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Multiple choice questions lend themselves to the development of objective assessment items, but without author training, questions can be subjective in nature. Because this style of test does not require a teacher to interpret answers, test-takers are graded purely on their selections, creating a lower likelihood of teacher bias in the results. [8]
Multiple comparisons arise when a statistical analysis involves multiple simultaneous statistical tests, each of which has a potential to produce a "discovery". A stated confidence level generally applies only to each test considered individually, but often it is desirable to have a confidence level for the whole family of simultaneous tests. [ 4 ]
There are two families of multiple-choice questions. [39] The first family is known as the True/False question and it requires a test taker to choose all answers that are appropriate. The second family is known as One-Best-Answer question and it requires a test taker to answer only one from a list of answers.
A multiple-choice test provides the test taker with questions paired with a pre-determined list of possible answers. It is a type of closed-ended question. The test taker chooses the correct answer from the list.
This is because some questions are better at reflecting actual achievement of students, and some test questions are better at differentiating between the best students and the worst students. (Many questions will do both.) A criterion-referenced test will use questions which were correctly answered by students who know the specific material.
An answer of "yes" can be certified by exhibiting a factorization n = d( n / d ) with d ≤ k. An answer of "no" can be certified by exhibiting the factorization of n into distinct primes, all larger than k; one can verify their primality using the AKS primality test, and then multiply them to obtain n.
Personal factors. Several personal factors influence how much you’ll pay for a million-dollar policy: Age: The younger you are, the lower your premiums. Insurers consider younger applicants ...
Multiple factor analysis (MFA) is a factorial method [1] devoted to the study of tables in which a group of individuals is described by a set of variables (quantitative and / or qualitative) structured in groups.