DRAWING CONCLUSIONS

As it was explained in the previous entry, "CURIOUS NBA STATISTICS", statistics is "a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data".

The application of statistical procedures dates back to the year 3050 before Christ, when a register of population and wealth was carried out in Egypt in order to prepare the construction of the pyramids. Later, Egyptians, Greeks and Romans also carried out some censuses with tributary, social and military purposes, and much later, in the sixteenth century, statistical inventories were published in Germany, Italy and France.

Although initially the statistics arises from the elaboration of censuses, its application is currently extended to numerous fields, such as agriculture, biology, politics, psychology, education and so on. However, there are many people who for lack of critical sense of a statistical nature are very easily impressed by surprising statistical coincidences that have nothing surprising. So, for this reason, it is quite important to draw conclusions before giving final conclusions. 

According to the previous reasoning, it will be exposed some statistical examples of not giving premature conclusions and I would like you to share your opinion, in the comments section, about that non statistical relation.

Statistics show that almost all traffic accidents occur between vehicles that travel at moderate speed. However, very few of that traffic accidents occur at more than 150 km per hour. Does this mean that it is safer to drive at high speed?

A recent psychopedagogical study has shown that children with large feet can read better than those with small feet. Is foot size a good tool to measure the ability of reading in children?

In 1984 many more people died in Spain due to traffic accidents than in 1960. Is this enough to affirm that it was more dangerous to travel in 1984 than in 1960?