Stats tester mini vs Hypothesis Test

### 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 enter or edit 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 Excel, Numbers, memo, etc. 6. Numerical input is very easy with the built-In ten-keyboard (phone and calculator layouts). 7. This app has been fully verified to work with the M1 Mac. The M1 Mac makes it easy to work with other apps (Numbers, Excel etc.). ## how to use ## Each test screen has [Help], [Example], [Graph], [Calc], [Clear] and [Share] Buttons. On the "How to use this app" screen, details such as its features and specifications are written. ### Statistic methods ### Below are the statistical methods in Stats tester mini. (The upgraded version "Stats tester plus" offers 18 more methods.) 1. Mean, SD, Skewness, Kurtosis, 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 and Boxplot. 1) Median 2) Maximum 3) Minimum 4) 1st Quartile 5) 3rd Quartile 6) Quartile Deviation 7) Boxplot Graph 3. One-Sample t-Test (to Specified 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 4. Two-Sample t-Test (Student's and Welch's t-Tests) 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 5. Paired-Sample t-test 1) Mean 2) Standard error of the mean (sem) 3) Paired t-test --> p value 4) Graph 6. One-Way Analysis of Variance (ANOVA) 1) Mean 2) Standard error of the mean (sem) 3) Analysis of variance --> p value 4) ANOVA table 5) Graph 7. Linear Regression and 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 (Normality) and Q-Q Plot 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 (2X2 Independence) ### Acknowledgment ## DGChartst 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

This app provides the ability to perform Type I Error hypothesis testing. The null hypothesis and sample size can be specified. Depending on the selected mode, the alpha error or the acceptance or rejection range can be calculated. The different modes offer the possibility of performing right-sided, left-sided or bilateral tests. For this purpose, k1 and/or k2 can be specified for mode I or II. Various modifications can be made to calculate the acceptance and rejection ranges. It is important to note whether X should be greater than/equal to or less than/equal to k. P(X)≤ α is always assumed. The solution is shown step by step. All calculations are saved in history. The final solution can be shared. [ Contents ] - 2 modes to calculate alpha error with right, left or bilateral tests - 4 modes for calculating acceptance and rejection range depending on α - Results are calculated and displayed in detail - History to save input - detailed solution - Natural numbers and decimal numbers are supported depending on the variable - no ads! [ Use ] - There are fields for entering values using a special keyboard - Click on the checkmark button at the bottom right to start the calculation - If values are missing, the corresponding field is highlighted in yellow - If the values are incorrect, the affected field is highlighted in red - a short message explains why a value is incorrect - The entries in the history can be deleted or sorted - When you select an entry in the history, it is automatically loaded for calculation - All history can be deleted at the touch of a button - Solutions can be shared