it can never happen). A. develop a uniform probability model by assigning equal probability to all outcomes, and use the model to determine probabilities of events. For example, if a student is selected at random from a class, find the probability that Jane will be selected and the probability that a girl will be selected. Common Core: 7th Grade Math : Develop a Uniform Probability Model by Observing Frequencies in Data Generated from a Chance Process: CCSS.Math.Content.7.SP.C.7b Study concepts, example questions & explanations for Common Core: 7th Grade Math Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. Develop probability models (7.SP.C.7) Develop a probability model and use it to find probabilities of events. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down. Compare each outcome to the total number of possible outcomes. How To: Given a probability event where each event is equally likely, construct a probability model. Identify every outcome. Determine the total number of possible outcomes.

If an event is a certainty, then its probability must be equal to 1 (i.e. If you're seeing this message, it means we're having trouble loading external resources on our website. For example, find the approximate probability that a spinning penny will land heads up or that a tossed paper cup will land open-end down.

Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. If an event is impossible, then its probability must be equal to 0 (i.e. it always happens). Practice creating probability models and understand what makes a valid probability model. A probability model is a mathematical description of long-run regularity consisting of a sample space S and a way of assigning probabilities to events. Practice creating probability models and understand what makes a valid probability model.

Probability models must satisfy both of the above rules.