A body temperature of 96.5 degree F given that human body temperatures have a mean of 98.20 degree F and a standard deviation of 0.62 degree

A body temperature of 96.5 degree F given that human body temperatures have a mean of 98.20 degree F and a standard deviation of 0.62 degree.

A) -1.7: not usual

B) 2.7: unusual

C) -2.7: not unusual

D) -2.7: unusual

The correct answer and explanation is :

To determine if a body temperature of 96.5°F is unusual, we can use the concept of z-scores. A z-score represents how many standard deviations a data point is from the mean. The formula for calculating the z-score is:

[
z = \frac{X – \mu}{\sigma}
]

Where:

  • ( X ) is the data point (in this case, 96.5°F),
  • ( \mu ) is the mean (in this case, 98.2°F),
  • ( \sigma ) is the standard deviation (in this case, 0.62°F).

Step 1: Calculate the z-score

Substitute the given values into the formula:

[
z = \frac{96.5 – 98.2}{0.62} = \frac{-1.7}{0.62} \approx -2.74
]

Step 2: Interpret the z-score

A z-score of approximately -2.7 means that the body temperature of 96.5°F is 2.7 standard deviations below the mean.

Step 3: Assess whether it is usual or unusual

In statistics, data points that are more than 2 standard deviations away from the mean (either above or below) are generally considered unusual. Specifically:

  • A z-score between -2 and +2 is considered “usual” or “within normal range.”
  • A z-score outside this range (i.e., below -2 or above +2) is considered “unusual” or “extreme.”

Since the z-score here is -2.7, which is beyond the -2 threshold, this body temperature of 96.5°F is considered unusual.

Step 4: Conclusion

The correct answer is D) -2.7: unusual.

Explanation:

A body temperature of 96.5°F is significantly lower than the average body temperature of 98.2°F. This result indicates that the temperature falls outside the usual range of normal human body temperatures, suggesting a potential health concern, such as hypothermia or another condition that could lower body temperature. When temperatures fall more than 2 standard deviations away from the mean, they are typically regarded as unusual, and further investigation might be warranted.

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