The application of probability in life! Requirements: 15 words, urgent! Urgent! Urgent! Urgent! Urgent! Urgent! Urgent! Urgent!

With the development of science, mathematics is more and more widely used in life, and the mathematics of life is everywhere. As an important part of mathematics, probability is also playing a more and more extensive role. Sampling survey, evaluation, lottery, insurance, etc. often encounter the need to calculate the probability. For example, in an insurance company, 2,5 people of the same age have participated in life insurance, and the probability of death in one year is .2. Everyone pays 12 yuan insurance premium in one year, and when they die, their families can receive 2, yuan paid by the insurance company. What is the probability that the insurance company will make a profit, and what is the probability that the company will make a profit of not less than 1,? At first glance, it is difficult to know whether the insurance company is profitable, but after calculating the knowledge of probability statistics, it can be known that the company is almost certain to be profitable. A = {25× 12-2 x <; }＝{X> 15} From this, we know that P=.999931, and the probability of earning more than 1, is .9835. The above results explain why insurance companies are so willing to carry out insurance business. Besides insurance, probability statistics also has two applications to lottery tickets. According to the report of qianjiang evening news, the lottery market is becoming more and more popular. It is understood that in a certain period of computer welfare lottery in Nanjing, a lottery player who knows probability statistics won one first prize, three second prizes and 33 third prizes, and in one period, a lottery player won the first prize in nine numbers, which triggered countless lottery players' desire to predict their own numbers, and books on probability statistics became popular all of a sudden. Many lottery players who usually have a headache when they see symbols also pick up probability books and chew them with interest. Dr. Chen Jianbo from the School of Economics and Management of Southeast University pointed out that the probability book is all about theoretical knowledge and a lot of mathematical formulas. How to apply the theory of probability book to lottery number selection is the concern of many lottery players. In fact, probability statistics has two main applications: one is to calculate the probability values of various digital numbers by using probability formulas, and then select the number with the maximum probability value. For a simple example, the probability ratio of seven consecutive lottery numbers like "1234567" to non-consecutive numbers is about 29: 6724491 (1: 23). Because of the extremely low probability value, this kind of continuous number is generally not selected. On the other hand, the application is statistics, that is, all the previous winning numbers are counted, and new winning numbers are predicted according to the probability values obtained by statistics. For example, the five-interval number selection method is based on statistics. The "professional" lottery players in Nanjing introduced a number selection rule-reverse number selection method. From the perspective of the structure of the lottery machine, it must ensure that the probability of winning each number is the same. Although it can't be guaranteed to shake the prize once, and it can't be guaranteed to shake the prize 1 times, the more times you shake the prize, the more times you win the prize in each number. Just like tossing a coin, the number of times the two sides appear may be different at the beginning, but with the increase of the number of throws, the number of times the two sides appear will be closer and closer. From this point of view, when choosing numbers, we should try to choose the numbers that have not won the prize in previous times. This is the reverse number selection method, that is, choosing the numbers that didn't win the prize last time or several times before ... This also shows the omnipresence of probability.