This problem maps an overlap region on two bell shaped glucose distributions to a screening test category. Picture the diseased (diabetic) curve sitting at higher glucose values and the healthy curve at lower values, with a vertical decision line at $120$ mg/dL. People to the right of this line are screened positive and those to the left are screened negative. The four outcome boxes follow from combining true disease status with the screening label. The region described in the stem belongs to the diabetic distribution yet spills over to the left of the cut-off, into the normal glycaemic zone. That means these individuals genuinely have diabetes but their reading fell below the threshold, so the test calls them negative. A diseased person labelled negative is by definition a false negative, the group that a screening programme dangerously misses. The companion errors would be normals pushed to the right (false positives), while correct calls give true positives and true negatives. Hence the shaded overlap is the false negative fraction. \[\boxed{\text{False negative}}\]