Overview
This lecture explains standard deviation, its meaning in the context of normal distribution, and demonstrates how to calculate it both manually and using software.
Variation and Standard Deviation
- Variation is the difference in data values within and between groups.
- Standard deviation measures how spread out (varied) data points are from the mean (average).
- A normal distribution (bell curve) is symmetric and shows how data is distributed around the mean.
Bell Curve and Data Distribution
- In a normal distribution, the mean is at the center.
- About 68% of data falls within ยฑ1 standard deviation of the mean.
- About 95% of data falls within ยฑ2 standard deviations.
- About 99% of data falls within ยฑ3 standard deviations.
Calculating Standard Deviation
- Formula: standard deviation = square root of [sum of squared differences from the mean รท (number of data points - 1)].
- Steps:
- Find the mean of the data set.
- Subtract the mean from each data point.
- Square each result.
- Add all squared differences.
- Divide by (number of data points minus one).
- Take the square root of that result.
- Example: For data 1, 2, 3, 4, 5, the mean is 3, and the standard deviation calculates to 1.58.
Interpreting Standard Deviation
- The mean is placed in the center of the bell curve.
- Add and subtract the standard deviation to the mean to find the range covering most data.
- For two standard deviations, repeat the process to cover 95% of data.
Using Technology
- Standard deviation can be quickly calculated in Google Sheets using the STDEV function.
- Understanding the concept is more important than doing manual calculations every time.
Key Terms & Definitions
- Standard Deviation โ a measure of data spread or variability from the mean.
- Mean (Average) โ sum of the data points divided by the number of points.
- Normal Distribution โ a symmetric, bell-shaped curve showing data distribution.
- Summation (ฮฃ) โ adding together all specified values.
Action Items / Next Steps
- Practice calculating standard deviation by hand for one or two data sets.
- Use Google Sheets or similar programs to calculate standard deviation for larger data sets.
- Review the concepts of mean, variation, and normal distribution.