What is the difference between independent and conditional probability? which one requires the use of the addition rule? explain.

Independent probability means that the test subjects do not affect one another. One's event occurring does not affect the other.

Conditional probability means that an event happening only happened because another even had already occurred.

The addition rule i believe is a Conditional probability

hope this helps

both graphs increase on their domain

neither graph has a y-intercept

step-by-step explanation:

the following points can be visualized easily from the graph

there is a hike in both the graphs so the graphs are increasing on their domain.x-intercept of log x and log 6x are differentthere is a vertical asymptote of both the graphs so there is no y-interceptas both the graphs are increasing so there is no horizontal asymptote