Random assignment of treatments within homogeneous blocks is an effective way to eliminate confounding due to differences between blocks when analyzing treatment differences. A complete block design includes observations within every combination of blocking factors. Balanced incomplete block designs provide a more efficient alternative in which all combinations are not represented, but every pair of blocks appears equally often.