Assume that females have pulse rates that are normally distributed with a mean of u= 75.0 beats per minute and a standard deviation of o= 12.5 beats per minute. Complete parts (a) through (c) below. a. If 1 adult female is randomly selected, find the probability that her pulse rate is less than 81 beats per minute. The probability is 0.48 (Round to four decimal places as needed.) b. If 25 adult females are randomly selected, find the probability that they have pulse rates with a mean less than 81 beats per minute. The probability is O (Round to four decimal places as needed.) c. Why can the normal distribution be used in part (b), even though the sample size does not exceed 30? O A. Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size. O B. Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size. O C. Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size. O D. Since the mean pulse rate exceeds 30, the distribution sample means is a normal distribution for any sample size.

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**Educational Content: Understanding Pulse Rate Distribution**

**Introduction**

In this example, we explore the distribution of pulse rates among adult females, which are assumed to follow a normal distribution with a mean (μ) of 75.0 beats per minute and a standard deviation (σ) of 12.5 beats per minute.

**Problem Statement**

Complete the tasks below:

**Part (a): Single Adult Female Pulse Rate**

- If one adult female is randomly selected, find the probability that her pulse rate is less than 81 beats per minute.
- **Solution:** The probability is 0.48. (Round to four decimal places as needed.)

**Part (b): Mean Pulse Rate of 25 Adult Females**

- If 25 adult females are randomly selected, find the probability that their pulse rates have a mean less than 81 beats per minute.
- **Solution:** The probability is [Blank]. (Round to four decimal places as needed.)

**Part (c): Use of Normal Distribution**

- Why can the normal distribution be used in part (b) even though the sample size does not exceed 30?

**Options:**

- A. Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size.
- B. Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size.
- C. Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size.
- D. Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size.

This exercise demonstrates the application of normal distribution principles to real-world scenarios, helping us understand how statistical measures can predict population behaviors.
Transcribed Image Text:**Educational Content: Understanding Pulse Rate Distribution** **Introduction** In this example, we explore the distribution of pulse rates among adult females, which are assumed to follow a normal distribution with a mean (μ) of 75.0 beats per minute and a standard deviation (σ) of 12.5 beats per minute. **Problem Statement** Complete the tasks below: **Part (a): Single Adult Female Pulse Rate** - If one adult female is randomly selected, find the probability that her pulse rate is less than 81 beats per minute. - **Solution:** The probability is 0.48. (Round to four decimal places as needed.) **Part (b): Mean Pulse Rate of 25 Adult Females** - If 25 adult females are randomly selected, find the probability that their pulse rates have a mean less than 81 beats per minute. - **Solution:** The probability is [Blank]. (Round to four decimal places as needed.) **Part (c): Use of Normal Distribution** - Why can the normal distribution be used in part (b) even though the sample size does not exceed 30? **Options:** - A. Since the distribution is of sample means, not individuals, the distribution is a normal distribution for any sample size. - B. Since the original population has a normal distribution, the distribution of sample means is a normal distribution for any sample size. - C. Since the distribution is of individuals, not sample means, the distribution is a normal distribution for any sample size. - D. Since the mean pulse rate exceeds 30, the distribution of sample means is a normal distribution for any sample size. This exercise demonstrates the application of normal distribution principles to real-world scenarios, helping us understand how statistical measures can predict population behaviors.
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