Grades on a test that follow a normal (bell curve) distribution typically indicate that the assessment was fair and appropriately challenging because it suggests a balanced range of student performance. In a normal distribution, most students score near the average, with fewer scoring extremely high or low, which implies that the test effectively differentiated between varying levels of understanding. If too many students score very high, the test may be too easy; if too many score very low, it may be too difficult. A bell curve reflects that the test allowed high-performing students to excel, lower-performing students to be identified, and the majority to fall in the middle, which is generally a sign of well-calibrated assessment design. McClave, J. T., Benson, P. G., & Sincich, T. (2018). Statistics for business and economics (13th ed.). Pearson. give feedback