This chapter emphasizes the concept of quantitative data (the data that can be counted
with real values) an its distribution whis is usually used to describe the quantitative
display of data, introducing several graphics commonly used to display quantitative
data, for example: Histogram, relative frequency histogram, stem and leaf display, and
dotplot.
Vocabulary
● Outliers: values that are either too high or too low compared to the rest of the
data affecting the distribution.
● The Quantitative data condition: You can only perform regression on quantitative
variables
● Mean: the average of all the data values
● Median: the value that is in the middle of data if you lined it up from lowest to
higher
● Mode: the most frequent value
● Center: the middle point of the data
● Standard deviation