Final Answer:
The actual probability distribution provided for the number of bicycles sold (B) and the time spent on daily sales reports (T). Without the specific probabilities, it's not possible to give a precise numerical answer.
Step-by-step explanation:
In the absence of the specific probability distribution, we cannot determine a numerical answer. However, we can discuss the general relationship between the number of bicycles sold (B) and the time spent on daily sales reports (T) based on the given information. If we had the probabilities, we could calculate the expected value (mean) and variance for both B and T. The expected value of B, denoted as E(B), would provide an average number of bicycles Kelsie sells per day. Similarly, E(T) would represent the average time spent on daily sales reports.
The covariance between B and T (Cov(B, T)) would help us understand the extent to which the number of bicycles sold influences the time spent on reports and vice versa. The correlation coefficient (ρ) would indicate the strength and direction of this relationship. A positive ρ suggests a positive correlation, meaning as the number of bicycles sold increases, the time spent on reports also tends to increase, and vice versa for a negative correlation.
In summary, the specific numerical answer depends on the probability distribution, and without that information, we can only discuss the general concepts of expected value, variance, covariance, and correlation. If you provide the probability distribution, we can perform the necessary calculations to give a more precise answer.