Statistical Tables
These tables and charts were computed by Peter M Lee and may be used freely
by anyone without any formalities. No warranty of accuracy is given.
The LaTeX sources of these tables are also
available.
Postscript versions of these tables
are also available.
- Binomial
cumulative distribution function
- Characteristic Qualities of Sequential
Tests of the Binomial Distribution Computed for various values of
θ0 and θ0 with α = 0.05 β = 0.10.
- Chart relating ρ1 (in green) and
ρ2. (in red) to φ1 and φ2 for
an AR(2) process R program for AR(2)
chart.
- Chart relating ρ1 (in green) and
ρ2 (in red) to θ and φ for an ARMA(1,1)program for
ARMA(1,1) chart.
- Chart relating ρ1 (in green) and
ρ2 (in red) to φ1 and φ2 for
an MA(2) process R program for MA(2).
- Chi-squared (χ2)
percentage points
- Duncan’s multiple range test
- Durbin-Watson statistic
- F percentage points
- Factors useful in the construction of
control charts
- Kemp’s nomogram for the ARL of a cumulative
sum scheme when xi is normally distributed
- Normal cumulative distribution function
- Orthogonal arrays (Taguchi designs)
- Poisson cumulative distribution function
- Program for developing acceptance sampling plans
This can be used with the R program
(which is available free) or with S-plus.
- Q* (BLUS) tables
(alternative to Durbin-Watson).
- Student’s t percentage points.
- Critical values of R for the
Mann-Whitney rank-sum test.
- Critical values for T in the Wilcoxon
Matched-Pairs Signed-Rank test.
- Tables for Bayesian statistics.
- Taguchi designs (Orthogonal arrays).
- R program for highest density regions (HDRs).
- Values used in deriving double-sampling
plans with a specified p1 and p2
(independently computed on the lines of Tables 8.2 and 8.3 of A J Duncan,
Quality Control and Industrial Statistics, Homewood, Ill: Richard D
Irwin 1974).
- Weights for fitting polynomial trends
- Upper Critical Values for the Friedman Test
(k treatments and b blocks)
- Critical Values eα
for Multiple Comparisons based on the Friedman
Test
- Upper Critical Values for the Kruskal-Wallis
Test (k samples)
- Upper Critical Values for the Kruskal-Wallis
Test
- Critical Values dα
for Multiple Comparisons based on the
Kruskal-Wallis Test
- Upper Critical Values for Spearman’s Rank
Correlation Coefficient
Rτ
- Upper Critical Values for Kendall’s Rank
Correlation Coefficient τ.
- Kolmogorov-Smirnov One-Sample Test
These tables and charts were computed by Peter M Lee and may be used freely
by anyone without any formalities. No warranty of accuracy is given.
The LaTeX sources of these tables are also
available.
Postscript versions of these tables
are also available.
This page is maintained by
Peter M Lee