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Here are the 30 best lifetime baseball batting averages of all time, arranged in
order from lowest
to highest:
0.329, 0.330, 0.331, 0.331, 0.333, 0.333, 0.333, 0.334, 0.334, 0.334, 0.336,
0.337,
0.338, 0.338, 0.338, 0.340, 0.340, 0.341, 0.341, 0.342, 0.342, 0.342,
0.344
, 0.344, 0.345, 0.346, 0.349, 0.356, 0.358, 0.366
A frequency table for these data can best be graphically displayed as a
histogram.
A. True
B. False

Sagot :

GinnyAnswer
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.
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