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Data Analysis and Probability Standard
Data Analysis and Probability Standard (pre-K - 2)
Data Analysis and Probability Standard (3 - 5)
describe events as likely or unlikely and discuss the degree of likelihood using such words as certain, equally likely, and impossible;
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predict the probability of outcomes of simple experiments and test the predictions;
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understand that the measure of the likelihood of an event can be represented by a number from 0 to 1.
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Data Analysis and Probability Standard (6 - 8)
understand and use appropriate terminology to describe complementary and mutually exclusive events;
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use proportionality and a basic understanding of probability to make and test conjectures about the results of experiments and simulations;
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compute probabilities for simple compound events, using such methods as organized lists, tree diagrams, and area models.
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Data Analysis and Probability Standard (9 - 12)
understand the concepts of sample space and probability distribution and construct sample spaces and distributions in simple cases;
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use simulations to construct empirical probability distributions;
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compute and interpret the expected value of random variables in simple cases;
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understand the concepts of conditional probability and independent events;
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understand how to compute the probability of a compound event.
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