# How Graphs Can Be Misleading?

## How do you explain a graph?

When it comes to presenting and explaining data charts, graphs, and diagrams, you should help people understand and memorize at least the main points from them.

As to the use cases, diagrams and other visuals perfectly fit for describing trends, making a comparison or showing relationships between two or more items..

## Can statistics prove anything?

Statistics can never “prove” anything. All a statistical test can do is assign a probability to the data you have, indicating the likelihood (or probability) that these numbers come from random fluctuations in sampling.

## Is it possible to misrepresent data and conclusions using statistics?

While most misuses of statistics are inadvertent and arise from a lack of knowledge or planning, others may be deliberate decisions in order to achieve a desired statistical result.

## How do you use graphs?

You would use:Bar graphs to show numbers that are independent of each other. … Pie charts to show you how a whole is divided into different parts. … Line graphs show you how numbers have changed over time. … Cartesian graphs have numbers on both axes, which therefore allow you to show how changes in one thing affect another.

## Can statistics be misused explain with two examples?

Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. The false statistics trap can be quite damaging for the quest for knowledge. … For example, in medical science, correcting a falsehood may take decades and cost lives.

## What is a good graph?

The graph should fill the space allotted for the graph. The graph should be as large as the paper will allow. In order to do this, the graph must be properly scaled. The scale for each axis of the graph should always begin at zero. Each square on a given axis must represent the same amount.

## How can statistics be misleading?

Misleading statistics are simply the misusage – purposeful or not – of a numerical data. The results provide a misleading information to the receiver, who then believes something wrong if he or she does not notice the error or the does not have the full data picture.

Answer – Misleading data is data that are distorted in such way that they look better or worse than it actually is, which can lead to incorrect conclusion.

## How can histograms be misleading?

The y-axis of a histogram shows how many observations are in each group, using counts or percentages. A histogram can be misleading if it has a deceptive scale and/or inappropriate starting and ending points on the y-axis. … It also makes the data set look smaller, if you don’t pay attention to what’s on the y-axis.

## Why are graphs commonly used to present claims?

Why are graphs commonly used to present claims? … Visuals, like graphs, often do a better job persuading peopleD.It is more difficult to argue with numbers.

## What are some examples of misleading graphs or charts?

There are numerous ways in which a misleading graph may be constructed.Excessive usage. The use of graphs where they are not needed can lead to unnecessary confusion/interpretation. … Biased labeling. … Pie chart. … Improper scaling. … Truncated graph. … Axis changes. … No scale. … Improper intervals or units.More items…

## Can statistics be manipulated?

There are several undeniable truths about statistics: First and foremost, they can be manipulated, massaged and misstated. … Second, if bogus statistical information is repeated often enough, it eventually is considered to be true.

## How do you know if a graph is misleading?

The “classic” types of misleading graphs include cases where:The Vertical scale is too big or too small, or skips numbers, or doesn’t start at zero.The graph isn’t labeled properly.Data is left out.

## What is the best way to protect yourself against misleading graphs?

What is the best way to protect yourself against misleading graphs? Read the labels, the scale, the numbers and the context-and ask what story the picture is trying to tell you. This very short TED-Ed video explains it perfectly and is well worth 4 minutes of your time.

## How can you prevent data misleading?

5 Ways to Avoid Being Fooled By Statistics. … Do A Little Bit of Math and apply Common Sense. … Always Look for the Source and check the authority of the source. … Question if the statistics are biased or statistically insignificant. … Question if the statistics are skewed purposely or Misinterpreted.More items…•