This tool helps you calculate the probability of bias in your data sets.

## How to Use the Bias Calculator

To use the bias calculator, fill in the input fields with the required values for both Group 1 and Group 2:

**Mean of Group 1 and Group 2:**The average value of each group.**Standard Deviation of Group 1 and Group 2:**The measure of variation or dispersion of each group.**Sample Size of Group 1 and Group 2:**The number of observations in each group.

Click the “Calculate” button to get the bias result. The result is displayed in the “Result” field.

## How the Calculator Works

The bias is calculated using the formula:

`(Mean of Group 1 - Mean of Group 2) / Pooled Standard Deviation`

The pooled standard deviation is calculated as:

`sqrt[((std_dev1^2 * (size1 - 1)) + (std_dev2^2 * (size2 - 1))) / (size1 + size2 - 2)]`

## Limitations

This calculator assumes both groups have the same variance and a normal distribution of data. It may not be accurate for data that does not meet these assumptions.

## Use Cases for This Calculator

### Use Case 1: Calculate Gender Bias in the Workplace

Enter the number of male and female employees to determine the gender bias percentage at your workplace. This calculator helps you identify any disparities that might exist among genders, allowing you to take corrective actions for a more inclusive environment.

### Use Case 2: Evaluate Racial Bias in Hiring Practices

Input the number of employees from different racial backgrounds to assess the racial bias in your organization’s recruitment process. Use the calculator results to address any discriminatory practices and promote diversity in your workplace.

### Use Case 3: Measure Age Bias in Promotions

Enter the age groups of employees who have been promoted to analyze if age bias exists within your company’s advancement policies. By using this calculator, you can ensure that promotions are based on merit rather than age, fostering a fair work environment.

### Use Case 4: Calculate Bias in Performance Reviews

Input the ratings given to employees from different departments to identify any bias present in the performance evaluation process. This calculator helps you eliminate subjective judgments and create a more objective feedback system for all employees.

### Use Case 5: Assess Bias in Salary Distribution

Enter the salaries of employees based on their roles to detect any gender or racial pay gaps that may indicate bias in your company’s compensation structure. Use the calculator results to address disparities and ensure equal pay for equal work.

### Use Case 6: Determine Bias in Project Assignments

Input the types of projects assigned to employees to analyze if there is bias in the distribution of challenging tasks or opportunities for growth. This calculator enables you to allocate projects fairly, supporting career development for all team members.

### Use Case 7: Measure Bias in Training Opportunities

Enter the number of training sessions attended by employees to evaluate if there are disparities in providing learning opportunities. Use the calculator results to ensure that all employees have equal access to professional development resources.

### Use Case 8: Calculate Bias in Employee Recognition

Input the frequency of recognition given to employees to identify any bias in acknowledging achievements within the organization. This calculator helps you implement a more inclusive recognition system that appreciates the diverse contributions of all team members.

### Use Case 9: Assess Bias in Mentorship Programs

Enter the number of mentorship pairings between senior and junior employees to analyze if there is bias in guiding career growth. Use the calculator results to promote equitable mentorship opportunities and support the professional development of all staff members.

### Use Case 10: Evaluate Bias in Performance Bonuses

Input the distribution of performance bonuses among employees to determine if there are biases in rewarding achievements. By using this calculator, you can ensure that bonuses are allocated fairly based on merit, motivating all employees to excel.