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F1: Statistics |
F2: Regressions |
F3: Distribution |
F4: Confidence Intervals |
F5: Tests |
F6:
More Statistics |
F7:
Exit |
1 |
Plot Data
(incl. Normal Probability Plot) |
Linear
Step by Step |
Binomial |
About CI |
About Statistical Tests |
Probabilities |
Exit |
2 |
Compute Average, Median, Mode |
Residuals |
Negative Binomial
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Margin of Error |
Stat Tests or Confidence Intervals |
Pdf(X) continuous |
About |
3 |
Compute Mean,
Variance and Standard Deviation stepwise |
Interpret b, r,r^2 |
Geometric |
Mean μ, Variance
known |
Z-Test for Mean μ |
Joint Probability -
continuous |
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4 |
1 or 2-Variable
Statistics |
Correlation does not equal Causation |
Multinomial |
Find Sample Size |
Z-Test for Mean μ1-μ2 |
Joint Probability -
discrete |
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5 |
Skewness& Kurtosis |
Quadratic |
Hyper-Geometric |
μ1-μ2 , Variance known |
Z Test for Proportion p |
Joint Probability -
discrete2: Find means, variance, covariance, correlation coeff.
etc |
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6 |
Rules on μ, σ |
Cubic |
Poisson |
Proportion p |
Z Test for p1-p2 |
Find cdf given pdf and vice versa. |
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7 |
Weighted Average |
Quartic |
Normal |
Find Sample Size |
T Test for Mean μ |
Combinatorics |
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8 |
Moving Average |
Power |
Student T |
2 Proportions p1-p2 |
T Test for mean μ1- μ2 |
Exponents and Logarithms:
Functions, Rules, Solver |
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9 |
Covariance Matrix |
Exponential |
Chi-Square |
Mean μ, Variance unknown |
T Test for slope β |
Random
Variables |
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A |
Z-score Solver |
Logarithmic |
Exponential |
μ1-μ2, Variance unknown |
Test Variance σ2 |
Markov Chains incl.
-Probability Vector
-Stochastic Matrices
-Nth and Terminal States
-Absorbing States |
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B |
Random Numbers |
Sinusoidal |
F |
Variance σ2
(Population) |
F Test for σ1=σ2 |
Matrices incl.
-Determinants
-Inverse
-Addition, Subtraction, Multiplication
-Solve n by n System |
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C |
Draw Random Samples
from a variety of distributions |
Logistic |
Beta |
Variance σ2
(Sample) |
ANOVA
μ1=μ2=μ3=.. |
Ratios, Proportions |
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D |
Law of Large Numbers |
MedMed |
Gamma |
Slope β |
2-way ANOVA |
Percentages |
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E |
On Samples, Surveys
and more |
Multiple Regression |
Weibull |
Multiple Regression:
Tests |
ChiSquare Goodness of Fit Test
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Compute |
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F |
Simpson Paradox |
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Uniform |
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ChiSquare Test for Independence
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Solver |
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G |
Control Chart |
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Sampling |
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4 NonParametric Tests:
Sign Test,
Rank Sum T.
Signed Rank Sum
Kruskal Wallis |
Simplify |
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H |
Compute Gamma(n)
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Margin and
Conditional |
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Friedman Test |
Factor |
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I |
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Double Exponential
Distribution |
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4 NonParametric Tests
for 1 samples:
Sign Test,
Rank Sum T.
Signed Rank Sum |
Expand |
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J |
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Cauchy Distribution |
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Multiple Regression:
Confidence and Prediction Intervals |
Common Denominator |
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K |
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Bivariate Normal
Distribution |
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Simplify Fractions |
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L |
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Discrete
Probability Distribution |
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M |
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Grouped
Frequency Distribution |
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