application of probability and statistics
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Statistics try to get information from data sets. Sometimes, you want to represent a lot of complicated information from a large dataset in a way that is easily understood. This is called descriptive statistics.
An example of this is the so-called worm plot used in cricket: on the cause of a game of cricket there may be many hundreds of balls and races. In the worm diagram depicted below, England's performance is described by the blue line, and the West Indies "by the green line. You can see at a glance that, although there was variation in the rate of execution, England consistently scored At a higher rate than the West Indies, and thus won the party.
Although some information has been lost, it is not known for example what balls were made in the overs, this summary graph clearly shows all the significant information. The human mind is very visual, and that is why graphics, such as graphs or pie charts, are very good for transmitting statistical information.
Better understanding of statistics can save you a lot of money. I will not buy lottery tickets unless I really want to support (= freely give my money to) the seller.
It can save you from anxiety, knowing that the vast majority of people on this planet die of perfectly natural causes. Statistics of what appears in the news tend to distort that knowledge, and you have to actively counterbalance it to stay healthy.
Our intuition is not good in statistics and can, in certain situations, deviate.
If you have time to read it "Think fast and slow" is a very good book on this. It is a very disturbing book too, every ten pages appears with something that you think can not be true. And you leave it frustrated ... but after half a day reflecting on that you must admit that the book is fine again, and again, and again ...