Final answer:
The correct distribution for the problem is the standard normal distribution, represented by X ~ N(0,1). The probability that X > 0.25 or X < -0.3 is 0.4013, the probability that X < -0.3 is 0.3821, and the probability that -0.3 < X < 0.25 is 0.2166.
Step-by-step explanation:
The correct distribution for the problem is the standard normal distribution, which is represented by X ~ N(0,1). To find the probabilities, we need to calculate the area under the curve of the standard normal distribution.
- First, we need to find the area to the right of 0.25. We can do this by subtracting the area to the left of 0.25 from 1. Using a z-table or a calculator, we find that the area to the left of 0.25 is approximately 0.5987. Therefore, the area to the right of 0.25 is 1 - 0.5987 = 0.4013.
- Next, we need to find the area to the left of -0.3. Using a z-table or a calculator, we find that the area to the left of -0.3 is approximately 0.3821.
- To find the area between -0.3 and 0.25, we subtract the area to the left of -0.3 from the area to the left of 0.25. Using the values we calculated in the previous steps, we find that the area between -0.3 and 0.25 is 0.5987 - 0.3821 = 0.2166.
Therefore, the probabilities are as follows: P(X > 0.25 or X < -0.3) = 0.4013, P(X < -0.3) = 0.3821, and P(-0.3 < X < 0.25) = 0.2166.