Previous: 1.9 – Lesson 1 Summary
Next: 2.1 – The Cumulative Distribution Function
Previous: 1.9 – Lesson 1 Summary
Next: 2.1 – The Cumulative Distribution Function
Previous: 1.9 – Lesson 1 Summary
Next: 2.1 – The Cumulative Distribution Function
In the previous lesson, we defined random variables in general, but focused only on discrete random variables. In this lesson, we properly treat continuous random variables.
If for example X is the height of a randomly selected person in British Columbia, or X is tomorrow's low temperature at Vancouver International Airport, then X is a continuously varying quantity.
In this lesson we discuss
Simply reading the content in this lesson will not be sufficient: students will need to complete a sufficient number of Exercises and WeBWorK problems in order to prepare themselves for the final exam.
Previous: 1.9 – Lesson 1 Summary
Next: 2.1 – The Cumulative Distribution Function
You can download a PDF version of both lessons and additional exercises here.
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Throughout this website, the following acronyms are used.
PDF = probability distribution function
CDF = cumulative distribution function
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