Stats tester mini

### Features of this app ###

1. By using Stats tester mini, you can perform some statistics tests and obtain graphs by an easy operation.
2. Since one sample group (multiple data) is entered in one window, it is very easy to add or modify the data.
3. Unlike other test apps, not only final conclusions such as p-values, but also intermediate results are shown.
4. Input data and test results can be recorded by sharing (mail, memo). There is no need to make notes on paper.
5. You can import data by copy / paste from apps such as Numbers and memo, etc.
6. Numerical input is very easy with the built-In numeric keypad (phone and calculator layouts).

## how to use ##

Each test screen has [Help], [Example], [Graph], [Calc], [Clear] and [Share] Buttons.

### Statistic methods ###

Below are the statistical methods in Stats tester mini. (The upgraded version "Stats tester plus" offers 18 more methods.)

1. Mean, SD, SEM, Skewness, etc.
1) Arithmetic, Geometric and Harmonic means
2) Standard Deviation (2)
3) Standard Error of the mean (sem)
4) 95 and 99% Confidence interval (CI)
5) Sum
6) Sum of Square
7) Variance, Unbiased variance
8) Coefficient of variation (%CV)
9) Skewness (2)
10) Kurtosis (3)
11) Graph

2. Median, Range, Quartiles, etc.
1) Median
2) Maximum
3) Minimum
4) 1st Quartile
5) 3rd Quartile
6) Quartile Deviation
7) Boxplot Graph

3. t-test (2 independent samples)
(Student & Welch)
1) Mean
2) Standard deviation (2)
3) Standard error of the mean (sem)
4) Student t-test --> p value
5) Welch's procedure --> p value
6) Graph

4. Paired t-test (Paired sample)
1) Mean
2) Standard error of the mean (sem)
3) Paired t-test --> p value
4) Graph

5. 1-Sample t-test (to compared mean)
1) Mean
2) Standard deviation (2)
3) Standard error of the mean (sem)
4) One-sample t-test --> p value
5) Confidence interval (CI)
6) Graph

6. 1-Way Analysis of variance (ANOVA)
(4 groups)
1) Mean
2) Standard error of the mean (sem)
3) Analysis of variance --> p value
4) ANOVA table
5) Graph

7. Test for Pearson Correlation coefficient
1) Correlation coefficient
2) Regression coefficient (Linear Regression)
3) Coefficient of determination
4) Test for correlation coefficient --> p value
5) Graph

8. Shapiro-Wilk test and Q-Q plot
(Normality test)
1) Kurtosis α4 (α4=3 --> normal distribution)
2) Shapiro-Wilk test --> p value
3) Q-Q Plot (Normal probability plot) graph

9. Chi-square test (2 x 2)

### Acknowledgment ###

The iOs Chart library distributed under the Apache 2.0 license was utilized to make graphs.
https://github.com/danielgindi/Charts
http://www.apache.org/licenses/LICENSE-2.0.html