Business Statistic

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

Solve Business Statistics problems stepwise using this Ti-Nspire CX Program

Price:

$49.95

Business Statistics Made Easy

Runs on TI-Nspire CX CAS 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

Enter the last 8 digits of your TI-Nspire's Product ID.

Located under 5:Settings → 4:Status → About

Sample ID: 1008000007206E210B0BD92F455. HELP .
(You would only type BD92F455 in below's box.)

Enter last 8-digits of the ID:
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During the PayPal checkout, you may select GUEST checkout
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After payment is made you will be sent an email containing app and key.

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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, 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
  • 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 mu 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 Weighted Average
  • Find Std Deviation
  • Find Quartiles & 5-Number Summary
  • Find Percentiles
  • Z-score Solver
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
  • Normal Distribution
  • Inverse Normal Solver
  • Read: About Normal Distributions
  • Exponential Distribution Table
  • Geometric Distribution Table
  • 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
Confidence Intervals
  • Read: Confidence Intervals & their Behavior
  • CI for Mean mu with known Standard Deviation
  • CI for Mean: Sample Size given Margin of Error
  • CI for 2 Means with known Standard Deviations
  • CI for Mean mu with unknown Standard Deviation
  • CI for 2 Means with unknown Standard Deviations
  • CI for Proportion p
  • 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:mu=mu_o
  • Z-Test for Means Ho:mu1=mu2
  • Z-Test for Proportion Ho:p=po
  • Z-Test for Proportions Ho:p1=p2
  • T-Test for Mean Ho:mu=mu_o
  • T-Test for Means Ho:mu1=mu2
  • F-Test for Ho:s1=s2
  • ChiSquared-Test: Goodness of Fit
  • ChiSquared-Test of Independence
Markov Chains & Stoch. 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
  • Portfolio Return
  • Portfolio Risk
Decision Analysis
  • Wald Mini-Max Strategy
  • Hurwicz Maxi-Max Strategy
  • Savage Maxi-Min Strategy
  • LaPlace Expected-Value Strategy
  • Unequal Probability Strategy
Help & About
  • Help & Use of Keys
  • What to Input
  • About us
  • Set FontSize
Testimonials

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