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Independent and Dependent Probability

Independent and Dependent Probability
Independent and Dependent Probability
Independent and Dependent Probability
Independent and Dependent Probability
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PDF

(1 MB|7 pages)
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Standards
  • Product Description
  • StandardsNEW

Interactive Notebook Foldable for Independent and Dependent Probability. This foldable gives the definition, examples and questions for guided practice.

Log in to see state-specific standards (only available in the US).
Understand that, just as with simple events, the probability of a compound event is the fraction of outcomes in the sample space for which the compound event occurs.
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.
Approximate the probability of a chance event by collecting data on the chance process that produces it and observing its long-run relative frequency, and predict the approximate relative frequency given the probability. For example, when rolling a number cube 600 times, predict that a 3 or 6 would be rolled roughly 200 times, but probably not exactly 200 times.
Use data from a random sample to draw inferences about a population with an unknown characteristic of interest. Generate multiple samples (or simulated samples) of the same size to gauge the variation in estimates or predictions. For example, estimate the mean word length in a book by randomly sampling words from the book; predict the winner of a school election based on randomly sampled survey data. Gauge how far off the estimate or prediction might be.
Total Pages
7 pages
Answer Key
N/A
Teaching Duration
N/A
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