TI-Nspire CX: Statistics Solver

Statistics Made Easy - Step by Step - with the TI-Nspire CX (CAS) Calculator.

Solve Statistics problems stepwise using this Ti-Nspire CX Program

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Statistics Made Easy

Runs on TI-Nspire CX, TI-Nspire CX CAS, TI-Nspire CX II and TI-Nspire CX II CAS only.
Program does not run on computers!

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PROGRAM DESCRIPTION

Users have boosted their Statistics and Probability knowledge.
Shows Step by Step solutions for most Statistics and Probability 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 F Test for 2 variances
Step by Step Regression.
Read about how Confidence Intervals behave.
Read about 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: compute probabilities, etc.
Includes Binomial, Geometric, Normal, Student-t, Uniform, Exponential, Poisson, 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.
Regressions: Linear , Quadratic, Cubic, Quartic, Sinusoidal, Logarithmic, Exponential, Power, MedMed
Step by Step Derive the Coefficients for a Linear Regression Line, the Coefficient of Determination and the Correlation Coefficient.
Also: Z-score Solver, Random Number Generator, etc
1 or 2 variable stats on mean, mode, median, standard deviation, variance, range
Random Variables: Compute Variance, Expected Value and Standard Deviation.
Additional Modules x`on: Probability, Combinatorics, Percentages, Ratios, Proportions, Exponential and Logarithmic Functions, Exponential Function Solver, Equation Solver

FUNCTIONALITY & MENU ITEMS OF APP :

COMBINATORICS & RANDOM NUMBERS

n1*n2*n3*.. = Multiplication Principle
n! = Number of Rearrangements
nPr = Number of ways to rearrange r given n
nCr = Number of ways to pick r given n
n^r = # ways to rearrange n items repeated r times
(n+r-1)!/((n-1)!*r!) = Select r given n w. repetition
Binomial Coefficients & Pascal Triangle
Draw Random Number(s) over interval (with or without repeats)
Draw Sample from Normal Distribution
Draw Sample from Binomial Distribution

PROBABILITY & EXPECTED VALUE

Read: Introduction & Examples
Read: Rules & Properties
Odds <-> Probability
Conditional Probability
Expected Value: Find μ and s
Read: Cards
Read: Dice
Read: Marbles
Read: Coins
P(A or B)=P(A)+P(B)-P(A and B)
Check if A and B are dependent or disjoint
P(A or B or C)

STATISTICS

Find Average
Find Geometric Mean and Harmonic Mean
Find Weighted Average
Find Std Deviation
Find Quartiles & 5-Number Summary
Find Percentiles
Z-score Solver
Central Limit Theorem
Survey Sampling
MAP Univariate Gaussian Distribution

REGRESSION

Find Regression Line y=mx+b
Find Regression Line y=mx+b given Mean, Standard Deviation, Correlation Coefficient r
Find Predicted Value given y=mx+b
Find Regression Line y=mx+b Step by Step
Find Regression Line y=a+bx
Read: All about Linear Regression
Read: Correlation is not Causation!
Find Median-Median Line y=mx+b
Find Quadratic Regression y=ax^2+bx+c
Find Cubic Regression y=ax^3+bx^2+cx+d
Quartic Regression y=ax^4+bx^3+cx^2+dx+e
Find Power Regression y=a*b^x
Find Exponential Regression y=a*x^b
Find Logarithmic Regression y=a+b*ln(x)
Find Sinusoidal Regression y=a*sin(bx+c)+d
Logistic Regression y=c*e^(bx)/(e^(bx)+a)
Multiple Linear Regression y=b0+b1x+b2x

