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

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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
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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