The mean systolic blook pressure is 121 with a standard deviation of 16. Define the random variable X to be a person's systolic blood pressure. For X, assume a random sample of 50 people has been taken. Find P(X < 123) Find P(X < 123)

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**Problem Statement on Systolic Blood Pressure**

The mean systolic blood pressure is 121 with a standard deviation of 16. Define the random variable \(X\) to be a person's systolic blood pressure. For \(\overline{X}\), assume a random sample of 50 people has been taken.

**Questions:**

1. Find \(P(X < 123)\).
   - [Answer Box]

2. Find \(P(\overline{X} < 123)\).
   - [Answer Box]

**Explanation:**

1. **Understanding \(P(X < 123)\):**
   - To find \(P(X < 123)\), we will need to calculate the probability that a single person's systolic blood pressure is less than 123.
   - This involves converting the given pressure into a z-score and then using the standard normal distribution to find the corresponding probability.

2. **Understanding \(P(\overline{X} < 123)\):**
   - \(P(\overline{X} < 123)\) represents the probability that the mean systolic blood pressure of a sample of 50 people is less than 123.
   - For this, we will use the Central Limit Theorem which states that the distribution of the sample mean will be approximately normally distributed if the sample size is sufficiently large (which in this case, n = 50, is considered large).
   - We will convert the sample mean into a z-score and then use the standard normal distribution to find the probability.

These steps will ensure accurate computation of the required probabilities.
Transcribed Image Text:**Problem Statement on Systolic Blood Pressure** The mean systolic blood pressure is 121 with a standard deviation of 16. Define the random variable \(X\) to be a person's systolic blood pressure. For \(\overline{X}\), assume a random sample of 50 people has been taken. **Questions:** 1. Find \(P(X < 123)\). - [Answer Box] 2. Find \(P(\overline{X} < 123)\). - [Answer Box] **Explanation:** 1. **Understanding \(P(X < 123)\):** - To find \(P(X < 123)\), we will need to calculate the probability that a single person's systolic blood pressure is less than 123. - This involves converting the given pressure into a z-score and then using the standard normal distribution to find the corresponding probability. 2. **Understanding \(P(\overline{X} < 123)\):** - \(P(\overline{X} < 123)\) represents the probability that the mean systolic blood pressure of a sample of 50 people is less than 123. - For this, we will use the Central Limit Theorem which states that the distribution of the sample mean will be approximately normally distributed if the sample size is sufficiently large (which in this case, n = 50, is considered large). - We will convert the sample mean into a z-score and then use the standard normal distribution to find the probability. These steps will ensure accurate computation of the required probabilities.
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