In statistics, it is quite common for data to be misleading. It is very easy to reach a wrong conclusion by inputting incorrect information or alteration in data. Here we will see how one can recognize and rectify misleading graphs.
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Jetzt kostenlos anmeldenIn statistics, it is quite common for data to be misleading. It is very easy to reach a wrong conclusion by inputting incorrect information or alteration in data. Here we will see how one can recognize and rectify misleading graphs.
Statistical graphs are considered to be a powerful tool to express a large amount of information in a precise manner. But in some cases, it might deceive the audience.
Misleading graphs are the graphs that depict incorrect conclusions by distorting the given statistical data. They are also called distorted graphs. Misleading graphs can be constructed either intentionally or unintentionally.
Misleading graphs are often used to either mislead or to pursue the audience. For example, a salesperson uses misleading graphs to attract more buyers by showing more sales.
So a graph can be misleading if the scaling is too big or too small. Or when some of the data are missing in the graph.
Let's take a look at how this graph looks by considering some examples.
Here the same data is considered to construct both graphs. But because of different Y-axis scaling selection, the output of both the graphs is different. This graph is considered a misleading graph, as we cannot interpret proper information from it.
In this graph, the scaling range taken is very large as compared to the data. So we cannot accurately get information just by observing the graph.
Here are some of the ways to make a graph misleading.
Scale and Axis alteration
Graphs can be made misleading with the help of axis and scaling. If there is improper or no scaling, or there is some manipulation in axes, then it can create misleading graphs.
3D Graphs
3D graphs give the best visual representation, but they can be misleading at times. It creates confusion and is difficult to understand. So proper conclusions cannot be given and can lead to misleading graphs.
Data usage
Another way to mislead a graph is through the use of information. If some needed information is omitted or unnecessary data are taken into consideration, then that graph can be misleading.
Size
The Interval size of both the axes should be equally distributed and properly considered based on the respected data.
Misleading Pictographs
Pictographs are fun to create and are a nice way to represent some information. They can be misleading if they are not constructed in the proper manner with necessary information and scaling.
There are a few important things to keep in mind when looking through graphs and to recognize misleading graphs.
Title of the graph and labels of the axes and chart should be properly mentioned.
Scaling should start from zero and it should be equally distributed without breakdown.
For pictographs, proper key and symbol size is most important.
Here are some of the steps using which we can rectify a misleading graph
Let us understand to identify and solve misleading graphs
Why is this line graph a misleading graph? And how should it be rectified?
Solution:
The Y-axis interval is not even. Due to this, the biggest jump looks in between 1 and 2. Although it should be between 3 and 4, which makes it misleading.
Also, there are no labels on both axes, which does not give any idea regarding data.
So to make it correct the label should be mentioned on the axes and the interval on the Y-axis should be distributed evenly.
The following graphs represent the change in house prices in a city within 2 years. Identity the misleading graph and accurate graph. And give the conclusion from the graph.
Solution: By comparing graph 1 and graph 2, we see that there is a huge difference in price change in both graphs. We cannot see which information is accurate just from the data.
So let's first identify the misleading graph. Graph 1 does not have a baseline. That means this graph does not start with 0, but with another high interval. But graph 2 does have a baseline. So graph 1 is a misleading graph and graph 2 is the accurate graph for the provided data.
Using graph 2, we can conclude that the price changes from the year 1998 to 1999 are not that high.
Below is the information about the employment rate from the year 2010 to 2021.
Year | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
Rate Percent | 7 | 7.5 | 9 | 13.5 | 17 | 19 | 23 | 21 | 19.5 | 14 | 11.5 | 8 |
A line graph has been constructed based on the provided data. Identify if the construction of the graph is correct or not? If not then identify the errors and construct an accurate graph for the given data. And make a conclusion based on the correct graph.
Solution: As per the given data, the employment rate is from the year 2010 to 2021. But graph A is drawn for the year 2012 to 2016. Hence this graph is a misleading graph, as not all the data is used to construct it.
We shall make a new graph using all the given information.
From graph B we can say that there was an increase in the employment rate from the year 2010 to 2016, But after the year 2016, there is a constant drop in the employment rate. We can conclude that graph A was created to mislead people, as it shows only the increment rate in employment.
There are many ways for a graph to be misleading. Like scale too big or too small, not proper interval size, missing data, the wrong type of graph.
Misleading graphs are the graphs that depict incorrect conclusions by distorting the given statistical data.
A graph that gives improper information or one cannot understand it makes the graph misleading.
Misleading graphs can be found anywhere, where one wants to use it for their benefit.
A misleading graph can be created by the alteration of scaling, by missing data, or by omitting baseline.
What are Misleading graphs?
Misleading graphs are the graphs that provide incorrect conclusions by misinterpretation of data.
Are misleading graphs always created unintentionally?
No, they are also created intentionally to mislead audience.
Identify the way to create misleading graphs.
Data usage
Misleading graphs are also called as?
Organized graphs
If proper scaling in a graph is used then are they considered misleading?
Yes
Which of the following graph/s can be easily made misleading?
3D graph
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