The blood platelet counts of a group of women have a bell-shaped distribution with a mean of 264.7 and a standard deviation of 64.4. (All units are 1000 cells/μL.) Using the empirical rule, find each approximate percentage below. a. What is the approximate percentage of women with platelet counts within 2 standard deviations of the mean, or between 135.9 and 393.5? b. What is the approximate percentage of women with platelet counts between 200.3 and 329.1? C... a. Approximately % of women in this group have platelet counts within 2 standard deviations of the mean, or between 135.9 and 393.5.

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**Understanding Blood Platelet Counts using the Empirical Rule**

The blood platelet counts of a group of women exhibit a bell-shaped distribution with a mean of 264.7 and a standard deviation of 64.4. (Note: All units are 1000 cells/μL).

Using the empirical rule, we can calculate the approximate percentages for the following:

**a.** What is the approximate percentage of women with platelet counts within 2 standard deviations of the mean, or between 135.9 and 393.5?

**b.** What is the approximate percentage of women with platelet counts between 200.3 and 329.1?

---

**Solving the Questions:**

a. **Approximately** \_\_\_\_\_\_ % of women in this group have platelet counts within 2 standard deviations of the mean, or between 135.9 and 393.5.  
(Type an integer or a decimal. Do not round.)

---

**Explanation:**

*The empirical rule* indicates that for a normally distributed dataset:
- Approximately 68% of the data falls within 1 standard deviation of the mean.
- Approximately 95% of the data falls within 2 standard deviations of the mean.
- Approximately 99.7% of the data falls within 3 standard deviations of the mean.

Using this rule, we can determine that approximately 95% of the women will have platelet counts within 2 standard deviations of the mean, which translates to the interval [135.9, 393.5].

**Note:** 

The given values are calculated as follows:
- Lower bound: \( 264.7 - 2 \times 64.4 = 135.9 \)
- Upper bound: \( 264.7 + 2 \times 64.4 = 393.5 \)

Readers can utilize this rule to compute similar percentages using the provided mean and standard deviation for normally distributed data.
Transcribed Image Text:**Understanding Blood Platelet Counts using the Empirical Rule** The blood platelet counts of a group of women exhibit a bell-shaped distribution with a mean of 264.7 and a standard deviation of 64.4. (Note: All units are 1000 cells/μL). Using the empirical rule, we can calculate the approximate percentages for the following: **a.** What is the approximate percentage of women with platelet counts within 2 standard deviations of the mean, or between 135.9 and 393.5? **b.** What is the approximate percentage of women with platelet counts between 200.3 and 329.1? --- **Solving the Questions:** a. **Approximately** \_\_\_\_\_\_ % of women in this group have platelet counts within 2 standard deviations of the mean, or between 135.9 and 393.5. (Type an integer or a decimal. Do not round.) --- **Explanation:** *The empirical rule* indicates that for a normally distributed dataset: - Approximately 68% of the data falls within 1 standard deviation of the mean. - Approximately 95% of the data falls within 2 standard deviations of the mean. - Approximately 99.7% of the data falls within 3 standard deviations of the mean. Using this rule, we can determine that approximately 95% of the women will have platelet counts within 2 standard deviations of the mean, which translates to the interval [135.9, 393.5]. **Note:** The given values are calculated as follows: - Lower bound: \( 264.7 - 2 \times 64.4 = 135.9 \) - Upper bound: \( 264.7 + 2 \times 64.4 = 393.5 \) Readers can utilize this rule to compute similar percentages using the provided mean and standard deviation for normally distributed data.
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