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Mathematics | Grade : 7
Domain - Statistics and Probability
Cluster - Investigate chance processes and develop, use, and evaluate probability models.
[7.SP.C.7.b] - Develop a probability model (which may not be uniform) by observing frequencies in data generated from a chance process. 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. Do the outcomes for the spinning penny appear to be equally likely based on the observed frequencies.
- Probability
A number between 0 and 1 used to quantify likelihood for processes that have uncertain outcomes (such as tossing a coin, selecting a person at random from a group of people, tossing a ball at a target, testing for a medical condition). - Probability model
A probability model is used to assign probabilities to outcomes of a chance process by examining the nature of the process. The set of all outcomes is called the sample space, and their probabilities sum to 1.
[AII.S-IC.A.2] -
Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation. For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of five tails in a row cause you to question the model?
[MIII.S-IC.A.2] -
Decide if a specified model is consistent with results from a given data-generating process, e.g., using simulation.* For example, a model says a spinning coin falls heads up with probability 0.5. Would a result of five tails in a row cause you to question the model?