Ch 35 Statistical Data and information
高三英语写作风格与文体判断练习题30题

高三英语写作风格与文体判断练习题30题1.The sun was shining brightly as the little girl skipped down the street, her long hair flowing in the breeze. What is the writing style of this passage?nguage is vivid.(语言生动)B.Plot is compact.(情节紧凑)C.Descriptive is detailed.(描写详细)nguage is plain.(语言平实)答案:A。
这段文本中“shining brightly”“skipped down”“flowing in the breeze”等表述使得语言非常生动形象。
选项B,文本中没有体现情节紧凑。
选项C,虽然有一定描写但不算特别详细。
选项D,明显与文本不符,文本语言并不平实。
2.The old man sat quietly on the bench, watching the people pass by. What is the writing style of this passage?nguage is vivid.(语言生动)B.Plot is compact.(情节紧凑)C.Descriptive is detailed.(描写详细)nguage is plain.(语言平实)答案:D。
这段文本语言比较平实,只是简单地描述了老人坐在长椅上看行人经过的场景,没有生动的描写、紧凑的情节和详细的描述。
3.The boy bravely faced the bully, his eyes flashing with determination. What is the writing style of this passage?nguage is vivid.(语言生动)B.Plot is compact.(情节紧凑)C.Descriptive is detailed.(描写详细)nguage is plain.(语言平实)答案:A。
中科院计算机类SCI期刊及分区 月发布

ARTIFICIAL INTELLIGENCE IN MEDICINE COMPUTER VISION AND IMAGE UNDERSTANDING
Journal of Ambient Intelligence and Smart Environments NETWORK-COMPUTATION IN NEURAL SYSTEMS Information Technology and Control Intelligent Data Analysis AI MAGAZINE CONSTRAINTS
中科院计算机类SCI期刊及分区(20
期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS International Journal of Neural Systems
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION INTEGRATED COMPUTER-AIDED ENGINEERING IEEE Transactions on Cybernetics IEEE Transactions on Neural Networks and Learning Systems MEDICAL IMAGE ANALYSIS Information Fusion INTERNATIONAL JOURNAL OF COMPUTER VISION IEEE TRANSACTIONS ON IMAGE PROCESSING IEEE Computational Intelligence Magazine EVOLUTIONARY COMPUTATION IEEE INTELLIGENT SYSTEMS PATTERN RECOGNITION ARTIFICIAL INTELLIGENCE KNOWLEDGE-BASED SYSTEMS NEURAL NETWORKS EXPERT SYSTEMS WITH APPLICATIONS Swarm and Evolutionary Computation APPLIED SOFT COMPUTING DATA MINING AND KNOWLEDGE DISCOVERY INTERNATIONAL JOURNAL OF APPROXIMATE REASONING SIAM Journal on Imaging Sciences DECISION SUPPORT SYSTEMS Swarm Intelligence Fuzzy Optimization and Decision Making
中国海关统计年鉴 英文

中国海关统计年鉴英文China Customs Statistical YearbookThe China Customs Statistical Yearbook is an annual publication that provides comprehensive and detailed statistical data on China's customs and foreign trade. The yearbook covers a wide range of topics, including import and export statistics, trade by region and country, trade by product category, trade by enterprise ownership, trade by transportation mode, and trade by customs district.The yearbook presents the data in tables, charts, and graphs, making it easy to understand and analyze the trends and patterns in China's foreign trade. It also includes a wealth of information on China's trading partners, major trading commodities, trade balance, and trade policies.The China Customs Statistical Yearbook is an essential reference for policymakers, researchers, and businesses interested in understanding the dynamics of China's foreign trade. It provides valuable insights into China's trade performance, market trends, and trade policies, helping users make informed decisions and strategic plans.The yearbook is published by the General Administration of Customs of the People's Republic of China and is available in both Chinese and English. The English version is widely used by international organizations, foreign governments, and businesses to gain insights into China's trade dynamics and opportunities.Whether you are a researcher, policymaker, or businessperson, the China Customs Statistical Yearbook is a valuable resource for understanding and analyzing China's foreign trade.。
统计结果的英语作文

