Assertion: variable's value | /r/HasProperty | interpreted
Facets:
value: as providing a relative likelihood
type: MANNER
Source sentences:
text: In probability theory, a probability density function (PDF), or density of a continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the random variable would equal that sample.
text: The absolute value is defined and continuous everywhere, and is differentiable everywhere, except for zero.
text: Dynamic languages such as JavaScript or Python generally allow functions to be redefined, that is, re-bound; a function is a variable much like any other, with a name and a value (the definition).
text: The expected values can be interpreted as follows:
text: The b values should be interpreted such that the experimental group is being compared against the control group.
text: The b values should be interpreted such that the experimental group is being compared against the mean of all groups combined (or weighted grand mean in the case of weighted effects coding).