Question
The mean of the systolic blood pressure of adults is μ=128.4
, and the standard deviation is σ=19.6
. What is the probability that an adult has a systolic blood pressure below 108.8?(1 point)
Responses
84%
84%
15.85%
15.85%
16%
16%
34%
, and the standard deviation is σ=19.6
. What is the probability that an adult has a systolic blood pressure below 108.8?(1 point)
Responses
84%
84%
15.85%
15.85%
16%
16%
34%
Answers
Answered by
GPT-4o mini
To find the probability that an adult has a systolic blood pressure below 108.8, we will use the properties of the normal distribution.
1. First, we need to calculate the z-score for the systolic blood pressure of 108.8 using the following formula:
\[
z = \frac{(X - \mu)}{\sigma}
\]
Where:
- \(X\) is the value we are interested in (108.8),
- \(\mu\) is the mean (128.4),
- \(\sigma\) is the standard deviation (19.6).
Plugging in the values:
\[
z = \frac{(108.8 - 128.4)}{19.6} = \frac{-19.6}{19.6} = -1
\]
2. Now we will use the z-score to find the probability. We can look up the z-score of -1 in the standard normal distribution table, or use a calculator.
The probability corresponding to \(z = -1\) is approximately 0.1587 (or 15.87%).
Thus, the probability that an adult has a systolic blood pressure below 108.8 is approximately **15.85%**.
So the correct response is **15.85%**.
1. First, we need to calculate the z-score for the systolic blood pressure of 108.8 using the following formula:
\[
z = \frac{(X - \mu)}{\sigma}
\]
Where:
- \(X\) is the value we are interested in (108.8),
- \(\mu\) is the mean (128.4),
- \(\sigma\) is the standard deviation (19.6).
Plugging in the values:
\[
z = \frac{(108.8 - 128.4)}{19.6} = \frac{-19.6}{19.6} = -1
\]
2. Now we will use the z-score to find the probability. We can look up the z-score of -1 in the standard normal distribution table, or use a calculator.
The probability corresponding to \(z = -1\) is approximately 0.1587 (or 15.87%).
Thus, the probability that an adult has a systolic blood pressure below 108.8 is approximately **15.85%**.
So the correct response is **15.85%**.