07/01/2025
Learn about the benefits of the Ti-Nspire CX’s Computer Algebra System (CAS) over the Ti-Nspire CX without CAS. Examples in Algebra and Calculus are...
Made Easy - Step by Step - with the TI-Nspire CX (CAS) Calculator.
Solve Biostatistics problems stepwise using this Ti-Nspire CX Program
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$49.95
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Biostatistics 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!
TI-Nspire CX
TI-Nspire CX CAS
TI-Nspire CX II
TI-Nspire CX II-T CAS
TI-Nspire CX
APP PURCHASE
PROGRAM DESCRIPTION
- Users have boosted their Biostatistics knowledge.
- Research planning
- Research question
- Hypothesis definition
- Sampling
- Experimental design
- Data collection
- Public Health
- 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
- 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
- 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. repeatition
- Binomial Coefficients & Pascal Triangle
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
REGRESSION
- Find Regression Line 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)
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
- 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
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
- 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
TESTS OF SIGNIFICANCE
- Read: About Tests of Significance
- Z-Test for Mean Ho:μ=μo
- Z-Test for Means Ho:μ1=μ2
- 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
- F-Test for Ho:s1=s2
NON PARAMETRIC TESTS
- ChiSquared-Test: Goodness of Fit
- ChiSquared-Test of Independence
- Kruskal Wallis
- Sign Tests
- Wilcoxon Signed Rank Tests
- Wilcoxon Rank Sum Tests
- U-Test Mann Whitney
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: p0*A^n
BUSINESS STATISTICS
- Moving Average
- Simple Exponential Smoothing
- Exponential Smoothing with Seed
- Decision Analysis
- Wald Mini-Max Strategy
- Hurwicz Maxi-Max Strategy
- Savage Maxi-Min Strategy
- LaPlace Expected-Value Strategy
- Unequal Probability Strategy
PROBABILITY & EXPECTED VALUE
- Read: Introduction & Examp
COMBINATORICS
- 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. repeatition
- Binomial Coefficients & Pascal Triangle
HELP & ABOUT
- Help & Use of Keys
- What to Input
- About us
- Set FontSize
- 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
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