Description
### Features of this app ###
1. By using Stats tester plus, you can perform some statistics tests with an easy operation. Currently, 27 methods are available.
2. Since one sample group (multiple data) is entered in one window, it is easy to enter, add, and modify many data.
3. In statistics tests that process raw data , the maximum number of data (max N) is 100 per one-input window (= one group).
4. A built-in 10-key pad in a phone or calculator layout makes data entry easy.
5. From ver 2.0, except for some tests, one-tailed tests are supported in addition to two-tailed tests.
6. Input data and all output screen can be recorded by sharing (mail, memo). No need to take notes on paper.
7. Data can be imported into the input window from apps such as Numbers and Excel by copy/paste, although it takes a little time.
(When you have an M1 Mac, simply copy and paste your Numbers data into the input window of this app.)
8. You can check the usability of this app with Stats tester mini (free version) .
Stats tester mini has fewer tests than Stats tester plus and does not support one-tailed tests. Its usability is the same as Stats tester plus. This developer hopes you confirm the usability with Stats tester mini.
## how to use ##
Each test screen has [Help], [Example], [Graph], [Calc], [Clear] and [Share] buttons.
### Statistics methods ###
A. Basic Statistics (Mean,SD,Median, etc.)
1. Mean, SD, Skewness, Kurtosis, etc.
( Means (Arithmetic, Geometric and Harmonic), Standard Deviation、Standard Error、Confidence interval (CI, 95 and 99%), Variance, Unbiased variance, Coefficient of variation (%CV), Skewness, Kurtosis)
2. Median, Range, Quartiles and Boxplot
(Median, Maximum, Minimum, Quartiles, Quartile Deviation, Boxplot Graph)
B. Test for Mean,Variance,etc. (Parametric)
1. One-Sample t-Test (to Compared Mean)
2. Two-Sample t-Test (Student's and Welch's t-Tests)
3. Paired t-Test (Paired Sample)
4. F-Test of Variance for Two Samples
5. Levene Test of Variance for Multiple Samples
6. One-Way Analysis of Variance (ANOVA)
7. Multiple t-Test with Bonferroni Correction
C. Test for Median, etc. (Nonparametric)
1. Mann-Whitney U Test (Two Samples)
2. Median Test (Two Samples)
3. Wilcoxon Signed Rank Test (Paired Sample)
4. Kruskal-Wallis Test & Multiple Comparisons (by Bonferroni Correction)
D. Test for Proportion
1. Sign Test (Paired Sample)
2. Binomial Test [Exact Method] (One-Sample Proportion Test)
3. Binomial Test [Approx Method] (One-Sample Proportion Test)
4. Two-Sample Proportion Test [Approx. Method]
E. Test for Frequency
1. Chi-Square Test (Goodness of Fit)
2. Chi-Square Test (2x2, Independence)
3. Chi-Square Test (mxn, Independence)
4. McNemar's Test (Chi-Square Test for Paired Sample)
5. Fisher's Exact Test (2x2)
F. Test for Correlation
1. Linear Regression and Test for Pearson Correlation Coefficient
2. Test for Differences in Correlation Coefficients (One Sample)
3. Test for Differences in Correlation Coefficients (Two Samples)
4. Spearman Rank Correlation Test
G. Other (Normality Test)
1. Shapiro-Wilk Test (Normality) and Q-Q Plot
### 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