To determine the predicted percentage of black fur and white fur phenotypes, we need to go through the problem step-by-step. Given the result, here's a detailed explanation of how we can interpret the given values:
1. Understanding Phenotypes:
- We are considering two phenotypes here: Black Fur and White Fur.
- Let’s denote the predicted percentage of Black Fur as [tex]\( P_B \)[/tex] and the predicted percentage of White Fur as [tex]\( P_W \)[/tex].
2. Relationship Between Percentages:
- Since there are only two phenotypes and they must add up to 100%, we have the following relationship:
[tex]\[
P_B + P_W = 100\%
\][/tex]
3. Given Data:
- We are asked to find [tex]\( P_B \)[/tex] and [tex]\( P_W \)[/tex].
4. Solution:
- By observation and common sense, if nothing is specified to favor one phenotype, an equal distribution is usually considered a default assumption.
- Thus, we assume the predicted percentage for each phenotype based on symmetry and equal probability.
5. Predicted Percentage Calculation:
- For two phenotypes (Black Fur and White Fur), without any additional information, it is reasonable to assume an equal distribution:
[tex]\[
\text{Predicted percentage of Black Fur} = P_B = 50\%
\][/tex]
[tex]\[
\text{Predicted percentage of White Fur} = P_W = 50\%
\][/tex]
Hence, the detailed step-by-step solution leads us to predict the following percentages:
- The predicted percentage for Black Fur ([tex]\( P_B \)[/tex]) is 50%.
- The predicted percentage for White Fur ([tex]\( P_W \)[/tex]) is 50%.
This equal distribution is a reasonable assumption in the absence of any additional specific data favoring one phenotype over the other.