统计结果的英语作文Title: Analyzing Statistical Data: Insights and Implications.Statistical data, often considered the backbone of informed decision-making, plays a pivotal role in various fields, from business analytics to scientific research. In today's world, where information is at our fingertips, understanding and interpreting statistical data has become increasingly important. This article delves into the essence of statistical analysis, exploring its applications, methods, and the insights it reveals.Applications of Statistical Data.Statistical data finds its application in almost every domain of human activity. In business, it helps companies track performance, predict market trends, and make informed decisions about investment, production, and sales. In medicine, statistical analysis is used to evaluate theeffectiveness of treatments, understand disease patterns, and predict health outcomes. In social sciences, it aids in understanding population behaviors, trends, and patterns.Methods of Statistical Analysis.Statistical analysis involves a range of techniques and methods to process and interpret data. Descriptive statistics, for instance, summarize data through measures like mean, median, mode, and standard deviation, providing a snapshot of the data's central tendency and dispersion. Inferential statistics, on the other hand, allows researchers to draw conclusions about a population based on a sample. Techniques such as regression analysis, ANOVA, and chi-square tests are commonly used to test hypotheses and identify relationships between variables.Insights from Statistical Data.Statistical data, when analyzed correctly, can yield profound insights. For instance, in business, it can reveal patterns in customer behavior, market trends, and productperformance. This information can be used to refine marketing strategies, improve product quality, and increase customer satisfaction. In the medical field, statistical analysis can help identify risk factors for diseases, predict patient outcomes, and evaluate the effectiveness of new treatments.Challenges and Limitations.While statistical data can provide valuable insights,it also has its limitations. One of the main challenges is ensuring data quality. Inaccuracies, biases, and incomplete data can lead to misleading conclusions. Additionally, statistical analysis often assumes a certain level of randomness and normality in data, which may not always be the case. Furthermore, statistical significance does not always translate to practical significance, meaning a finding may be statistically significant but may not have a meaningful impact in real-world scenarios.Conclusion.Statistical data, when interpreted correctly, can provide valuable insights across various fields. It helps us understand patterns, trends, and relationships in data, enabling us to make informed decisions and predictions. However, it is important to remember that statistical analysis has its limitations, and it should always be used in conjunction with other forms of evidence and expertise. By harnessing the power of statistical data, we can gain a deeper understanding of the world and make more informed and effective decisions.。
提级论证流程

提级论证流程As we consider the process of 提级论证, it is important to understand the various steps involved and the reasoning behind each step. 提级论证流程包括多个步骤,每个步骤都有其特定的目的和依据。
The first step in the 提级论证 process is to gather all relevant data and information pertaining to the issue at hand. 提级论证流程的第一步是收集与问题相关的所有数据和信息。
This may include statistical data, expert opinions, and historical background information. 这可能包括统计数据、专家意见和历史背景信息。
Once all relevant data has been gathered, the next step in the 提级论证 process is to analyze the information and identify any patterns or trends. 一旦收集了所有相关数据,提级论证流程的下一步就是分析信息,识别任何模式或趋势。
This may involve the use of statistical analysis, qualitative research methods, or a combination of both. 这可能涉及使用统计分析、定性研究方法或两者的结合。
The goal of this step is to gain a deeper understanding of the issue and to identify any potential causes or contributing factors. 这一步的目标是更深入地了解问题,并识别任何潜在的原因或影响因素。
地理学专业四川省考研地理信息系统与地理统计分析重点概念整理

地理学专业四川省考研地理信息系统与地理统计分析重点概念整理地理信息系统(Geographic Information System,简称GIS)是一种集地理空间数据采集、管理、分析和可视化展示为一体的计算机系统。
它主要由地理数据库、地理属性数据、地理位置数据、地图制作与分析等组成。
地理信息系统在地理学领域中起到了重要的作用,广泛应用于自然资源管理、城市规划、环境保护、农业决策等众多领域。
地理统计分析是指通过对地理现象的统计数据进行处理、分析和解释,以获得关于地理现象特征、分布规律以及相互关系的方法和技术。
地理统计分析是地理学中的一门重要的研究方法,通过对地理数据的处理与分析,可以揭示地理现象背后的规律和趋势,为我们了解和探索地球表层的特征提供了有力的工具。
在四川省考研地理学专业中,地理信息系统与地理统计分析是两个重要的研究方向和学科领域。
下面将对这两个领域的关键概念进行整理与介绍。
一、地理信息系统(GIS)的关键概念1. 地理数据(Geographic Data):地理信息系统的基础是地理数据。
地理数据是指以地理位置为基础的,用来描述地球上特定现象或特征的数据,包括地理位置数据、地理属性数据等。
地理数据的采集、处理和管理是地理信息系统的核心任务。
2. 地理数据库(Geographic Database):地理数据库是地理信息系统存储地理数据的载体,它是将地理数据按特定格式和结构进行组织和管理的数据库系统。
地理数据库包括空间数据和属性数据两个部分,通过地理数据库可以实现对地理数据的高效检索和分析。
3. 地图制作与分析(Map Production and Analysis):地图制作是地理信息系统中的一项重要任务,它通过将地理数据以图形化的方式呈现出来,提供给用户可视化的地理信息。
地图分析则是对地图中的地理数据进行量化和分析,从而揭示地理现象的规律和趋势。
4. 空间分析(Spatial Analysis):空间分析是地理信息系统中的核心功能之一,它通过对地理数据的处理和分析,探索地理现象之间的空间关系和相互作用。
互联网时代下信息真伪辨别的重要性英语作文范文

