This tool will estimate the number of miles you’ll earn for your flight based on your travel details.

### MQM Estimator Explanation

This calculator helps estimate the Medallion Qualification Miles (MQMs) earned from your flights. Please fill in the fields accordingly:

**Total Miles Flown:**Enter the total number of miles flown on a single trip.**Class of Service:**Select the class in which you traveled. Different classes have different multipliers.**Elite Bonuses:**Choose your elite status level to include any additional mileage bonuses.**Business Trip:**Check this box if your trip is for business purposes, which adds an additional 10% bonus.

The result will be the total number of MQMs you can expect to earn based on the provided parameters. Please note the following limitations:

- This is an estimation tool and actual MQMs awarded may vary.
- Ensure all inputs are correct; incorrect entries will lead to inaccurate results.
- Bonus percentages and multipliers are subject to change based on airline policies.

## Use Cases for This Calculator

### Estimating the Sample Mean

To estimate the population mean using the MQM estimator, you input the sample size, sample mean, and known population mean. The calculator then provides you with a more accurate estimate considering factors such as sample size and sampling error.

### Estimating Proportions

If you want to estimate the proportion of a population having certain characteristics, the MQM estimator can help. Input the sample proportion, sample size, and known population proportion to get a refined estimate, accounting for sampling variability.

### Estimating Total Population

Estimating the total population based on sample data is crucial. With the MQM estimator, input the sample total, sample size, and known population total to get a more reliable estimate, factoring in the sample size and variance.

### Estimating Population Variance

Calculating the population variance accurately is vital in statistical analysis. By providing the sample variance, sample size, and known population variance, the MQM estimator can assist in generating a more precise population variance estimate.

### Estimating Population Median

When you need to estimate the population median from a sample, inputting the sample median, sample size, and other relevant data into the MQM estimator can offer a robust estimate, accounting for sample size and distribution.

### Estimating Deviation from Population Mean

If you seek to estimate the deviation of a sample from the population mean, the MQM estimator can provide a refined estimate. Input the sample deviation, sample size, and population mean to get a more accurate result.

### Estimating Confidence Intervals

Calculating confidence intervals with precision is crucial in statistical analysis. With the MQM estimator, input the required parameters, such as sample size, mean, and confidence level, to obtain more reliable confidence intervals.

### Estimating Regression Coefficients

Estimating regression coefficients accurately is essential in predictive modeling. By inputting the sample regression coefficients, sample size, and known population values, the MQM estimator can refine the estimate for better predictive accuracy.

### Estimating Correlation Coefficients

For estimating correlation coefficients between variables, the MQM estimator can provide a more accurate result. Input the sample correlation, sample size, and other necessary data to obtain a refined estimate for better analysis.

### Estimating Margins of Error

When dealing with margins of error in surveys or research studies, using the MQM estimator can enhance the accuracy of estimates. Input the sample data and relevant parameters to calculate margins of error more precisely with the MQM method.