It appears you've uploaded an image of a math problem. Let me transcribe and work on it for you:

Problem Statement:

Find the probabilities for each of the following given and convert into percentage form.

GIVEN:

1. $P(Z < 1.04)$
2. $P(Z \leq -0.5)$
3. $P(Z > -1.65)$
4. $P(-0.87 < Z \leq 1.31 >)$
5. $P(-0.52 < Z < 1.33)$

I will now solve these problems using the Z-table and then convert them to percentages.

Let me calculate them for you.Here are the probabilities converted into percentage form:

1. $P(Z < 1.04)$ = 85.08%
2. $P(Z \leq -0.5)$ = 30.85%
3. $P(Z > -1.65)$ = 95.05%
4. $P(-0.87 < Z \leq 1.31)$ = 71.28%
5. $P(-0.52 < Z < 1.33)$ = 60.67%

Would you like more details on how these were calculated or do you have any other questions?

Here are 5 relative questions to expand on this topic:

1. How are Z-scores calculated from raw data in a normal distribution?
2. What is the importance of the standard normal distribution in statistics?
3. How would you calculate the probability for a Z-value not found in a Z-table?
4. What is the difference between $P(Z \leq z)$ and $P(Z < z)$?
5. Can you explain why the total area under the standard normal curve equals 1?

Tip: When working with Z-scores, remember that they represent the number of standard deviations away from the mean, making them useful for comparing different data sets.