| A) Definitions | |
|---|---|
| I) Continuous Random Variable | |
| 1) Distinguishing Between Discrete and Continuous Variables | Ex 1 Ex 2 Ex 3 Ex 4 |
| II) Probability Density Function | |
| 2) Calculating Probabilities Under the Curve | Ex 5 Ex 6 Ex 7 Ex 8 |
| 3) Verifying that \(f(x)\) is a probability density function | Ex 9 Ex 10 Ex 11 Ex 12 |
| 4) Normalizing a Probability Density Function | Ex 13 Ex 14 Ex 15 Ex 16 |
| 5) Finding a Probability | Ex 17 Ex 18 Ex 19 Ex 20 |
| III) Expectation | |
| 6) Calculating an Expectation | Ex 21 Ex 22 Ex 23 Ex 24 |
| IV) Variance | |
| 7) Calculating a Variance | Ex 25 Ex 26 Ex 27 |
| V) Continuous Uniform Distribution | |
| 8) Exploring the Continuous Uniform Distribution | Ex 28 Ex 29 Ex 30 Ex 31 |
| B) Normal Distribution | |
| I) Standard Normal Distribution | |
| 9) Finding a Probability from an Area | Ex 32 Ex 33 Ex 34 Ex 35 Ex 36 |
| II) Normal Distribution | |
| 10) Finding the Normal Distribution | Ex 37 Ex 38 Ex 39 |
| 11) Finding Values Using the Mean and Standard Deviation | Ex 40 Ex 41 Ex 42 Ex 43 |
| 12) Finding Probabilities using Graphic Calculator | Ex 44 Ex 45 Ex 46 Ex 47 |
| 13) Busting Brags and Claims with Normal Curves | Ex 48 Ex 49 Ex 50 Ex 51 |
| III) Empirical Rule for Normal Distribution | |
| 14) Exploring Everyday Statistics | Ex 52 Ex 53 Ex 54 Ex 55 |
| IV) Quantiles | |
| 15) Setting the Threshold with Percentiles | Ex 56 Ex 57 Ex 58 Ex 59 Ex 60 Ex 61 |