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Project description
error_param_cal
Calculate any of the 6 parameters of the power of a test iteratively. The function will ask the user to specify the parameter to calulate and the user can terminate the current session with a simple y/n(i.e yes/no).
This error calculator function calculates the different parameter with the given data. The parameters include:
- Sample Size(n)
- Type I Error(alpha)
- Type II Error(beta)
- Population Mean
- Sample Mean
- Population Standard Deviation
How does it work?
- Select the error parameter number from above list.
- Enter the asked required data.
- Get the calculated output of the required parameter.
- Repeat steps 1,2,3 for different parameters to be calculated continuing the code.
- When you wish to quit type "n".
Installation
Run the following to install:
pip install error_param
Usage
import error_parameters_calculator
# function usage
error_parameters_calculator.error_param()
# For individual parameter calculation if you do not like to iterate and apply it simply. Use any of the below:
import error_parameters_calculator
error_parameters_calculator.calculate_alpha()
error_parameters_calculator.calculate_beta()
error_parameters_calculator.calculate_population_mean()
error_parameters_calculator.calculate_sample_mean()
error_parameters_calculator.calculate_sample_size()
error_parameters_calculator.calculate_sigma()
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