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Ms. Garcia Math |
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Experiment |
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Is the process by which an observation (or measurement) is obtained. Example: “One experiment is spinning the spinner.” |
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Outcome |
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Is the result of a single trial of an experiment. Example:“The possible outcomes are landing on yellow, blue, red, or green.” |
{yellow, blue, red, green} |
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Event |
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Is one (or more outcomes) of an experiment. Example: "One event of this experiment is landing on blue." |
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Probability |
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Is the measure of how likely an event is. Example: "The probability of landing on blue is one fourth". |
P(Blue) = 1/4 |
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The probability of event A is the number of ways event A can occur divided by the total number of possible outcomes. |
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It could be written as a fraction, a decimal or a percentage. P(Blue) = 1/4 = 0.25 = 25% |
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Probability of an event A |
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Is a number between 0 and 1, inclusive, that measures the likelihood of an event in the following way: If P(A) > P(B) then event A is more likely to occur than event B. If P(A) = P(B)then events A and B are equally likely to occur.” |
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Example: The weather reporter predict a 25 percent chance of rain. P(rain)=25%, P( not rain) = 75% P(rain)<P(not rain) |
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Sample Space |
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A set of all possible outcomes of a random experiment. |
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Rolling a die, There will be 6 outcomes in the sample space: {1, 2, 3, 4, 5, 6} |
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Likely |
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Events with greater than 0.5, 1/2, or 50% probability |
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Let's say the probability of having a sunny day is 0.75 (is most likely to be sunny) |
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Unlikely |
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Events with less than 0.5, 1/2 or 50% probability |
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It is unlikely I will win the lottery |
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Impossible |
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An event with 0% probability |
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Certain |
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An event with 100% probability |
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Equally likely events |
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Events that have the same likelihood of occurring |
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The events of a fair coin toss are equally likely because they each have a probability of 1/2 |
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