Inductive reasoning involves drawing a general conclusion from specific observations. For example if we notice that several dogs we have encountered have a strong sense of smell. From this idea. We might generalizate that all dogs haveba strong sense of smell.
The strengths refers to the potential of the ideas, it helps creating reasonable hypothesis.
Weaknesses: conclusions are not certain. If the sample is too small the generalization can be inaccurate.
The statistical arguments use numerical data to support a conclusion. It considers relevant data and verified contend.
Analogy is used to compare two similar things and assuming what is true.
For relevant information is essential search information relayed on credible sources. To do that is necessary look up for information written by a qualified author, the information must be current, the objective must be correctly established, and each information and idea need to be verified with evidence.