Mobile Statistics Pro - Trial

Dreaded of Statistics? No more! College and MBA statistics made easy.

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.