概率论与数理统计(英文) 第二章

更新时间:2023-07-20 10:14:01 阅读: 评论:0

                  2. Probability  (概率)
11月的英文
2.1 Sample Space  样本空间
statistical experiment (random experiment)
                  ----repeating
                  ----more than one outcome
                  ----know all the outcomes, but dont predict which outcome will be occur 
example:
toss an honest coin---- In this experiment there are only two possible outcomes:
{head}, {tail}
  toss two honest coins---- In this experiment there are 4 possible outcomes:
{H, H}, {H, T}, {T, H}, {T, T}
    toss three honest coins---- what is the possible outcomes?
儿童英文歌曲视频
在现翻译Definition 2.1.1 The t of all possible outcomes of a statistical experiment is called the sample space.
Each outcome in a sample space is called a sample point of the sample space.
Example 2.1.1 Consider the experiment of tossing a die. If we are interested in the number that shows on the top face, the sample space would be
               
If we are interested only in whether the numbers is even or odd, the sample space is simply
                 
Example 2.1.3  An experiment consists of flipping a coin and then flipping it a cond tim
e if a head occurs. If a tail occurs on the first flip then a die is tossing once. To list the elements of the sample space providing the most information,
we construct a diagram of Fig 2.1.1, which is called a tree diagram. Now the various paths along the branches of the tree give the distinct sample points. Starting with the top left branch and moving to the right along the first path, we get the sample point HH, indicating the possibility that heads occurs on two successive flips of the coin. The possibility that coin will show a tail followed by a 4 on the toss of the die is indicated by T4. Thus the sample space is
                                     
Fig .2.1.1  Tree diagram for Example 2.1.3
2.2  Events
Definition 2.2.1  An event is a subt of a sample space.                     
Example 2.2.1 Given the sample space . where is the life in hours of a certain bulb, we are interest in the event that a bulb burnt out before 200 hrs, i.e. the subt of .                             
Example 2.2.2  Assume that the unemployment rate of a region is between 0 and 15%,i.e. we have the sample space ein und alles. If the event unemployment rate is low  means that , then we have the subt of .               
You may have known operation of subts, i.e.
the complement of a subt(余集),
the union of subt,(并集)
the difference of subt(差集)
interction of subts(交集),
so we can say about the complement of an event, the union, difference and interction of events.
certain event(必然事件)
The sample space itlf, is certainly an event, which is called a certain event, means that it always occurs in the experiment. 奥普拉告别秀
impossible event(不可能事件)
The empty t, denoted by, is also an event, called an impossible event, means that it never occurs in the experiment.
Example 2.2.3 Consider the experiment of tossing a die, then
             
Let be the number that shows on the top face, then the event , is the certain event, i.e. .Then even is an irrational number, (irrational-无理数)is the impossible event, i.e..
Example 2.2.4 Consider the sample space consists of all positive integers less than 10, i.e.
                 
Let be the event consisting of all even numbers and be the event consisting of numbers divisible by 3. Find , .
Solution  We have Thus
            英语感叹句
The relationship between events and the corresponding sample space can be illustrated graphical by means of Venn diagrams. In a Venn diagram, we reprent the sample space by a rectangle and reprent events by circles drawn inside the rectangle.
高考机器人
Example 2.2.5  In  Figure 2.2.1
      = regions 1 and 2, = regions 1,2 ,3 ,4 ,5 and 7,
      = regions 2, 6 and 7
Fig 2.2.1  Venn diagram of Example 2.2.5
  The following list summarizes the rules of the operations of events.
1.
2.
北大青鸟总部官网3.
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2.3  Probability of events
1.relative frequency --------probability
用频率定义概率
newhalf是什么意思Considering an Example.
We plant 100 untreated cotton eds.
abnt mindedIf 49 eds germinate, that is, if there are 49 success (by success in statistics we mean the occurrence of the event under discussion) in 100 trials, we say that the relative frequency of success is 0.49.

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