a) What value of Z should be applied?

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**Inventory Management Problem: Calculating Safety Stock and Reorder Point**

Based on available information, the lead time demand for PC jump drives averages 51 units (normally distributed), with a standard deviation of 4 drives. Management wants a 90% service level. Refer to the [standard normal table](#) for z-values.

a) **What value of Z should be applied?**  
(Select the appropriate z-value from the dropdown box)

b) **How many drives should be carried as safety stock?**  
______ units *(round your response to the nearest whole number)*.

c) **What is the appropriate reorder point?**  
______ units *(round your response to the nearest whole number)*.
Transcribed Image Text:**Inventory Management Problem: Calculating Safety Stock and Reorder Point** Based on available information, the lead time demand for PC jump drives averages 51 units (normally distributed), with a standard deviation of 4 drives. Management wants a 90% service level. Refer to the [standard normal table](#) for z-values. a) **What value of Z should be applied?** (Select the appropriate z-value from the dropdown box) b) **How many drives should be carried as safety stock?** ______ units *(round your response to the nearest whole number)*. c) **What is the appropriate reorder point?** ______ units *(round your response to the nearest whole number)*.
### Understanding the Z-Table and Normal Distribution

**Graph Explanation:**

The graph at the top of the image illustrates a standard normal distribution, which is a bell-shaped curve symmetric about the mean. The horizontal axis represents the z-scores, and the shaded area under the curve indicates the probability, denoted as \( P(Z < z) \). This probability represents the area to the left of a specific z-score \( z \).

**Z-Table Overview:**

The table below the graph is known as a Z-Table, which provides the cumulative probability for a standard normal distribution up to a given z-score. This table is commonly used in statistics to find probabilities associated with a standard normal distribution.

**How to Read the Z-Table:**

1. **Rows and Columns:**
   - The first column (labeled "z") indicates the base z-score value.
   - The top row indicates the second decimal place of the z-score.

2. **Intersection Point:**
   - To find the probability of a specific z-score, identify the row corresponding to the first decimal value and the column for the second decimal place.
   - For instance, to find \( P(Z < 0.47) \), look at the row for 0.4 and the column for 0.07, which gives you approximately 0.6808.

3. **Example Usage:**
   - If you want to find the probability \( P(Z < 1.23) \):
     - Look at the row for 1.2.
     - Move across to the column for 0.03.
     - The value at this intersection is 0.8907.

**Understanding Probabilities:**

- The table values represent cumulative probabilities from the mean to a specific z-score.
- These probabilities are useful in hypothesis testing, confidence intervals, and more in statistical analysis.

This Z-Table allows users to quickly find probabilities associated with standard normal distribution in educational and practical statistical applications.
Transcribed Image Text:### Understanding the Z-Table and Normal Distribution **Graph Explanation:** The graph at the top of the image illustrates a standard normal distribution, which is a bell-shaped curve symmetric about the mean. The horizontal axis represents the z-scores, and the shaded area under the curve indicates the probability, denoted as \( P(Z < z) \). This probability represents the area to the left of a specific z-score \( z \). **Z-Table Overview:** The table below the graph is known as a Z-Table, which provides the cumulative probability for a standard normal distribution up to a given z-score. This table is commonly used in statistics to find probabilities associated with a standard normal distribution. **How to Read the Z-Table:** 1. **Rows and Columns:** - The first column (labeled "z") indicates the base z-score value. - The top row indicates the second decimal place of the z-score. 2. **Intersection Point:** - To find the probability of a specific z-score, identify the row corresponding to the first decimal value and the column for the second decimal place. - For instance, to find \( P(Z < 0.47) \), look at the row for 0.4 and the column for 0.07, which gives you approximately 0.6808. 3. **Example Usage:** - If you want to find the probability \( P(Z < 1.23) \): - Look at the row for 1.2. - Move across to the column for 0.03. - The value at this intersection is 0.8907. **Understanding Probabilities:** - The table values represent cumulative probabilities from the mean to a specific z-score. - These probabilities are useful in hypothesis testing, confidence intervals, and more in statistical analysis. This Z-Table allows users to quickly find probabilities associated with standard normal distribution in educational and practical statistical applications.
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