Kaoyan key terms
Kaoyan · Get comfortable with the vocabulary.
- Main claim
The central proposition a passage advances, distinguished from examples, background details and ideas the writer attributes to someone else.
- Inference
A conclusion supported by the supplied information, which should not add an assumption merely because it sounds plausible.
- Concession
Acknowledgment of a competing or limiting point within an argument, which does not necessarily abandon the main conclusion.
- Referent
The word or idea to which a pronoun or expression points in context, requiring grammatical and logical agreement.
- Negation scope
The part of a proposition affected by a negative expression, which can change meaning when its position or extent changes.
- Translation fidelity
Preservation of the intended meaning, logical relation and degree of a source statement rather than an unrelated word-by-word arrangement.
- Function domain
The set of allowed input values for a function or expression, checked before operations involving roots, logarithms and denominators.
- Derivative
A local rate-of-change quantity defined by the relevant limit, distinguished from the function value or an accumulated integral.
- Definite integral
A signed accumulated quantity over a specified interval, interpreted with the integrand and relevant assumptions rather than treated as always positive area.
- Stationary point
A point at which the derivative is zero where it exists, which need not be a local maximum or minimum.
- Matrix rank
The dimension of the independent row or column information in a matrix, distinguished from its number of entries or determinant value.
- Invertibility
The existence of a matrix inverse under the applicable square-matrix conditions, not a property inferred from one nonzero entry.
- Sample space
The set of outcomes described by a probability model, with equal likelihood established rather than assumed from a list.
- Conditional probability
The probability of an event given another event, using the conditioning event as the reference set when its probability is positive.
- Independence
A relationship in which learning one event does not change the probability of another under the specified model and conditions.
- Mutual exclusivity
A relationship in which events cannot occur together in one trial, distinct from independence for positive-probability events.
- Expected value
The probability-weighted average of a random quantity under a model, which need not equal any single realized observation.
- Sampling bias
Systematic distortion from how observations enter a sample, which is not automatically eliminated by making the sample larger.
- Course framework
The stated intellectual or curricular system within which a question asks for an interpretation, distinguished from an unqualified universal claim.
- Program route
The intended admission pathway and subject combination, which must be established from actual requirements rather than assumed uniform across Kaoyan.