The red blood cell counts (in millions of cells per microliter) per microliter and a standard deviation of 0.5 million cells per microliter. Iblood ooll count that can be in the top 30% o
The red blood cell counts (in millions of cells per microliter) per microliter and a standard deviation of 0.5 million cells per microliter. Iblood ooll count that can be in the top 30% o
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![## Red Blood Cell Count Analysis
### Normal Distribution of Red Blood Cell Counts
The red blood cell counts (in millions of cells per microliter) for a population of adult males can be approximated by a normal distribution, with a mean of 5.3 million cells per microliter and a standard deviation of 0.5 million cells per microliter.
Given these parameters, we can determine specific percentiles of red blood cell counts.
### Questions and Solutions
#### (a) Minimum Red Blood Cell Count for Top 30%
**Question:** What is the minimum red blood cell count that can be in the top 30% of counts?
**Answer:** The minimum red blood cell count is _____ million cells per microliter.
*Note: The actual value should be calculated and rounded to two decimal places as needed.*
#### (b) Maximum Red Blood Cell Count for Bottom 13%
**Question:** What is the maximum red blood cell count that can be in the bottom 13% of counts?
**Answer:** The maximum red blood cell count is _____ million cells per microliter.
*Note: The actual value should be calculated and rounded to two decimal places as needed.*
### Explanation and Calculations
1. **Understanding the Normal Distribution:**
- Mean (\(\mu\)) = 5.3 million cells per microliter
- Standard Deviation (\(\sigma\)) = 0.5 million cells per microliter
2. **Using Z-scores:**
- To find the required red blood cell counts for the given percentiles, we use the Z-score formula:
\[
Z = \frac{(X - \mu)}{\sigma}
\]
where \(X\) is the red blood cell count.
3. **Converting Percentiles to Z-scores:**
- For the top 30%: Use statistical tables or a Z-score calculator to find the Z-score corresponding to the 70th percentile.
- For the bottom 13%: Use statistical tables or a Z-score calculator to find the Z-score corresponding to the 13th percentile.
4. **Calculating the Counts:**
- Convert the Z-scores back to red blood cell counts using the formula:
\[
X = \mu + (Z \times \sigma)
\]
### Completion of the Values
By performing these calculations, you can obtain the specific](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8d7dd878-68eb-4c6b-9d67-0903dd8963d8%2F39b23235-4f08-4b66-8362-e20dda9b2e59%2Fjhmmd5_processed.jpeg&w=3840&q=75)
Transcribed Image Text:## Red Blood Cell Count Analysis
### Normal Distribution of Red Blood Cell Counts
The red blood cell counts (in millions of cells per microliter) for a population of adult males can be approximated by a normal distribution, with a mean of 5.3 million cells per microliter and a standard deviation of 0.5 million cells per microliter.
Given these parameters, we can determine specific percentiles of red blood cell counts.
### Questions and Solutions
#### (a) Minimum Red Blood Cell Count for Top 30%
**Question:** What is the minimum red blood cell count that can be in the top 30% of counts?
**Answer:** The minimum red blood cell count is _____ million cells per microliter.
*Note: The actual value should be calculated and rounded to two decimal places as needed.*
#### (b) Maximum Red Blood Cell Count for Bottom 13%
**Question:** What is the maximum red blood cell count that can be in the bottom 13% of counts?
**Answer:** The maximum red blood cell count is _____ million cells per microliter.
*Note: The actual value should be calculated and rounded to two decimal places as needed.*
### Explanation and Calculations
1. **Understanding the Normal Distribution:**
- Mean (\(\mu\)) = 5.3 million cells per microliter
- Standard Deviation (\(\sigma\)) = 0.5 million cells per microliter
2. **Using Z-scores:**
- To find the required red blood cell counts for the given percentiles, we use the Z-score formula:
\[
Z = \frac{(X - \mu)}{\sigma}
\]
where \(X\) is the red blood cell count.
3. **Converting Percentiles to Z-scores:**
- For the top 30%: Use statistical tables or a Z-score calculator to find the Z-score corresponding to the 70th percentile.
- For the bottom 13%: Use statistical tables or a Z-score calculator to find the Z-score corresponding to the 13th percentile.
4. **Calculating the Counts:**
- Convert the Z-scores back to red blood cell counts using the formula:
\[
X = \mu + (Z \times \sigma)
\]
### Completion of the Values
By performing these calculations, you can obtain the specific
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