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TI does not sell this App. Please purchase this App from SmartSoft®.
Statistics and Probability Made Easy is the ultimate educational Statistics and Probability tool.
Users have boosted their statistics understanding and success by using this user-friendly product. A simple menu-based navigation system permits quick access to any desired topic.
This comprehensive application provides step by step solutions, examples, tutorials, theorems and graphical animations.
View sample solutions with screenshots of the app at http://www.ti89.com/spme/index_spme.htm.
Statistical Tests - Step by Step
Enter data or statistics, select the level of significance and view how the appropriate statistical test is performed until the conclusion of the test: reject or fail to reject Ho.
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| • | Z-Test for mean where sigma is known (1 or 2 samples). |
| • | T-Test for mean where sigma is unknown (1 or 2 samples). |
| • | Z-Test for proportion (1 or 2 samples). |
| • | Test for Regression Line Slope |
| • | ChiSquare Test for Goodness of Fit |
| • | ChiSquare Test for Independence |
| • | F Test for 2 variances |
| • | ANOVA to test several means |
| • | Non-parametric Tests : Sign Test, Sign Rank Test, Kruskal-Wallis, etc |
| • | Read about Errors of Significant Tests: Type 1 Error, Type 2 Error, Power of a Test. |
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Confidence Intervals - Step by Step
Enter data or statistics, select the confidence level and view how the appropriate confidence interval is generated.
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| • | CI for mean where sigma is known (1 or 2 samples). |
| • | CI for mean where sigma is unknown (1 or 2 samples). |
| • | CI for proportion (1 or 2 samples). |
| • | CI for Regression Line Slope |
| • | Compute the sample size for CI’s. |
| • | Read about how CI’s behave and their relationship to two-sided tests. |
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Distributions
Compute any Statistics problem involving below’s distributions (i.e. P(a<X<b) or P(X≥a), etc. You may also graph and shade them using their entered parameters, create a table of probabilities and cumulative probabilities.
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| • | Normal Distribution |
| • | Binomial Distribution |
| • | Geometric Distribution |
| • | Student’s T Distribution |
| • | Exponential Distribution |
| • | Poisson Distribution |
| • | Uniform Distribution |
| • | Sampling Distribution |
| • | Chi2 Distribution |
| • | Multinomial Distribution |
| • | Hypergeometric Distribution |
| • | F Distribution |
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| Regressions
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| • | Perform Linear Regression. Compute r, r2, a, b, residuals, sum of squares |
| • | Step by Step: Derive the Coefficients for a Linear Regression Line, the Coefficient of Determination and the Correlation Coefficient |
| • | Study Residuals and plot them |
| • | Correlation vs Causation |
| • | Interpretation of derived Coefficients |
| • | Further Regressions: Quadratic, Cubic, Quartic, Sinusoidal, Logarithmic, Exponential, Power, MedMed |
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| Data Analysis
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| • | Plot and Analyse Data: Histogram, Scatterplot, x-y Box Plot, modified Box Plot |
| • | Measures of Centre: Mean, Median, Mode, Harmonic Mean, Geometric Mean |
| • | Measures of Spread: Standard Deviation, Variance, Max , Min, Range |
| • | Moving Average, Weighted Average |
| • | Visual Simulation: Law of Large Numbers |
| • | Random Number Generator (customisable) |
| • | Random Variables: Compute Variance, Expected Value and Standard Deviation |
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| Probabilities and Combinatorics
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| • | All about Probabilities: Computation, read Rules and Examples |
| • | Automatic Probability Checker for independent events, disjoint events. |
| • | Also solves P(A or B)=P(A)+P(B)-P(A and B) for the unknown. |
| • | Compute Marginal and Conditional Probabilities. Step by Step |
| • | Compute Odds of Events |
| • | Visual Simulation: Law of Large Numbers |
| • | Compute Combinations nCr and Permutations nPr, n!, Counting Principle, Pascal Triangle |
| • | Markoff Chains, Stochastic Matrices, Probability Vectors, Absorbing States |
| • | Matrix Computations: Determinants, Inverse, Powers, Random Matrix, Transpose and much more |
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| Additional Features
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| • | Z-Score Solver |
| • | Read Theorems such as Central Limit Theorem, Random Variables, Simpson Paradox about Confidence Intervals and Tests, etc |
| • | Read to learn about Surveys, Samples, Population, Parameter, Statistics, Observational Studies vs Experiments. |
| • | Additional Modules: Percentages, Ratios, Proportions, Exponential and Logarithmic Functions, Exponential Function Solver, Step by Step Expanding and Condensing of Logarithms, Algebra, Equation Solver |
| • | Ideal for quick review and homework check |
| • | Easy to use. Just plug in and the correct answer shows |
