An explanation for observations based on reasoning from what you already know is often referred to as a hypothesis. It involves using existing knowledge and logical reasoning to interpret data or phenomena, allowing us to make predictions or understand underlying mechanisms. This process is fundamental in scientific inquiry, where observations lead to questions that are addressed through research and experimentation. Essentially, it's a way to connect the dots between known facts and new observations to derive meaningful conclusions.
Inductive Reasoning foo
it is called an inference
Inductive reasoning.
Inductive reasoning use theories and assumptions to validate observations. It involves reasoning from a specific case or cases to derive a general rule. The result of inductive reasoning are not always certain because it uses conclusion from observations to make generalizations. Inductive reasoning is helpful for extrapolation, prediction, and part to whole arguments.
A hypothesis is not a variable...it is something that you think will happen based on reasoning and observations, before doing an experiment.
A prediction
Empirical reasoning.
Inductive Reasoning foo
Deductive reasoning or if you work backwards it could be inductive reasoning.
Forming conclusions based on experience and observations is called inductive reasoning
Inductive reasoning is a type of reasoning where conclusions are made based on patterns and observations. It involves moving from specific observations to broader generalizations. It is probabilistic and does not guarantee certainty in the conclusions drawn.
it is called an inference
no
no
Inductive reasoning is often used to predict what you may expect to observe. This type of reasoning involves making generalizations based on specific observations or patterns. By using inductive reasoning, you can make educated guesses about future observations or outcomes based on past experiences.
Inductive reasoning.
Inferences are based on reasoning from what you already know and your five senses.