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Data analysis and analysis of MPA comprehensive outline for postgraduate entrance examination in elementary mathematics examination
Data analysis is a key content of postgraduate entrance examination questions, including counting principle, probability (including classical probability and Bernoulli probability) and data description, which are all important contents of postgraduate entrance examination questions every year.

A, 202 1 one's deceased father grind tube comprehensive outline content

The so-called outline can grasp the center of gravity, and the correct goal can spare no effort to forge ahead. Therefore, if students determine the professional direction, the first thing to do when preparing for the postgraduate entrance examination is to study the examination outline, and then review it in an orderly way. This is the most scientific and effective preparation method. From the overall content of the syllabus: compared with the elementary mathematics syllabus in the comprehensive ability test of the management entrance examination in recent five years, it can be seen that the examination content is relatively stable and the change difference is small. Today, we will focus on introducing the data analysis module in the syllabus to the students.

1, counting principle

(1) addition principle sum multiplication principle

(2) arrangement and arrangement number

(3) Combination and combination quantity

2. Data description

(1) average

(2) Variance and standard deviation

(3) Chart representation of data: histogram, pie chart and numerical table.

3. Possibility

(1) event and its simple operation

(2) Addition formula

(3) Multiplication formula

(4) Classical probability

(5) Bernoulli probability type

Second, 202 1 Interpretation of the Comprehensive Plan for Postgraduate Entrance Examination

Through the examination, students can intuitively see that there are not many knowledge points examined by the data analysis module, mainly including counting principle, data description and probability. Although the content is not much, this module can well examine candidates' ability to analyze and manage data. According to the statistics of the Institute of Elementary Mathematics for Postgraduate Entrance Examination in our college, the test scores of data analysis module account for about 20% of the whole elementary part. Because some liberal arts candidates have not studied this part before, in order to examine the relative fairness of difficulty, this part of the topic is moderately difficult.

As can be seen from the table, in recent years, the data analysis module is basically stable at about 5 questions. Normally, the counting principle is 1-2, the probability is 2 and the data description is 1. Although the number of questions in this module is not comparable to geometry, it can be said that it is the easiest to open the score gap in the whole initial number. Why do you say that? Mainly because the key and difficulty of this module lies in the comprehensive application of basic knowledge such as counting principle, which is also the general trend of the whole comprehensive examination.

202 1 comprehensive outline of postgraduate entrance examination management:

(1) Counting principle part: The permutation and combination of data analysis part and its application (typical counting problem) are the key points of this part, and the premise of doing permutation and combination and application problem well is to understand and master two counting principles, namely addition principle and multiplication principle. As the saying goes, the foundation is not firm, and the ground shakes. Therefore, when reviewing in the basic stage, students should first lay a solid foundation, deeply understand and distinguish the principles of the two, and clarify the relationship between them. For this knowledge point, a simple summary is to use addition for classification and multiplication step by step. It is called classification if the goal can be achieved, and it is called step by step if the goal cannot be achieved. Few questions in the exam will simply examine one of the principles, and more ways are to combine the two principles. Pay attention to the key points and omissions when doing exercises. After clearly mastering the counting principle, we should practice mastering permutation and combination (sequential arrangement and unordered combination) and application (typical counting problem).

(2) Data description part: This part mainly investigates the calculation of mean, variance and standard deviation and the significance of various statistical charts, and the topic is not difficult. It is necessary for our candidates to master the calculation formulas such as mean and variance, ensure that their calculations are correct, and understand the meaning behind mean, variance and standard deviation. Basically, this part will not lose points.

(3) Probability part: For the probability part, the test focuses on the classical probability type and Bernoulli probability type, which is relatively easy. Classical probability is essentially a counting problem, so the basis of doing classical probability well is to be able to master the application of permutation and combination (typical counting problem). Bernoulli's probability formula is relatively simple. You can directly remember Bernoulli's probability formula and apply it directly after checking the meaning of the question.

Today's content is the data analysis of the 202 1 entrance examination outline of elementary mathematics, hoping to help the candidates preparing for the 20021entrance examination. If necessary, please use the free appointment SMS reminder provided by the global Ivy League to help you grasp the exam dynamics faster.