From the image you've uploaded, it appears to be a problem involving calculating probabilities in a stockout situation using the Reorder Point (ROP) model, and a standard normal distribution (z-table) is provided for reference.

For part b-2:

The question asks you to find the probability of experiencing a stockout before the next order arrives. You are required to use a z-score from the standard normal distribution to find this probability, and then round the final answer to the nearest whole percent.

For part c:

This part involves determining the probability of running out of a product (walnut fudge ice cream) before a delayed shipment arrives. After selling 2 gallons and knowing the supplier's promise to deliver in two days, you need to calculate the risk of stockout based on the delay and consumption rates. Again, the probability needs to be rounded to the nearest whole percent.

To help further:

1. We need details on the mean and standard deviation of demand during the lead time, which are typically involved in the ROP model.
2. The z-score formula is often used:
   $z = \frac{X - \mu}{\sigma}$ Where $X$ is the demand over the lead time, $\mu$ is the average demand, and $\sigma$ is the standard deviation.

Could you provide these values or clarify the setup? Then we can proceed with the calculation.

Do you have any further questions or would like detailed steps on using the z-score for the probabilities?

Follow-up Questions:

1. What is the mean and standard deviation of demand during the lead time for this problem?
2. How many units of the product are typically stocked before an order is placed?
3. What is the lead time for the product in question?
4. Can you provide the current inventory level before calculating the risk probability?
5. How are stockout probabilities typically handled in this ROP model?

Tip:

To find a probability using a z-table, ensure that the z-score has been correctly calculated and matches the table values accurately for the needed precision.