How are Percentages Used and Abused?

Percentages are used everywhere. From discounts in shops to stories about the efficacy of a new drug. It is perhaps this widespread usage that makes us so susceptible to misinterpreting them. Of course retailers want you to think you're getting a better deal than you are. But it is always a good idea to think carefully about any percentage presented to you and work out what it means.

Let's be curious and ask, 'how are percentages used?'

How are Graphs Manipulated? Skewed Statistics 3

Graphs are useful to present a sets of data in a visually appealing way whilst still containing all the information. Last week in the Skewed Statistics series, we looked at correlation and causation, a topic which often includes graphs. We saw then how data can be manipulated to imply causation. Graphs, too, are easily manipulated. Sometimes this is to make the data easier to read or understand. Other times this manipulation can mislead. It is important to know how graphs are used and abused.

Let's be curious and ask, 'how are graphs manipulated?'

Correlation or Causation? Skewed Statistics 2

Last week we looked at averages and saw how they can be abused. This week we turn our attention to correlation and causation. Correlations are probably the most abused statistical entity, particularly by pseudo-science and disreputable media.

Let's be curious and ask 'correlation or causation?'.

Which Average Should I Use? Skewed Statistics 1

Statistics are quoted all the time in the media. However, sometimes the media, accidentally or otherwise, can skew statistics such that they lie. In many of these cases the statistic is technically correct, but presented in a misleading manner. Skewed Statistics is series of articles, posted on Saturdays, about how different types of statistics should be used, and how they are misused.

Averages are one of the most common types of statistic used. We all probably remember being taught about the different types of averages in school: mean, median, mode, and range. But do we actually know when we should use each type?

Let's be curious and ask, 'which average should I use?'