Mobile Statistics Professor

Key Features:
1. Analysis of Variance (ANOVA)
2. Beta Function
3. Advanced Scientific Calculator
4. Covariance & Correlation
5. Effective Size
6. Error Function
7. Gamma Function
8. Probability
a. CDF & PDF - Chi-Square, Fisher F-Distribution, Normal Distribution, Standard Normal Distribution, Students t-Distribution
c. p-value and Inverse p-value
9. simple and Multiple Regression
10. Solver - Solves Polynomials
11. Summary Statistics
12. Printing
13. Upload data files (csv) to web site (http://mobilestatisticsprofessor.com/upload.html) and process the files from app for Covariance & Correlation, Simple & Multiple Regression and Summary Statistics. Use settings to create login to upload file.

Requirement: Active data connection is required for this application to function properly.

Details:

ANOVA - Analysis of Variance - Features:

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


Beta Function:
1. Beta Function Calculator
2. Incomplete Beta Function Calculator
3. Regularized Incomplete Beta Function Calculator

Advanced Scientific Calculator:
a. 18 Basic Arithmetic Operations
b. Scientific notation
c. Ability to specify and perform mixed mode fractions
d. 3 Probability Operations - nCr, nPr, n! - factorial up to 280
e. 5 Memory Operations
f. 13 Trigonometry operations including hyperbolic and inverse function. Degree, RAD, GRA are supported
g. 7 Statistics functions + ability to repeat data
h. Specify significance and precision
i. Automatic precedence and ability parenthesis
j. Parenthesis to force precedence
k. Random Number generation
l. Rounding
m. Polar to rectangular coordinate conversion and vice versa
n. Precendence without parenthesis is evaluated

Covariance & Correlation:

1. 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.
2. Covariance from correlation
3. Correlation from covariance
4. Significance of correlation

Effect Size:
1. Effect Size - Hierarchical Multiple Regression
2. Effect Size - Multiple Regression
3. Effect size Students t-Test: Calculates the (two-tailed) effect size for Students t-test (Cohens d), given the mean and standard deviation for two independent samples of equal size.

Error Function:
1. 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.
2. Computes value of the complementary error function. Error function evaluated along the integral from x to positive infinity.

Gamma Function:
1. Gamma Function
2. Incomplete Gamma Function
3. Regularized Incomplete Gamma Function

Probability:
1. 5 Probability Density Function (PDF) functions
2. 3 Cumulative Distribution Function (CDF) functions
a. Fisher F-Distribution
b. Normal distribution
c. Standard Normal Distribution
3. 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:
1. Calculates simple and multiple regression
2. Allows entry of input data from key board

Solver
1. Solves polynomial f(x)
2. Value of f(x) at c


Summary Statistics:

Calculates the following 10 summary statistics.

1. min
2. max
3. mean
4. n
5. sum
6. sum of squares
7. standard deviation
8. variance
9. 95th percentile
10. skewness