Business Statistics Made Easy - Step by Step Math using the TI89 Calculator
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Smoothing using the Simple Exponential Method
Simple Moving Average
Step by Step - Confidence Intervals
Step by Step - Statistical Tests
Step by Step - Analyze data
Step by Step - Distributions
Step by Step - ANOVA
Step by Step - F Test
Step by Step - The Sign Test
Step by Step - Kruskal Wallis Test
Step by Step - Regressions
Step by Step - Compute Sample Size
Marginal and Conditional Distribution
Law of Large Numbers
Exponential and Logarithmic - Functions and Rules
Business Statistics Made Easy
Decision Analysis: Step by Step Analysis of Payoff Matrices using Maximax, Minimax, Maximin, Expected Values. For your convenience, we created an all in 1 Explorer.
Forecasting: Forcast and Project into the future using tools such as 8 Regressions Methods, Smoothing (Simple Exponential or using Seeds) or Simple Moving Averages.
Find Step by Step solutions for most Statistics topics:
Step by Step Confidence Intervals for mean, proportion, 2 means, 2 proportions, variance, slope, etc.
Compute Sample Sizes for Confidence Intervals.
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)
Step by Step Non-Parametric Tests: Sign Test, Rank Sum Test, Signed Rank Test, Kruskal Wallis Test.
Step by Step F Test for 2 variances
Step by Step ANOVA to test multiple means.
Step by Step 2-way ANOVA.
Read about how Confidence Intervals behave.
Read about how Significant Tests: Type 1 Error, Type 2 Error, Power of a Test.
Much easier handling than other Statistics packages: Choose to enter Data or Statistic values. Select Significant/Confidence Levels easily.
Distributions: plot them, shade them where desired, compute probabilities, etc.
Includes Binomial, Negative Binomial, Geometric, Normal, Student-t, Exponential, Poisson, Uniform, Sampling, Multinomial, Hypergeometric, F-, Chi-Square and more Distributions.
Probability Checker for independent events, disjoint events. Also solves P(A or B)=P(A)+P(B)-P(A and B) for the unknown.