Reading the vertical data in a frequency histogram polygon

In summary, the conversation revolves around determining the total number of data observations in a given interval and how to correctly determine the number on the vertical axis. The suggested method is to draw parallel lines to the x-axis and find the closest integer to one of the five subdivisions between adjacent tick marks. This results in a total of 48 data observations, with 20 in the interval 0 - 2, 6 in the interval 2 - 4, and the remaining in the intervals from -4 to 0. There is also a subtle visual pun in the conversation.
  • #1
Vital
108
4
Hello.

Please, take a look at the screenshot from the textbook. They say in the textbook that there are in total 48 data observations, 20 of which lie in the interval 0 - 2, and 6 lie in the interval 2 - 4. Yes, both 20 and 6 are more or less clear on the graph, but how did they come up with 48 in total? I simply can't find the correct number on the vertical axis:
- is it 11 (at midpoint -1%) in the interval from -2 to 0?
- is it 8 or 7 (at midpoint -3%) in the interval from -4 to -2?
- is it 3 in the interval from -4 to -2?

How to correctly determine the number on the vertical axis?
Thank you very much!
 

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  • #2
Vital said:
How to correctly determine the number on the vertical axis?
Draw parallel lines to the x-axis at the points where there is a slope change and see where they intersect the y-axis. The points of intersection must be integers. You should be able to find the closest integer to one of the five subdivisions between adjacent tick marks. Just eyeballing it I get 3, 8, 11, 20, 6 the sum of which is 48.
 
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  • #3
kuruman said:
Just eyeballing it
LOL :biggrin:
 
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Likes kuruman
  • #4
berkeman said:
LOL :biggrin:
The visual pun was unintentional, thanks for pointing it out. :wink:
 
  • #5
kuruman said:
The visual pun was unintentional, thanks for pointing it out.
Well, it's completely non-obvious. Very subtle. Not many people would notice it. I swear. :smile:
 
  • #6
kuruman said:
Draw parallel lines to the x-axis at the points where there is a slope change and see where they intersect the y-axis. The points of intersection must be integers. You should be able to find the closest integer to one of the five subdivisions between adjacent tick marks. Just eyeballing it I get 3, 8, 11, 20, 6 the sum of which is 48.
I see. Thank you very much.
 

1. What is a frequency histogram polygon?

A frequency histogram polygon is a graphical representation of data that shows the frequency or number of times a certain value appears in a dataset. It is a type of bar graph that displays the distribution of data over a range of values.

2. How do you read a frequency histogram polygon?

To read a frequency histogram polygon, start by looking at the horizontal axis, which represents the values or categories of the data. Then, look at the vertical axis, which shows the frequency or number of times each value appears. Finally, interpret the height of the bars to determine the relative frequency of each value.

3. What is the purpose of a frequency histogram polygon?

The purpose of a frequency histogram polygon is to visually display the distribution of data over a range of values. It allows us to easily identify patterns, trends, and outliers in the data, making it a useful tool for data analysis and interpretation.

4. Can you compare two or more frequency histogram polygons?

Yes, you can compare two or more frequency histogram polygons by looking at the shape, height, and width of the bars. Similarities or differences in these characteristics can indicate similarities or differences in the distribution of data.

5. How is a frequency histogram polygon different from a regular histogram?

A frequency histogram polygon and a regular histogram are both types of bar graphs, but they differ in their representation of data. A regular histogram displays the frequency or count of data within each bar, while a frequency histogram polygon displays the relative frequency or proportion of data within each bar. Additionally, the bars in a frequency histogram polygon are connected, creating a polygon shape.

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