DISTRIBUTIONS

Binomial Distribution Table
Cumulative Binomial Distribution
Inverse Binomial Distribution Solver: Find #successes given cumulative probability, success probability and #trials.
Inverse Binomial Distribution Solver: Find #trials given cumulative probability, success probability and #successes.
Negative Binomial Distribution
Normal Distribution
Bernoulli Trial Distribution
Uniform Discrete Distribution
Inverse Normal Solver
READ: About Normal Distributions
Exponential Distribution Table
Geometric Distribution Table
Uniform Distribution
Cumulative Geometric Distribution
Poisson Distribution Table
Cumulative Poisson Distribution
Student T-Distribution Table
Cumulative T-Distribution
Inverse T Solver
Chi^2-Distribution Table
Cumulative Chi^2-Distribution
Inverse Chi^2-Solver
F-Distribution Table
Cumulative F-Distribution
Inverse F-Solver
Enter & Analyze your own Discrete Distribution
READ: Properties of Continuous Distribution
READ: Properties of Discrete Distribution
Maximum Likelihood Parameter Estimation
Error Function
Complementary Error Function
Beta Function
Beta Distribution
Beta CDF
Gamma Function
Gamma Distribution

TESTS OF SIGNIFICANCE

Read: About Tests of Significance
Z-Test for Mean Ho:μ=μo
Z-Test for Means Ho:μ1=μ2
Pooled Standard Deviation and Variance
Z-Test for Proportion Ho:p=po
Z-Test for Proportions Ho:p1=p2
T-Test for Mean Ho:μ=μ_o
T-Test for Means Ho:μ1=μ2
T-Test for Mean Ho:μ-μ_o-DELTA (pooled and unpooled)
F-Test for Ho:s1=s2
Slope of Linear Regression Significance Test
Multiple Linear Regression Significance Test

NON PARAMETRIC TESTS

ChiSquared-Test: Goodness of Fit
ChiSquared-Test of Independence
ChiSquared-Test of Heterogeneity
Kruskal Wallis
Sign Tests
Wilcoxon Signed Rank Tests
Wilcoxon Rank Sum Tests
U-Test Mann Whitney
Friedman Test

CONFIDENCE INTERVALS

Read: Confidence Intervals & their Behavior
CI for Mean μ with known Standard Deviation
CI for Mean: Sample Size given Margin of Error
CI for 2 Means with known Standard Deviations
CI for Mean μ with unknown Standard Deviation
CI for 2 Means with unknown Standard Deviations (pooled and unpooled)
Pooled Standard Deviation and Variance
CI for Proportion p using Normal Distr.
CI for Proportion p using exact Bliss method
CI for p: Sample Size given Margin of Error
CI for 2 Proportions
CI for Variance s^2 of Population
CI for Variance s^2 of Sample
Linear Regression Slope b Confidence Interval
Multiple Linear Regression Confidence Interval

BUSINESS STATISTICS

Moving Average
Exponential Smoothing
Decision Analysis: MiniMax, Maxi-Max, Maxi-Min, Expected Value Strategies

MARKOV CHAINS & STOCHASTIC MATRICES

Stochastic and Regular Stochastic Matrix
Probability Vector
Terminal State & Fixed Probability Vector
Find A^n
nth State of a Markov Chain: po*A^n

MOMENT GENERATING FUNCTION

Find Moment Generating Function of Exponential Function
Find Mean and Variance of a Moment Generating Function

Test the FREE Trial here.

View entire Functionality in PDF file.

Testimonials

Feedback That Speaks Volumes

★ Reviews

Amazing support and quick to act! Review by Tyler on 17 Mar 2025review stating Amazing support and quick to act!

They were very helpful with answering questions I had about the application. They are extremely open to implicating methods they hadn't already included. They are miracle works and got back to me in less than two days with an updated application!! 10/10 would recommend.

Tyler

Great program and helpful support

This app is very helpful for students in Data Science. I needed the addition of Gamma and Beta Distribution and Mike helped make it happen. Thankful for finding this TI-nspire CX app and looking forward to seeing more added, especially Statistics for Data Science.

Angel B.

Great products and even better customer support

I have purchased 2 products and they all work very well. On top of that, any issues I have had so far, Mike is able to help and is very timely in doing so.

Ian

Helped me ace the SAT

I bought the SAT Math app for my TI Nspire CX CAS and it was a lifesaver. I ended up getting an 800 on the math section; it is invaluable. I also used other apps, like the one for statistics, and they were also extremely helpful.

Moham Y.

Great Resource

Using the Made Easy apps has given me a valuable resource to verify my work; in addition, they enhance learning

Glenn G.

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Latest News & Updates

07/01/2025

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