Question

analyze a larger set of data for a dihybrid cross
below is data for 250 offspring mice, as produced in a laboratory.
notice that the predicted percentages and laboratory percentages are not the same. these differences most likely result from

Explanation:

In genetics, when dealing with dihybrid crosses, there is an expected phenotypic ratio based on Mendelian genetics (in this case, the predicted percentages). However, in real - world (laboratory) data, there are often small deviations. These deviations are not due to a computation error (as the laboratory fractions are simple counts over total). A strong linkage between genes would cause more significant and consistent deviations from the expected ratio in a non - random way. An unusual sample would imply a one - off, highly deviant result. But the differences here are small and can be attributed to expected randomness. In statistics, when dealing with samples (here, the 250 mice), there is always some degree of random variation around the expected values.

Answer:

expected randomness