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Chapter 5: Discrete Probability Distributions

Chapter 5: Discrete Probability Distributions 157 Chapter 5: Discrete Probability Distributions Section : Basics of Probability Distributions As a reminder, a variable or what will be called the random variable from now on, is represented by the letter x and it represents a quantitative (numerical) variable that is measured or observed in an experiment. Also remember there are different types of quantitative variables, called Discrete or continuous. What is the difference between Discrete and continuous data? Discrete data can only take on particular values in a range. Continuous data can take on any value in a range. Discrete data usually arises from counting while continuous data usually arises from measuring. Examples of each: How tall is a plant given a new fertilizer? Continuous. This is something you measure. How many fleas are on prairie dogs in a colony?

of 10, the second digit you pick 1 number out of 10, and the third digit you pick 1 number out of 10. The probability of picking the right number in the right order is 1 10 * 1 10 * 1 10 = 1 1000 =0.001. The probability of losing (not winning) would be 1− 1 1000 = 999 1000 =0.999. Putting this information into a table will help to calculate ...

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