1. The Normal Distribution (Gaussian Distribution) Honors Analysis Learning Target: I can analyze data using the normal distribution.

2. Carl Friedrich Gauss (1777-1855) German mathematician Influenced statistics, algebra, number theory, geometry, physics. Child prodigy! Constructed heptadecagon Triangular numbers Proved Fundamental Theorem of Algebra Influenced development of statistics, including Normal Distribution (Gaussian Distribution)

3. Imagine you took a test in two different classes. In the first class, you made a 93%. The class mean was a 96%, and the standard deviation was 3%. In the second class, you made a 78%. The class mean was a 74%, and the standard deviation was 2%. Which test performance was better?

4. Normal Distribution (Gaussian Distribution)

5. 68-95-99.7 Rule (Approximately) 68% within 1 std dev. of mean 95% within 2 std. deviations of mean 99.7% fall within 3 standard deviations of mean

6. Labeling a Simple Normal Curve Calculate the mean (central value on curve) Each region increases or decreases by one standard deviation from the mean Ex: Test score mean: 74% Std. dev: 2%

7. So what happens if you want to calculate a percentage for a value that ISN’T on your normal curve? Ex: PSAT math test with mean of 48 and a std. deviation of 3. What percent of scores are below 50?

8. Standard Normal Distribution Normal distribution with a mean of 0 and a standard deviation of 1. Total area under curve = 1 Area to left of a given value on the curve gives the percentile rank – percent of scores LOWER than a given score.

9. Z-Scores

10. Example

15. Solution

16. Example Part II