NOTE GUYS this page will help you solving probability in an easy manner hope you will be able to understand and like it... so, I shall begin with it....
Please cite your sources. Thanks, Parth.
INTRODUCTION: To introduce probability theory through simple experiments. To use the formula for finding the probability of an event. To find the probabilities of events with equally likely and non-equally likely outcomes. CERTAIN AND IMPOSSIBLE EVENTS To understand the theory behind certain and impossible events. To classify experiments accordingly. To compute related probabilities SAMPLE SPACES : To determine the sample space of an experiment by examining each possible outcome. THE COMPLEMENT OF AN EVENT: To define and identify the complement of an event. To find related probabilities. MUTUALLY EXCLUSIVE EVENTS: To understand the theory behind mutually exclusive and non-mutually exclusive events. To classify an experiment accordingly. Venn diagrams and other visuals are used. ADDITION RULES FOR PROBABILITY: To find the probability of mutually exclusive events by applying the addition rule. INDEPENDENT EVENT: To understand the theory behind independent events. To use the multiplication rule to compute related probabilities. DEPENDENT EVENT: To understand the theory behind dependent events. To use a modified version of the multiplication rule to compute related probabilities. CONDITIONAL PROBABILITY: To understand the theory behind conditional probability. To derive the formula for finding conditional probabilities, and to compute related probabilities.
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