Exploring Bowling Scores Histogram

How can we visualize the bowling scores of 23 players?

What is the process of creating a histogram from the given data?

Answer:

To visualize the bowling scores of 23 players, we can create a histogram. A histogram is a graphical representation of the distribution of data. In this case, we categorize the bowling scores into specified ranges and tally up the frequency of each range to create the histogram.

To make a histogram with the given scores data, we need to categorize the data into specific ranges called bins. The bin width was specified as ten, so we can divide the scores into the following bins: 70-79, 80-89, 90-99, 100-109, and 110-119.

Next, we count the number of scores that fall into each bin. For example, there are 2 scores in the range 70-79, 6 scores in the range 80-89, 6 scores in the range 90-99, 6 scores in the range 100-109, and 3 scores in the range 110-119.

After categorizing and tallying up the frequency of each range, we can plot the data on a histogram. The x-axis of the histogram will show the ranges of scores, while the y-axis will represent the number of players or frequency with scores in that range. This visualization allows us to easily see the distribution of bowling scores among the 23 players.

Creating a histogram is a useful way to understand the distribution of data and identify patterns or trends. It provides a visual representation that makes it easier to interpret the data and draw conclusions from it.