1. The Normal Distribution
Chapter 10

2. Continuous Random Variable
A variable which can take any real value within a specific range
Denoted by a capital letter such as X
The probability of a continuous random variable being exactly equal to a particular value is 0.

3. Normal Distribution Demo

4. The Normal Distribution Curve

5. * If a continuous variable X is normally distributed with mean µ and standard deviation σ, we write 𝑋~𝑁 𝜇, 𝜎 2 .

6. Pg. 303 Example 1

7. Using the TI-84 to find Normal Probability

8. Pg. 305 Example 2

9. Pg. 306 Example 3

10. Quantiles/k-Values
Quantiles are points in a distribution that relate to the rank order of values in that distribution.
Denoted by k
Types of problems: given a probability, calculate a corresponding measurement
Use the inverse normal function on the calculator.

11. Pg. 308 Example 4 https://www.youtube.com/watch?v=t4w12KRxc5M

12. Pg. 309 Example 5