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Solve Actuarial
Math problems instantly...Step by Step |
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Joint,
Marginal and Conditional Probabilities for both Continuous
and Discrete distributions.
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Find cdf
given pdf and vice versa.
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Forecasting: Forcast and Project into the future
using tools such as 8 Regressions Methods, Smoothing
(Simple Exponential or using Seeds) or Simple Moving
Averages.
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Find Step
by Step solutions for most Statistics topics:
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Step by
Step Confidence Intervals for mean, proportion, 2
means, 2 proportions, variance, slope, etc.
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Compute Sample
Sizes for Confidence Intervals.
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Step by
Step Tests
of Significance (Z-Tests, T-Tests, ChiSquare Goodness of Fit and
Independence tests, 2-sample T tests, 2 proportion Z
tests, for Variance, etc)
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Read about how
Confidence Intervals behave.
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Read about how
Significant Tests: Type 1 Error, Type 2 Error, Power of
a Test.
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Much easier
handling than other Statistics packages:
Choose to enter Data or Statistic values. Select
Significant/Confidence Levels easily.
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Distributions: plot
them, shade them where desired, compute probabilities,
etc.
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Includes
Binomial, Negative Binomial, Geometric, Normal, Student-t, Exponential,
Poisson, Uniform, Sampling, Multinomial, Hypergeometric,
F-, Chi-Square and more Distributions.
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Newly
added: Double Exponential, Cauchy and Bivariate Normal
Distributions.
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Probability Checker
for independent events, disjoint events.
Also solves P(A or B)=P(A)+P(B)-P(A
and B) for the unknown.
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Regressions: Linear
, Quadratic, Cubic, Quartic, Sinusoidal, Logarithmic,
Exponential, Power, MedMed
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Study Residuals and
plot them
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Step by Step Derive
the Coefficients for a Linear Regression Line, the
Coefficient of Determination and the Correlation
Coefficient.
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Read
Theorems such as Central Limit Theorem, Random
Variables, about Confidence Intervals and Tests, etc
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Also: Z-score
Solver, Random Number Generator, etc
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1 or 2 variable
stats on mean, mode, median, standard deviation,
variance, range, harmonic and geometric mean
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Plots: BoxPlots,
x-y Plots, Scatter Plots, Histograms, Modified Box Plot
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View a simulation
of the Law of Large Numbers, Read about Simpson Paradox.
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Compute Marginal
and Conditional Probabilities.
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Read About Surveys,
Samples, Population, Parameter, Statistics,
Observational Studies vs Experiments.
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Random Variables:
Compute Variance, Expected Value and Standard Deviation.
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Additional
Modules on: Probability, Combinatorics, Algebra, Equation Solver
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Multiple
Regression Analysis Step by Step incl. Statistical
Tests (optional table displays as in other software
packages), Confidence Intervals and Prediction Intervals.
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Control
Charts
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Step by
Step Power-, Beta- , Type 2 Error Analysis for Z Tests
for Means and Proportions.
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Non-Parametric Tests for 1 sample: Sign Test, Rank Sum
Test
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Normal
Probability Plot with Quantiles
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Weibull,
Gamma and Beta Distributions.
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Ideal for
quick review and homework check.
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Easy to
use. Just plug in and the
correct answer shows.
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Read the Documentation
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Read the ACTME User Guide
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DOWNLOAD HERE
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Sample
Capabilities: |
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The main menu
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Overview |
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Forecasting |
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Smoothing using the Simple Exponential Method |
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Forecasting |
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Simple Moving Average |
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Confidence Intervals -
with ease and steps |
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CI for a mean with known
Standard Deviation |
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Statistical Tests -
with ease and steps |
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Z Test for proportions |
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Chi Square Goodness of Fit Test |
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Analyze data -
with ease and steps
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Find Mean, geom. mean, mode, median, std dev, variance,
range |
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Choose among Scatter plots, x-y plots, box plots,
histograms.
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Distributions -
with ease and steps
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Binomial Distribution |
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Normal Distribution |
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Regressions -
with ease and steps |
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Linear Regression |
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Residuals with detailed analysis |
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Compute
Sample Size -
with ease and steps |
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Sample size for CI for mean with know standard deviation |
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Marginal and Conditional Distribution |
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Just enter the table and press enter.
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Simulation :
Law of Large Numbers |
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Flip a coin many times and see how its head proportion gets
closer to 1/2 |
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Random Variables -
with ease and steps |
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Probabilities -
with ease and steps |
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Probability checker for independent and disjoint
events. View rules and examples of probabilities.
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Compute expected values |
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