a) What value of Z should be applied?
Practical Management Science
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ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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 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)*.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F35bbd5ab-d496-4896-923e-b18c6a384f2f%2Fc4bff276-e198-4cd4-89e2-d85805733843%2F8dpw3e7_processed.png&w=3840&q=75)
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)*.

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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