PPT-Predicting Outcomes Using Probability Lines &

Writing Probabilities 36 Learning Goal Today we will learn about probability so that we can predict an outcome or several events using a probability line Well know weve got it when we can express probability using fractions. Context Clues . Context Clues:. words or phrases surrounding a difficult word that can help you define its meaning. . Read the passage on the next slide and supply context clues for the underlined words. . Probability. The idea of probability is that chance behavior is unpredictable on the short run, but has a regular pattern in the long run…. Probability. Behavior is . random. if, while individual outcomes are uncertain, for a large number of repetitions, outcomes are regularly distributed..   Election day is less than a month away, and political analysts are focused on the races for two statewide political offices.  According to a recent poll, in the race for Governor, 40% of voters support the Republican candidate and 53% of voters support the Democratic candidate.  In the race for Attorney General, 61% of voters support the Republican candidate and 37% of voters support the Democrat.  Assume that voter preference of candidate for each of the two offices is independent of each . Unit 1: Probability and Statistics. Lesson 2: Probability. EQ: How do you find probability of . mutually. . exclusive events. , . independent events. , and . complements of event. ?. How do some businesses, such as . Albert Gatt. Corpora and statistical methods. In this part…. CSA5011 -- Corpora and Statistical Methods. We begin with some basic probability theory:. the concept of an experiment. The concept of probability. 3.1 . The Concept of Probability. 3.2 . Sample Spaces and Events. 3.3 . Some Elementary Probability Rules. 3.4 . Conditional Probability and Independence. 3.5 . Bayes’ Theorem. 3-. 2. Probability Concepts. AMATYC Presentation November 2009. Lance Phillips – Tulsa Community College. The Vocabulary of Probability. Experiment – A situation which involves chance or probability the result of which is called an outcome.. Chapter 8. Sarah Cameron. February 23, 2010. Abdolaziz. . Abdollahi. Affiliation: Shiraz University. e-mail: . abdolahi@shirazu.ac.ir. Basic Terms. Randomness. A phenomenon is said to be random if the individual outcomes are uncertain but the long-term pattern of many individual outcomes is predictable.. Slide . 2. Probability - Terminology. Events are the . number. of possible outcome of a phenomenon such as the roll of a die or a fillip of a coin.. “trials” are a coin flip or die roll. Slide . Section 5.1. Randomness, Probability, and Simulation. HAPPY HALLOWEEN!!!!!!. Example 1: . When you toss a coin, there are only two possible outcomes, heads or tails. The figure below on the left shows the results of tossing a coin 20 times. For each number of tosses from 1 to 20, we have plotted the proportion of those tosses that gave a head. You can see that the proportion of heads starts at 1 on the first toss, falls to 0.5 when the second toss gives a tail, then rises to 0.67, and then falls to 0.5, and 0.4 as we get two more tails. After that, the proportion of heads continues to fluctuate but never exceeds 0.5 again.. Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 2 Title and Outline. 2. 2. Probability. 2-1 Sample Spaces and Events . 2-1.1 Random Experiments. 2-1.2 Sample Spaces . Sixth Edition. Douglas C. Montgomery George C. . Runger. Chapter 2 Title and Outline. 2. 2. Probability. 2-1 Sample Spaces and Events . 2-1.1 Random Experiments. 2-1.2 Sample Spaces . 7.9 and 7.10. Theoretical Probability. Theoretical Probability is the ratio of the number of ways an event can occur to the number of possible outcomes.. The . Theoretical Probability. of an event is the . A value between zero and one that describe the relative possibility(change or likelihood) an event occurs.. The MEF announces that in 2012 the change Cambodia economic growth rate is equal to 7% is 80%..