**Script 1** Power calculation script for primary studies
```python
import math
import statsmodels
from statsmodels.stats.power import TTestIndPower
analysis = TTestIndPower()
effect_size = float(input('Input the effect size: '))
alpha = float(input('Input the alpha value: '))
power = float(input('Input the power: '))
ratio = float(input('Input the sample size ratio: '))
sample_size = analysis.solve_power(
effect_size = effect_size,
alpha = alpha,
power = power,
ratio = ratio)
print(f'Minimum sample size needed for experiment: {math.ceil(sample_size)}')
```
**Script 2** Power calculation script for meta-analysis studies (TODO)