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→Subjective and objective probability
#The probability that Mary Poppins has TMDs is 0.15 (quantitative term, relative to the population).
#The probability that Mary Poppins has TMDs is 0.15 (quantitative term, relative to the population).
=== Subjective probability ===
In a context of human subjective uncertainty, the probabilistic, qualitative, comparative and/or quantitative data can be interpreted as a measure of subjective uncertainty by the clinician in order to make the 'states of conviction' numerically representable.
In a context of human subjective uncertainty, the probabilistic, qualitative, comparative and/or quantitative data can be interpreted as a measure of subjective uncertainty by the clinician in order to make the 'states of conviction' numerically representable.
For example, saying that 'the probability that Mary Poppins is affected by TMDs is 0.15 of the cases is the same as saying' in the measure of 15%, I believe that Mary Poppins is affected by TMDs; which means that the degree of conviction is the degree of subjective probability.
For example, saying that 'the probability that Mary Poppins is affected by TMDs is 0.15 of the cases is the same as saying' in the measure of 15%, I believe that Mary Poppins is affected by TMDs; which means that the degree of conviction is the degree of subjective probability.
=== Objective probability ===
On the other hand, events and random processes cannot be described by deterministic processes as 'if A then B'. The statistic is used to quantify the frequency of association between A and B and to represent the relationships between them as a degree of probability that introduces the degree of objective probability. In the wake of the growing probabilization of uncertainty and randomness in medicine since the eighteenth century, the term "probability" has become a respected element of medical language, methodology and epistemology.
On the other hand, events and random processes cannot be described by deterministic processes as 'if A then B'. The statistic is used to quantify the frequency of association between A and B and to represent the relationships between them as a degree of probability that introduces the degree of objective probability. In the wake of the growing probabilization of uncertainty and randomness in medicine since the eighteenth century, the term "probability" has become a respected element of medical language, methodology and epistemology.