Math Problem Statement

The systolic blood pressures of sample of 40 women have a mean of 110.8 mm Hg and a standard deviation of 17.1 mm Hg. The highest systolic blood pressure measurement in this sample is 181 mm Hg. In this context, is a systolic blood pressure of 181 mm Hg “unusual”? Answer 1 Question 9

Solution

To determine if a systolic blood pressure of 181 mm Hg is "unusual," we can use the concept of z-scores. A z-score tells us how many standard deviations a particular value is from the mean. Generally, a z-score beyond ±2\pm 2 is considered unusual, and a z-score beyond ±3\pm 3 is considered very unusual.

Z-Score Calculation

The z-score is calculated using the following formula:

z=Xμσz = \frac{X - \mu}{\sigma}

Where:

  • XX is the value in question (181 mm Hg in this case).
  • μ\mu is the mean (110.8 mm Hg).
  • σ\sigma is the standard deviation (17.1 mm Hg).

Substituting the values:

z=181110.817.170.217.14.1z = \frac{181 - 110.8}{17.1} \approx \frac{70.2}{17.1} \approx 4.1

Interpretation

A z-score of 4.1 means that 181 mm Hg is 4.1 standard deviations above the mean. Since this is well beyond the usual cutoff of 2 or even 3 standard deviations, we can conclude that a systolic blood pressure of 181 mm Hg is indeed very unusual in this context.

Answer 1 Question 9: Yes, a systolic blood pressure of 181 mm Hg is "unusual."

Would you like any more details or have any further questions?

Here are five related questions to consider:

  1. What might be the clinical implications of such an unusual systolic blood pressure?
  2. How would the interpretation change if the standard deviation were larger?
  3. What proportion of the sample would typically fall within 2 standard deviations of the mean?
  4. How does the z-score help in comparing different data points across different distributions?
  5. What other statistical methods can be used to identify outliers in a dataset?

Tip: In real-world applications, identifying unusual data points using z-scores is a common technique for detecting outliers that might require further investigation.

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Math Problem Analysis

Mathematical Concepts

Descriptive Statistics
Z-Score

Formulas

Z-Score formula: z = (X - \mu) / \sigma

Theorems

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Suitable Grade Level

Advanced High School