Step 1 :The problem is asking for the probability of a continuous random variable at a specific point, the probability of a continuous random variable being greater than a certain value, and the probability of a continuous random variable being less than a certain value.
Step 2 :For a continuous random variable, the probability at a specific point is always 0. This is because the probability is defined as the area under the curve of the probability density function, and a single point has no area. Therefore, \(P(X=2)=\boxed{0}\).
Step 3 :For the probability of a continuous random variable being greater than a certain value, we need to integrate the probability density function from that value to infinity. However, in this case, the probability density function is 0 for all values greater than 4, so the probability of the random variable being greater than 6 is 0. Therefore, \(P(X>6)=\boxed{0}\).
Step 4 :For the probability of a continuous random variable being less than a certain value, we need to integrate the probability density function from negative infinity to that value. In this case, the probability density function is 0 for all values less than 0, so we only need to integrate from 0 to 6. However, since the probability density function is 0 for all values greater than 4, we only need to integrate from 0 to 4. Therefore, \(P(X<6)=\boxed{1}\).