Creating Frequency Tables and Histograms
When organizing continuous data like distances or measurements, you'll need to group values into intervals. For example, with golf ball distances ranging from 244.6m to 277.5m, you might create equal intervals of 5m each.
To create a frequency table, first determine your intervals (like 240≤d<245, 245≤d<250, etc.). Then count how many data points fall into each interval. This organized approach helps you see the distribution of your data before creating a visual representation.
After completing your frequency table, you can create a histogram by drawing columns whose heights represent the frequency of each interval. The resulting graph gives you a visual representation of how your data is distributed.
Visual Check: Does your histogram show a pattern? Look for whether the data is symmetrical, skewed to the right (positive skew), or skewed to the left (negative skew). This tells you important information about your dataset!