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@teonbrooks
teonbrooks committed Aug 9, 2024
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Expand Up @@ -27,7 +27,7 @@ Additionally, `Statmanager-kr` relies on `Scipy` and `Statsmodels` for valid ana

# Statement of need

`Statmanager-kr` is a statistical package for Python in `Pandas`. This package provides methods commonly used for null hypothesis significance testing (NHST), which is of interest to researchers in various fields [@Moon2020]. It is also possible to test for normality or equivariance using the Shapiro-Wilk, Levene, or Fmax tests.
`Statmanager-kr` is a statistical package for Python in `Pandas`. This package provides methods commonly used for null hypothesis significance testing (NHST), which is of interest to researchers in various fields [@Moon2020]. It is also possible to test for normality or equivariance using the Shapiro-Wilk, Levene, or F<sub>max</sub> tests.

Most of the statistical software available today is difficult to use, as a previous study reported that one of the challenges students face in statistics courses was "using software" [@Murtonen:2003]. Although there are basic statistical libraries in Python, such as Scipy [@seabold:2010] and Statsmodels [@Virtanen:2020], they are quite complex. While some studies require complex and detailed statistical modeling and analysis, there are also many studies that require only a few hypothesis tests. Therefore, the development of an easy-to-use statistical package would be of great benefit to these researchers.

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| Objective | Analysis |
| ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Check the normality assumption | Kolmogorov-Smirnov Test, Shapiro-Wilks Test, Z-Skeweness & Z-Kurtosis Test |
| Check the homoskedasticity assumption | Levenve Test, Fmax Test |
| Check the normality assumption | Kolmogorov-Smirnov Test, Shapiro-Wilks Test, Z-Skewness & Z-Kurtosis Test |
| Check the homoskedasticity assumption | Levene's Test, F<sub>max</sub> Test |
| Frequency analysis | Chi-Squared Test, Fisher’s Exact Test |
| Check the reliability of the scale | Calculating Cronbach’s Alpha |
| Correlation analysis | Pearson’s r, Spearman’s rho, Kendall’s tau |
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| ------------------ | ----------------------------------- | -------------------- | --------------------------- |
| `kstest` | Kolmogorov-Smirnov Test | `vars` | `group_vars` |
| `shapiro` | Shapiro-Wilks Test | `vars` | `group_vars` |
| `z_normal` | Z-skeweness & z-kurtosis test | `vars` | `group_vars` |
| `z_normal` | Z-Skewness & Z-Kurtosis test | `vars` | `group_vars` |
| `levene` | Levene Test | `vars`, `group_vars` |
| `fmax` | Fmax Test | `vars`, `group_vars` |
| `fmax` | F<sub>max</sub> Test | `vars`, `group_vars` |
| `chi2_contingency` | Chi-squared Test | `vars` |
| `fisher` | Fisher's Exact Test | `vars` |
| `pearsonr` | Pearson's r | `vars` |
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