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.)
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 are the similarities between basketball and ring-ball
what is the similarities between the ulna and the radius
similarities
Inductive statistic deals with prediction while deductive statistic deals with presumption
The descriptive statistics deals with prediction. The inductive and the deductive statistics basically deals with presumption. The inductive statistics is used in making predictions.
the answer between the two:)deductive: means something...no questions about itinductive: questionable
Inductive theory involves forming general principles based on specific observations, moving from specific instances to broader conclusions. Deductive theory involves applying general principles to specific situations, moving from general concepts to specific predictions or explanations. Essentially, inductive reasoning builds from observation to theory, while deductive reasoning applies theory to specific situations.
Inductive research involves collecting data, identifying patterns, and developing theories based on those patterns, while deductive research starts with a hypothesis and uses data to test and confirm or reject that hypothesis. Inductive research is exploratory and generates new theories, while deductive research is confirmatory, testing existing theories.
Inductive approach involves generating theories based on observations and patterns identified in the data, while deductive approach tests existing theories against empirical evidence. Inductive reasoning moves from specific observations to broader generalizations, whereas deductive reasoning moves from general principles to specific predictions. Both approaches are used in scientific research to build knowledge and test hypotheses.
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
Descriptive statistics describe the main features of a collection of data quantitatively. Descriptive statistics are distinguished from inferential statistics (or inductive statistics), in that descriptive statistics aim to summarize a data set quantitatively without employing a probabilistic formulation, rather than use the data to make inferences about the population that the data are thought to represent.
A "conjecture" is a conclusion reached simply from observations...this is a process known as "inductive reasoning". An example would be a weather forecast. The difference between "inductive reasoning" and "deductive reasoning" is that with deductive reasoning, the answer must "necessarily" follow from a set of premises. Inductive reasoning is the process by which you make a mathematical "hypothesis" given a set of observations
Inductive reasoning involves making general conclusions based on specific observations or evidence. Deductive reasoning starts with a general principle or hypothesis and applies it to specific cases to reach a conclusion. Inductive reasoning moves from specific to general, while deductive reasoning moves from general to specific.
inductive reasoning is self propagation and self establishedinductive reasoning starts with empirical observations of specific phenomena, then establishes a general rule to fit the observed facts.deductive reasoning starts with a general rule, then applies that rule to a specific instance.
The deductive method starts with a hypothesis and tests it against observations or evidence, leading to a conclusion. Meanwhile, the inductive method involves making observations, identifying patterns, and forming a general theory or hypothesis. Deductive reasoning moves from general principles to specific instances, while inductive reasoning moves from specific instances to general principles.