C1 Body Temp (F) 1 97.9 2 97.3 3 98.4 4 97.4 5 98.5 6 97.6 7 99.1 8 99.2 9 98.5 10 98.2 11 97.9 12 98.3 13 98.7 14 98.7 15 98.6 16 97.1 17 98.1 18 98.8 C2 C3


C1 Body Temp (F) 1 97.9 2 97.3 3 98.4 4 97.4 5 98.5 6 97.6 7 99.1 8 99.2 9 98.5 10 98.2 11 97.9 12 98.3 13 98.7 14 98.7 15 98.6 16 97.1 17 98.1 18 98.8 C2 C3

The Correct Answer and Explanation is:

Correct Answer:
The data listed appears to represent a set of body temperature measurements taken over 18 consecutive observations, possibly over 18 days or from 18 individuals. The values range from 97.1°F to 99.2°F. This dataset is relatively consistent with normal human body temperature values.


Explanation
Human body temperature is a vital indicator of health and typically ranges from about 97.0°F to 99.0°F under normal conditions. The dataset presented contains 18 values ranging from 97.1°F to 99.2°F, showing slight daily or subject-to-subject variation. This kind of variation is common due to several factors such as time of day, metabolic rate, physical activity, and environmental conditions.

Analyzing the data statistically provides insight into its central tendency and dispersion. The mean (average) body temperature can be estimated by summing all the individual temperatures and dividing by 18. The median, which is the middle value when the data is sorted, gives an idea of the typical temperature unaffected by any extremes. The mode indicates the most frequently occurring temperature, and range shows the difference between the highest and lowest values.

From the dataset:

  • Minimum temperature = 97.1°F
  • Maximum temperature = 99.2°F
  • Range = 99.2°F − 97.1°F = 2.1°F

The data includes a few repeated values such as 98.5°F and 98.7°F, suggesting some central clustering around these points. The temperatures of 99.1°F and 99.2°F appear slightly higher but still fall within an acceptable normal range. No values fall into the fever range (≥100.4°F), suggesting the data represents healthy body temperatures.

If this information comes from a clinical or experimental setting, it can be used to track patterns, detect deviations, or assess normal physiological functioning. Statistical control tools, such as control charts (C1, C2, C3 possibly referring to these), help in monitoring such vital signs for quality or health assessments.

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