FALSE
no. false
Boolean algebra is the process of evaluating statements to be either true or false. It is extremely important for inductive and deductive reasoning as well as for all forms of science.
Both are equally important. Inductive reasoning is when one makes a conclusion based on patterns; deductive reasoning is based on a hypothesis already believed to be true. However, deductive reasoning does give a more "solid" conclusion because as long as the hypothesis is true, the conclusion will most likely to be true. An example is saying that all dogs are big; Harry is a dog, so it must be big. Since the hypothesis all dogs are big is false, Harry may not necessarily be big. If I change my hypothesis to be all dogs are mammals, thus concluding that Harry is a mammal since it is a dog, I would be correct, for I changed my hypothesis to a true fact. Using inductive reasoning, on the other hand, may result in a false conclusion. For example, since I am a human and I have brown hair, one could use inductive reasoning to say all humans have brown hair, which would be false. So, to sum it up, both inductive and deductive reasoning are important, but deductive reasoning is usually more reliable since as long as the hypothesis one's conclusion is based on is true, the conclusion itself will usually be true.
No. False.
false
Inductive research approaches are more widely used than Deductive by the scientific community, but they both have there strength and weaknesses. Inductive method: -Strengths: The inductive method produces concrete conclusions about nature that are backed by a variety of observational evidence. When one of an inductive arguments premises are perceived as false, other observational evidence can be added to the premises to save the argument, this is not the case with deductive reasoning. -Weaknesses: The inductive method produces conclusions that go beyond what there premises warrant. In other words, inductive arguments take a limited amount of observations to provide a universal conclusion, which could still be false. For example, someone observes 10,000 dogs and finds that they all have flees, then inductively concludes that all dogs have flees. This is a situation where overwhelming observational evidence (10,000 dogs have flees) points to an inductively reasoned false conclusion (All dogs have flees). Deductive Method: -Strengths: Deductive reasoning dosent require painstakingly observing a variety of observational evidence to reach a conclusion. One can start off with a generally accepted axiom, or statement, and deduce conclusions based on that axiom. -Weaknesses: Deductive reasoning can make permanent the logical fallacies we have today. In other words, if you use an axiom to deduce a variety of conclusions, and that axiom turns out to be false, all of the conclusions following that axiom are false as a result. hope this helps!
A deductive reasoning may end up giving out a false conclusion, especially if an instance was not well studied. It is the process in which a decision is made in.
indeductive reasoning
False.
false
Inductive logic, or inductive reasoning is any form of argument where the premises mean that the conclusion is probably correct . for example: "that ring cost me only 3 dollars. Rings that are made of gold almost always cost more than 3 dollars. Therefore that ring is not made of gold" That argument was inductive because while it is almost certainly right, it is theoretically possible that the ring is actually made of gold but was just sold for 3 dollars for some reason. Inductive logic is diffrent from deductive logic because in deductive logic if the premises are true and the conclusion logically follows the premises then there is no possible way that the conclusion could be false.
Inductive research starts off with specific observations and move toward general ideas or theory to capture what they show. (Qualitative) Deductive Research starts with a general idea or theory and then moves to test it by looking at specific observations. (Quantitative)