Final answer:
When describing quantitative data, we discuss measures of central tendency, measures of dispersion, shapes of distributions, and outliers.
Step-by-step explanation:
When describing quantitative data, there are four main things to discuss:
- Measures of Central Tendency: These describe the center or average value of the data. Common measures include the mean, median, and mode.
- Measures of Dispersion: These describe the spread or variability in the data. Common measures include the range, variance, and standard deviation.
- Shapes of Distributions: This refers to the overall pattern or shape of the data when plotted on a graph. Common shapes include symmetric, skewed, and bell-shaped distributions.
- Outliers: These are data points that are significantly different from the rest of the data. They can have a big impact on the measures of central tendency and dispersion.