This lecture covers the following topics:
- Part III: Probability Theory and Statistics
- Basic Probability and Statistics Concepts
- CDF, PDF, and PMF
- Mean, Variance, CoV
- Covariance and Correlation
- Mean and Variance of Sums
- Quantiles, Median, and Mode
- Normal Distribution
- Normal Quantiles
- Why Normal?
- Summarizing Data by a Single Number
- Mean, Median, and Mode: Relationships
- Selecting Mean, Median, and Mode
- Indices of Central Tendencies: Examples
- Common Misuses of Means
- Geometric Mean
- Geometric Mean: Example
- Examples of Multiplicative Metrics
- Geometric Mean of Ratios
- Harmonic Mean
- Weighted Harmonic Mean
- Mean of A Ratio
- Mean of a Ratio: Example
- Mean of a Ratio: Special Cases
- Program Optimizer Static Size Data
- Summarizing Variability
- Indices of Dispersion
- Range
- Variance
- Percentiles
- Quartiles
- Semi Inter-Quartile Range
- Mean Absolute Deviation
- Comparison of Variation Measures
- Measures of Variation: Example
- Selecting the Index of Dispersion
- Determining Distribution of Data
- Quantile-Quantile plots
- Quantile-Quantile Plots: Example
- Interpretation of Quantile-Quantile Data
- Summary
- Homework
- Exercise 12.1
- Exercise 12.2
- Exercise 12.3
- Exercise 12.4
- Exercise 12.5
- Exercise 12.6
- Exercise 12.7
- Exercise 12.8
- Exercise 12.9
- Exercise 12.10
- Exercise 12.11
- Exercise 12.12
- Exercise 12.13
- Exercise 12.14
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