Inductive statistics is a branch of statistics for the purpose of making observations and predictions. Deductive statistics can be thought of as "pure statistics," which do not pertain to making observations or predictions.
Ex:
Deductive Statistics: Counting the number of combinations from flipping a coin 100 times. (Not helpful in determining the probability of getting heads.)
Inductive Statistics: Flipping a coin 100 times. (Helpful in determining the probability of getting heads.)
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Deductive reasoning is a logical process in which a conclusion is drawn from a set of conclusions that contain no more information than is already available. This conclusion is logically true. . Inductive reasoning is a logical process in which a conclusion is proposed when it contains more information than the observations or experiences on which the conclusion is based. The terms of the conclusion is verifiable only in terms of future experience. For example, there is no certainty that a white crow will be found tomorrow, although past experience will make the occurance unlikely
Both models are used for education purposes, but have different approaches. The Tyler model is scientifically based and asks that teachers develop their own curriculum. The Taba model uses seven distinct steps, and the teachers are supposed to put the steps together for the students.
what is the similarities between the ulna and the radius
similarities
There are zero similarities between the two.