The formula to calculate the coat color probability is:
\[ CCP = (C_1 \times P_1) + (C_2 \times P_2) + \ldots + (C_n \times P_n) \]
where \( CCP \) is the coat color probability, \( C_1, C_2, \ldots, C_n \) are the possible coat colors, and \( P_1, P_2, \ldots, P_n \) are the probabilities of each coat color.
Coat color refers to the color of an animal’s fur or hair, particularly in reference to animals such as dogs, cats, horses, and other domesticated animals. The color and pattern of an animal’s coat is determined by its genetic makeup, with different genes controlling different aspects of the coat’s appearance. For example, one gene might control whether the coat is black or brown, while another might control whether the coat is solid, spotted, or striped. Coat color can vary widely even within a single species or breed, and can be influenced by a variety of factors including age, diet, and health. In some cases, coat color can also have implications for an animal’s health or behavior, as certain coat colors are associated with specific genetic conditions or traits.
Let's assume we have the following values:
Step 1: Multiply each coat color by its corresponding probability:
\[ C_1 \times P_1 = 0.5 \times 0.4 = 0.2 \]
\[ C_2 \times P_2 = 0.3 \times 0.6 = 0.18 \]
Step 2: Sum up all the results:
\[ CCP = 0.2 + 0.18 = 0.38 \]
Therefore, the Coat Color Probability is \( CCP = 0.38 \).