You can still do a fit to a bell curve and find a chi-squared value. If your chi-squared is horrible, obviously you should be considering a different probability density function as your model is incorrect, but if it's decent enough you can omit the features and call it a "bell curve"
That being said, I could see this as a composition of two gaussian bell curves with the means correlating to the ages of people in college and their early/mid career (let's say 23 and 28 respectively)
You can still do a fit to a bell curve and find a chi-squared value. If your chi-squared is horrible, obviously you should be considering a different probability density function as your model is incorrect, but if it's decent enough you can omit the features and call it a "bell curve"
That being said, I could see this as a composition of two gaussian bell curves with the means correlating to the ages of people in college and their early/mid career (let's say 23 and 28 respectively)