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Probability measures the likelihood of outcomes and is duly tested on GRE Quantitative Reasoning, making it an essential inclusion in a thorough GRE prep course. This page delivers end to end learning through subtopic-wise video lessons that provide conceptual coverage, worked examples, and direct application on GRE style questions. After completing the videos, you move to a dedicated GRE like practice set that helps you apply your learning across GRE quizzes, GRE sectionals, and GRE full tests.
If you prefer long, comprehensive video lessons that bring all ideas together, watch the Masterclass.
If you prefer short, bite sized video lessons that focus on one concept at a time, work through the concept wise modules below.
Probability explains how to evaluate how likely an event is by comparing desired outcomes with all possible outcomes and expressing that link as a number. The video introduces probability through a clean and friendly flow, shows how to spot outcomes with accuracy, and demonstrates how everyday situations convert into clear probability models. You then see the same ideas used in GRE style problems, which helps you recognize probability questions quickly and apply the reasoning with precision while solving.
Reasoning powered probability approaches chance through clear logic instead of formula driven shortcuts. You work through each situation by identifying valid outcomes, tracking how events develop, and counting possibilities with care before expressing the result as a probability. The video lesson presents this method through lively and easy to follow scenarios, shows how logical evaluation shapes probability decisions, and explains how outcomes convert into final values with accuracy. You then see the same thinking applied to GRE style problems, which helps you handle logic based probability with clarity and steady execution.
This lesson presents probability by counting possibilities with clear structure and purpose. You begin by finding the full set of possible scenarios, then identify how many outcomes support the target event, and finally relate the two to reach the probability value. The video explains how permutations and combinations define both favorable and total scenarios, shows how the counting framework shapes the setup, and reveals how the probability follows directly from this logic. You then see the same approach applied to GRE style problems, which helps the method feel clear, systematic, and dependable while solving.
Binomial probability focuses on the chance that a specific outcome appears a fixed number of times across repeated trials under the same conditions. You track how often the target result shows up within a set number of attempts and turn that structure into a clear probability setup. The video explains binomial probability through practical situations that make repeated trials easy to picture, shows how to frame the setup with accuracy, and demonstrates how final probabilities develop step by step. You then see the same reasoning applied to GRE style problems, which helps you recognize binomial probability fast and use the method smoothly while solving.
Overlap sets probability focuses on situations where groups share common elements. You track how many items belong to each group, how many sit in the overlap, and how many exist in the full population before converting that structure into a probability value. The video explains overlapping sets in a clear and visual way, shows how shared elements reshape favorable and total outcomes, and demonstrates how the overlap drives the final calculation. You then see the same thinking applied to GRE style problems, which helps you follow the setup step by step and solve overlap based probability questions with accuracy.
Bell curve probability centers on understanding how values gather around a central point and how their spread across the curve reflects likelihood. You read positions on the curve, link them to portions of the overall data, and convert that visual structure into the probability of an outcome falling within a chosen range. The video explains bell curve probability in a clean and visual flow, shows how to read curve positions with accuracy, and demonstrates how those positions turn into exact probability values. You then see the same ideas applied to GRE style problems, which helps you move smoothly from curve to number and solve with precision.
Areal probability looks at likelihood by comparing areas within a figure. You identify the region of interest, relate its area to the area of the full shape, and use that ratio to find probability. The video explains areal probability through a bright and visual flow, shows how to read regions with accuracy, and demonstrates how area comparison leads directly to precise probability values. You then see the same reasoning applied to GRE style problems, which helps you use the method with clarity and confident execution.
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