To determine the best graphical representation for the given data, let's consider the nature of the data and the characteristics of different types of graphs.
1. Understanding the Data:
- We have a list of 30 batting averages, ranging from 0.329 to 0.366.
- These values represent continuous quantitative data.
2. What is a Histogram?
- A histogram is best used to represent the frequency distribution of continuous data.
- It divides the data into intervals (bins) and shows how many data points fall into each interval.
3. Frequency Table:
- A frequency table lists the number of times each specific value or range of values occurs in the dataset.
- For continuous data like batting averages, it’s common to group data into intervals (bins) to build the frequency table.
Given that the goal is to display a frequency table graphically and considering that histograms are ideally suited for showing the distribution of continuous data, we can conclude that:
A frequency table for these data can best be graphically displayed as a histogram.
Answer: A. True
A histogram will effectively display how the batting averages are distributed across the defined intervals, making it easy to visualize the spread and concentration of the data.
