From the course: Statistics Foundations 2: Probability
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Discrete vs. continuous - Microsoft Excel Tutorial
From the course: Statistics Foundations 2: Probability
Discrete vs. continuous
- For this chapter, there are three new terms we'll need to understand. Random variable, discrete, and continuous. Let's begin with a random variable. Why random? Why do we use that word? Well, as we perform experiments, we need to understand that the value of the eventual outcome of an experiment is unknown or random. This is why we call the result of an experiment a random variable. The amount of rain that will fall in London this month is a random variable. The length of time you will wait in line at Starbucks tomorrow, that, too, is a random variable. As is the number of drinks the 10th customer of the day orders. These random variables can either be discrete random variables or continuous random variables. Let's begin with discrete random variables. The number of drinks the next Starbucks customer will order is very likely as low as zero. Perhaps they just want a food item, but probably no larger than 10. And…
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