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Mobile Statistics Professor

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    Description

    Summary of Features:

    1. Analysis of Variance (ANOVA)
    2. Beta Function
    3. Scientific Calculator (infix)
    4. Covariance & Correlation
    5. Effective Size
    6. Error Function
    7. Gamma Function

    8. Probability
    a. CDF & PDF
    b. p-value and Inverse p-value

    9. Simple and Multiple Regression
    10. Solver (with reverse Polish post-fix calculator)
    11. Summary Statistics
    12. Context Sensitive Help videos
    13. Call support
    14. E-Mail support
    15. Accepts data files to process
    16. Draws graphs & charts

    Detail:

    ANOVA - Analysis of Variance - Features:

    Intra-class Correlation Calculator for ANOVA
    One-Way ANOVA Calculator
    From Summary Data - supply number of subjects, mean and standard deviation
    From Detail Data - supply data within a group and keep adding groups
    From Data File - supply tab delimited file.

    Beta Function:

    Beta Function Calculator
    Incomplete Beta Function Calculator
    Regularized Incomplete Beta Function Calculator

    Scientific Calculator (Infix notation):

    18 Basic Arithmetic Operations
    Ability to specify and perform fractions
    5 Probability Operations
    4 Memory Operations
    13 Trigonometry operations
    5 Statistics functions + data repeat
    Specify significance and precision
    Autometic precedence and ability parenthesis

    Covariance & Correlation:

    Covariance and Correlation by entering data. Data sets need to appear column wise. When a row is added, the data points for all the groups in the same position are added.
    Covariance and Correlation from file
    Covariance from correlation
    Correlation from covariance
    Significance of correlation

    Effect Size:

    Effect Size - Hierarchical Multiple Regression
    Effect Size - Multiple Regression
    Effect size Student's t-Test: Calculates the (two-tailed) effect size for Student's t-test (Cohen's d), given the mean and standard deviation for two independent samples of equal size.

    Error Function:

    Computes the value of the error function (a.k.a the Gauss error function) evaluated at a value of x. The value returned will be the error function evaluated along the integral from zero to x.
    Computes value of the complementary error function. Error function evaluated along the integral from x to positive infinity.

    Gamma Function:

    Gamma Function
    Incomplete Gamma Function
    Regularized Incomplete Gamma Function

    Probability:

    5 Probability Density Function (PDF) functions
    3 Cumulative Density Function (CDF) functions
    a. Fisher F-Distribution
    b. Normal distribution
    c. Standard Normal Distribution
    9 p-Values + 5 inverse
    a. Chi-Square test
    b. Correlation Coefficient
    c. Fisher F-test & inverse
    d. Fisher' Exact Test
    e. Normal - cumulative, 1 & 2-Tailed & inverse
    f. Student T-Test & inverse

    Simple and Multiple Regression:

    Calculates simple and multiple regression
    Accepts input from data file
    Allows entry of input data from key board
    4. Draws graphs for simple regression

    Solver (with reverse Polish post-fix notation calculator):

    Solves f(x)
    Value of f(x) at c
    fc clears fx
    Cij supplies coefficient
    20 Basic Arithmetic functions
    Fraction functions
    5 Probability Operations
    4 Memory Operations
    13 Trigonometry operations
    5 Statistics functions + data repeat
    Specify significance and precision
    Simplify fractions

    Summary Statistics:

    Calculates the following 10 summary statistics.

    min
    max
    mean
    n
    sum
    sum of squares
    standard deviation
    variance
    95th percentile
    skewness
    From entering data points or picking up data in a file where each line contains a data point.

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    Users review

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