1. The max data number for each statistics is 100.
2. Each statistics method has useful [Help], [Example] and [Share] buttons.
3. Some tests have graph functions.

Detailed usage can be found in the "How to use" section below the list of statistics methods.

### Parametric statistics ###

1. Mean, SD, SEM, Skewness, Kurtosis
- Arithmetic, Geometric and Harmonic means
- Standard Error, Standard Deviation
- Confidence interval
- Sum
- Sum of Square
- Variance
- Skewness
- Kurtosis
2. Shapiro-Wilk test (Normality test)
- Shapiro-Wilk test
- Normal probability plot (graph)
3. SD-SEM Conversion
4. One-sample t-test (Comparison of mean)
5. Paired sample t-test
6. Two-sample t-test (Comparison of means)
- F-test to compare 2 variances
- t-test(Student and Welch)
7. F-test for equality of 2 variances
8. Levene test for homogeneity of variance
(n >=3 groups)
9. One-way ANOVA
10. Multiple t-test (with Bonferroni correction)
11. Pearson correlation coefficient (Linear regression)
- Correlation coefficient
- Regression coefficient
- Test for correlation coefficient
- Regression line (graph)
12. Test for difference between one-sample correlation coefficient and compared value
13. Test for difference between two-sample correlation coefficients

### Nonparametric statistics ###

1. Median, Range and Quartiles
- Quartile deviation
- Boxplot (graph)
2. Mann-Whitney U test (= Wilcoxon rank sum test)
3. Median test
(Mood's Median test)
4. Kruskal-Wallis test and multiple comparisons (Bonferroni correction)
5. Sign test (paired sample)
6. Wilcoxon signed-rank sum test (paired 2 groups)
7. Binomial test I [** Exact method (<=100)] (= One-sample proportion test)
8. Binomial test II [** Approx method] (= One-sample proportion test)
9. Two-sample proportion test [** Approx method]
10. Chi-square test (Goodness of Fit)
11. Chi-square test(Independence, 2x2)
12. Fisher's exact test
13. Chi-square test(Independence, mxn)
14. McNemar test (paired case)
(Chi-square test of paired data. Exact Method)
15. Spearman rank correlation coefficient


### How to use ###

## Data entry ##
1. You can put data into the input-window by using a keyboard or by pasting data from this app (other statistics methods) or other apps (e.g. text editors and Google Sheet).
2. Since one input-window([A]..[D]) accepts entering of many numbers, it is easy to edit entered data.
3. Except for the frequency data, the maximum number of samples that can be processed is 100/group. Chi-square and Fisher exact tests accept up to frequency of 1,000,000.
4. When entering a lot of data, it is convenient to paste data from Google Sheets, etc. Original and result data can be saved to the same file by using copy/paste functions.

## Sharing data and results ##
1. [Input-window] has own copy/paste functions.
2. Input and Result data can be sent to mailers or saved to clouds (Google Drive, OneNote etc) by [Share] button.
3. Data on the output-window can be copied to your device by [Copy Results to ClipBoard] button.

## Saving graph ##
1. Please use the screenshot function of your device.

## Others ##
1. Entered data and results calculated by each method are memorized until the next use. This function is a feature of this app and it is very convenient. (Since data are saved in special memory that can only be accessed with this app, the data can not be read or written by other apps. [All Clear] button of option-menu(3 dot) on the first screen erases all saved data.)
2. This app can be used for basic statistics, biostatistics and medical statistics, etc. It can be also used to study statistical method by using textbooks or WEB pages.


### Acknowledgment###
The AChartEngine library distributed under the Apache 2.0 license was utilized to make chart.
https://github.com/ddanny/achartengine
http://www.apache.org/licenses/LICENSE-2.0.html
http://www.apache.org/licenses/LICENSE-2.0.html

Stats tester ver 4.0.1
Minor changes to previous major update version 4.0.
1) Binomial test(1 and 2): Removed extra line breaks in [Hint] display. Matched the input-data name with the result display.
2) One-sample t-test: In the help menu, "Population (Reference) mean" was changed to "Compared mean (c)".