01 Key Concepts
Shape of the Normal Curve
Symmetric, bell-shaped, with most values clustered near the mean and fewer values farther away in either direction.
Mean and Standard Deviation
The mean (written 'mu') sets the curve's center; the standard deviation (written 'sigma') controls its spread โ a larger sigma means a wider, flatter curve.
The Empirical Rule (68-95-99.7 Rule)
About 68% of values fall within 1 standard deviation of the mean, about 95% within 2, and about 99.7% within 3.
Standardizing with Z-Scores
A z-score converts any normal value to a standard scale: z = (x - mean) / standard deviation, telling you how many standard deviations x is from the mean.
Standard Normal Distribution
The special case where mean = 0 and standard deviation = 1; z-scores let any normal distribution be compared using this standard version.
02 Key Formulas
- z = (x - mean) / standard deviation
03 Solved Examples
- z = (x - mean) / standard deviation = (85 - 70) / 10.
- 60 is 1 standard deviation below the mean (70-10=60). 80 is 1 standard deviation above (70+10=80).
- The Empirical Rule states about 68% of values fall within 1 standard deviation of the mean.
- Rearrange the z-score formula: x = mean + z*standard deviation.
- x = 50 + (-2)*5 = 50 - 10.
04 Practice Questions
๐ Normal Distribution โ Downloadable Worksheet
10 questions with a full answer key. Grab the PDF to print, or try the interactive version in your browser.