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5.1 Continuous Probability Functions

Probability as area under a density curve, total area pinned at one, and why a single exact value carries probability zero.

Statistics, 5.1 Continuous Probability Functions

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5 exercises

5.1 Exercise 8

What is the area under f(x) if the function is a continuous probability density function?

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5.1 Exercise 10

A continuous probability function is restricted to the portion between x = 0 and 7. What is P(x = 10)?

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5.1 Exercise 12

f(x), a continuous probability function, is equal to 1 12 \frac{1}{12}, and the function is restricted to 0 ≤ x ≤ 12. What is P (0 < x < 12)?

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5.1 Exercise 16

f(x), a continuous probability function, is equal to 1 3 \frac{1}{3} and the function is restricted to 1 ≤ x ≤ 4. Describe P( x> 3 2 ). P \left(x > \frac{3}{2}\right) .

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5.1 Exercise 18

For each probability and percentile problem, draw the picture.

When age is rounded to the nearest year, do the data stay continuous, or do they become discrete?  Why?

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4.7 Discrete Distribution (Playing Card Experiment)5.2 The Uniform Distribution

Adapted from Statistics © 2022 Rice University. Licensed under CC BY 4.0. Source: Statistics. Imported at revision 7dea80a.

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