Bank reasoning is the process of using a rational, systematic series of steps based on sound mathematical procedures and given statement to arrive at a conclusion. Mathematical logic and philosophical logic are commonly associated with this type of reasoning. Today, bank reasoning is the umbrella term for at least three different types of reasoning. These are known as deductive reasoning, inductive reasoning and adductive reasoning and are all based on deduction, induction and abduction respectively.
Bank Reasoning Ability And Data Interpretation are two things that works together. Before data can be interpreted accurately, the candidate must have a good bank reasoning ability to attain speed and accuracy. In fact bank reasoning ability is not only need for data interpretation but in every area and sectors, everyone and everything needs speed accuracy.
Data interpretation is a major part of quantitative aptitude section for any banking exam. Majority of the questions asked in data interpretation section are based on arithmetic section (bank reasoning). Bank reasoning is all about the process of thinking about something in a logical way. Bank reasoning test is taken basically to test the judgment skills, the sharpness of mind and logical capacity of the candidate.
While preparing for any banking examinations, there is always a battle between speed and accuracy. The dilemma is what matters the most? Attempting maximum questions shouldn't be your priority but for a successful candidate the priority is to attempt maximum accurately. The flow of the lectures has been defined in such a way that the lectures first start with the required Concepts and techniques that are needed, followed by practice questions from that area and additional videos.
Bank reasoning ability exams include reasoning in every tier as this is the only section wherein the aspirants are judged on the basis of their logical thought process and their ability to solve real word problems. Concentration is the best instrument to enhance your speed and accuracy, this is the section which checks your decision making ability and speed using limited inputs.
Data interpretation is part of daily life for most people. Data interpretation is the process of making sense of numerical data that has been collected, analyzed, and presented. Data interpretation is also the process of assigning meaning to the collected information and determining the conclusions, significance, and implications of the findings.
Scientists interpret the results of rigorous experiments that are performed under specific conditions. Quantifiable data are entered into spreadsheets and statistical software programs, and then interpreted by researchers seeking to determine if the results they achieved are statistically significant or more likely due to chance or error. The results help proves or disprove hypotheses generated from an existing theory. By using scientific methods, researchers can generalize about how their results might apply to a larger population. For example, if data show that a small group of cancer patients in a voluntary drug study went into remission after taking a new drug, other cancer patients might also benefit from it.
Certain academic disciplines, such as sociology, anthropology and women’s studies, rely heavily on the collection and interpretation of qualitative data. Researchers seek new knowledge and insight into phenomena such as the stages of grief following a loss, for example. Instead of controlled experiments, data is collected through techniques such as field observations or personal interviews of research subjects that are recorded and transcribed. Social scientists study field notes or look for themes in transcriptions to make meaning out of the data.
Very good lectures, explanation is very clear
Mar 02, 2018