Data! data! data!” he cried impatiently. “I can’t make bricks without clay.
– Sherlock Holmes
In this article, we are starting a new series on YOU CANalytics that can’t proceed without your participation to solve the data analytics mysteries. In the beginning of each article of this series, you will get a problem that needs you to analyse data.Subsequent articles after the first article will reveal clues based on your questions and comments. Mystery challenges on this series will vary from easy to very hard.
All the analytics challenges will have the same pitfalls we experience in real-world business analytics. Also, like most real problems there are no wrong answers here. So wear your Sherlock Holmes cap, lift your magnifying glass, and get started. Please do write your questions, comments, solution approaches, opinions, thought processes, answers etc. in the discussion section at the bottom of this page.
They all say he is a crook. He has ruined many lives by the use of his die. The allegation against him is that he has loaded his die so that some numbers are more likely to appear after a throw than others. After numerous complaints, Scotland Yard has approached you to investigate the results of the gambler’s use of a die. The following is a bar plot representation of the previous 1000 throws through which he has made a good fortune for his gambling house. Have a look at it and suggest if the allegations against him are correct.
Analyse the above plot and tell whether the gambler’s die is biased or not? In the process, you may want to share your opinion on deeper questions such as: what is randomness and how to measure it?
|Please share your comments, solution approaches, opinions, thought process, answers, and suggestions for this problem at the bottom in the Leave a Comments section. You could ask for more information and Scotland Yard will try to provide it to you.|