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MATH 225N WEEK 5 DISCUSSION, THE NORMAL DISTRIBUTION

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  • January 16, 2023
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MATH 225N WEEK 5 DISCUSSION, THE NORMAL DISTRIBUTION




Many variables in medicine follow a normal distribution where there are approximately an equal

number of values below the mean as above the mean. Describe two variables that you work with

that would probably follow a normal distribution. Also note which of the two variables would be

likely to have a larger standard deviation and why.


Statistical data is indispensable to physicians, and the knowledge of statistics is essential not only

for research but also for understanding and interpreting information relevant to the practice of medical

science (Holmes, Illowsky, & Dean, 2018; Sarkar, 2014). One of the elements of statistical data is

normality, which is mainly characterized by a distribution that resembles a bell curve that is symmetrical.

Half of the data will fall to the left of the mean; half will fall to the right. Two examples of variables that

would have a normal distribution include systolic blood pressure and height. Systolic blood pressure

readings are normally distributed, especially given that the mean and standard deviation are usually

within the same range for a particular age group. For example, the systolic blood pressure of 18-year-old

women is normally distributed, for instance, the mean is approximately 120 mmHg and standard

deviation of 12 mmHg (Sarkar, 2014; Rivera et al., 2014). Height follows a normal distribution in the

sense that most of the data values tend to cluster around the mean. However, systolic blood pressure

would be likely to have a larger standard deviation because there are many factors that cause pressure to

vary, such as health condition and lifestyle. Height remains fairly constant across age groups (Rivera et

al., 2014).


References


Holmes, A., Illowsky, B. & Dean, S. (2018). Introductory business statistics. Houston, TX: OpenStax


Rivera, A. L., Estanol, B., Senties-Madrid, H., Fossion, R., Toledo-Roy, J. C., Mendoza-Temis, J., ... &

Frank, A. (2016). Heart rate and systolic blood pressure variability in the time domain in patients

with recent and long-standing diabetes mellitus. PloS one, 11(2), e0148378.



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