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In This Chapter
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Descriptive Statistics for Data
Presentation
- Introduction
- Estimation and Testing
- 100(1 − α)% Confidence Interval for Mean
- 100(1 − α)% Confidence Interval for Variance
- 100(1 − α)% Confidence Interval for Difference in Means
- 100(1 − α)% Confidence Interval for Ratio of Variances
- Normal Probability Plot
- Comparison of Poisson Rates
- Distribution functions and Parameter Estimation
- Bernoulli Distribution
- Binomial Distribution
- Discrete Uniform Distribution
- Geometric Distribution
- Negative Binomial Distribution
- Poisson Distribution
- Beta Distribution
- Chi-Square Distribution
- Erlang Distribution
- Exponential Distribution
- F Distribution
- Gamma Distribution
- Lognormal Distribution
- Normal Distribution
- Student’s t
- Triangular Distribution
- Uniform Distribution
- Weibull Distribution
- Chi-Square Test for Distribution Fitting
- Kolmogorov–Smirnov Test
- ANOVA (Analysis of Variance)
- Tukey Interval
- Scheffe Interval
- Cochran C-test
- Bartlett Test
- Hartley’s Test
- Kruskal–Wallis Test
- Freidman Test
- Regression
- Notations
- t-Values
- Significance Level
- Adjusted R-Squared
- Standard Error of Estimate
- Predicted Values
- Residuals
- Durbin–Watson Statistic
- Mean Absolute Error
- Predicted Value
- Standard Error of Predictions
- Statistical Quality Control
- Subgroup Statistics
- X-Bar Charts
- Capability Ratios
- R Charts
- S Charts
- C Charts
- U Charts
- P Charts
- NP Charts
- CuSum Chart for the Mean
- Time Series Analysis
- Notations
- Autocorrelation at Lag k
- Partial Autocorrelation at Lag k
- Cross-Correlation at Lag k
- Box-Cox Computation
- Periodogram (Computed Using Fast Fourier Transform)
- Categorical Analysis
Abstract
This chapter presents a collection of formulas, equations, models, and templates for descriptive statistics for data presentation.
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