AP Statistics Syllabus Course Overview AP Statistics is a yearlong introductory course to statistics for students who have successfully completed at least Trig/PreCalculus or Algebra III/Trig. The purpose of this AP course is to introduce students to the major concepts and tools for collecting, analyzing and drawing conclusions from data. AP Statistics Review Probability - Northern Highlands Probability Page 1 of 15 Probability Rules A sample space contains all the possible outcomes observed in a trial of an experiment, a survey, or some random phenomenon. • The sum of the probabilities for all possible outcomes in a sample space is 1. • The probability of an outcome is a number between 0 and 1 inclusive. An AP Statistics Test A – Probability – Part IV Name
What is the probability of rolling a combined score greater than 4 with a set of dice (2 cubes)? 2) What is the probability of getting at least two or more heads when tossing 3 coins? 3) What is the key assumption underlying all probability based predictions? 4) The probability of event A is 10% and event B is 20%.
Important Concepts not on the AP Statistics Formula Sheet Important Concepts not on the AP Statistics Formula Sheet Part I: IQR = Q 3 – Q 1 Test for an outlier: 1.5(IQR) above Q 3 or below Q 1 The calculator will run the test for you as long as you ... of a probability distribution use the formula sheet If X is B(n,p) then (ON FORMULA SHEET) ... www.riverdell.org Created Date: 12/20/2011 1:41:51 PM
Start studying AP Stats: Probability. Learn vocabulary, terms and more with flashcards, games and other study tools.describes chance behavior by listing the possible outcomes in the sample space S and giving the probability that each outcome occurs.
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The answer is 0.65 because Pr(~Rain) is the complement of Pr(Rain) and both events are mutually exclusive. When two events are mutually exclusive, . Since probabilities must sum up to 1, this implies that . Since all of the events are mutually exclusive (one of the parties must win), you can get ...
The classical interpretation of probability is a theoretical probability based on the physics of the experiment, but does not require the experiment to be performed.For independent events, the probability of Event A is not affected by the occurance of Event B, so P(A given B) = P(A), and.
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