互联网时代下信息真伪辨别的重要性英语作文范文Title: The Importance of Discerning Information Authenticity in the Internet AgeIntroduction:The rapid development of the internet has brought about unprecedented convenience in accessing information. However, it has also introduced significant challenges in distinguishing between authentic and deceptive information. This essay explores the crucial role of discerning information authenticity in the digital era and provides insights into effective strategies for individuals to navigate the vast online landscape.Body:1. The proliferation of misinformation:a. The ease of publishing and sharing information online.b. The lack of stringent fact-checking procedures.c. The spread of misinformation through social media platforms.2. The consequences of misinformation:a. Influencing public opinion and perception.b. Undermining credibility and trust in institutions.c. Potentially leading to adverse actions and behaviors.3. The importance of information verification:a. Preserving the accuracy and reliability of knowledge.b. Making informed decisions based on verified information.c. Safeguarding personal and collective well-being.4. Strategies for discerning information authenticity:a. Assessing the credibility of sources:i. Verifying author credentials and expertise.ii. Evaluating the reputation and reliability of the publishing platform.iii. Cross-referencing information with multiple credible sources.b. Analyzing the content:i. Scrutinizing the use of logical fallacies or emotional manipulation.ii. Identifying bias and agendas.iii. Fact-checking claims and statistical data through reputable fact-checking organizations.c. Utilizing critical thinking:i. Questioning the veracity and motives behind the information.ii. Considering alternative viewpoints and counterarguments.iii. Relying on evidence-based reasoning.5. The role of technology and media literacy:a. Promoting digital literacy education:i. Educating individuals about information verification techniques.ii. Teaching critical thinking skills in the digital landscape.iii. Encouraging media literacy to recognize misinformation patterns.b. Leveraging technology for fact-checking:i. Utilizing automated tools for identifying false information.ii. Supporting initiatives for AI-driven detection offake news.iii. Encouraging social media platforms to emphasize accurate information sharing.Conclusion:In the internet era, the ability to discern information authenticity is crucial to maintaining an informed societyand avoiding the detrimental consequences of misinformation. By implementing strategies like source credibility assessment, content analysis, and critical thinking, individuals can navigate the vast online landscape more effectively. Furthermore, technology and media literacy play a vital rolein promoting information verification and combating thespread of fake news. By collectively prioritizing the importance of information authenticity, we can safeguard the integrity of knowledge and make well-informed decisions inthe digital age.。
技术统计 英语

技术统计英语Technical statistics is a branch of statistics that focuses on the analysis and interpretation of data within the realm of technology and engineering. It involves the use of mathematical and statistical methods to investigate trends, patterns, and relationships in data sets related to technology, such as computer science, engineering, and information technology.One of the primary objectives of technical statistics is to help decision-makers within technology-focused industries make informed decisions based on data-driven insights. By applying statistical techniques to analyze data, organizations can identify potential risks, optimize processes, and improve overall performance.There are several key concepts and techniques that are commonly used in technical statistics, including hypothesis testing, regression analysis, time series analysis, and Bayesian statistics. These techniques help researchers and practitioners in technology fields to draw meaningful conclusions from data and make predictions about future outcomes.In recent years, the field of technical statistics has become increasingly important as organizations across various industriesare collecting and analyzing large volumes of data to gain a competitive edge. The rise of artificial intelligence and machine learning has also fueled the demand for skilled professionals who are proficient in technical statistics.Overall, technical statistics plays a crucial role in helping organizations leverage data to drive innovation, improve decision-making, and achieve business goals in the rapidly evolving technological landscape. By applying statistical methods to technology-related data, organizations can gain valuable insights that lead to competitive advantages and successful outcomes.。
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35.2 CURRENT CONDITIONS
35.2.1 Statistical Information
The CDSI, which is responsible for the organization of the statistical sector, expanded the scope of its statistical researches and studies to cover a number of social and economic activities. It also developed its statistical bulletins and periodicals to monitor economic, social and demographic changes more comprehensively and faster. For their part, most government agencies and public institutions provided various detailed statistical bulletins on their sectoral tasks and activities. Under the Eighth Development Plan, the detailed results of the 2004 General Census of Population and Housing were published. The Census constituted a general framework for population and social development research, and a reference base for a number of studies conducted by various agencies, including the Atlas of Population and Housing prepared by CDSI published in 2007. In addition, results of the 2003 Establishment Census, which constitutes a framework and an important resource for the annual economic researches, as well as for periodic surveys, were published. Over the period, preparations were completed for the General Census of Population and Housing to be conducted in 2010, followed in the same year by the Economic Establishment Census. The statistical surveys system developed significantly, both in terms of the topics addressed and the depth and comprehensiveness of the surveys conducted. Moreover, surveys were organized in specific time cycles. Over the period of the Eighth Plan, various surveys were conducted (Table 35.1), including:
Population and Social surveys:
Studies demographic, economic and social phenomena of population Provides information on the characteristics of houses and the Every 5 years and infrastructure to which they are connected Identifies characteristics of the disabled Every 5 years in terms of size, type of disability and proliferation Provides economic, social and Semidemographic data on manpower, both Annually employed and unemployed Provides data on averages and Every 5 years percentages of household income and expenditure on goods and services Provides data on pilgrims, such as Annually numbers, nationalities and gender Every 3 Inventories services available in every years population centre Every 5 years Provides data on economic activities and updates databases for specialized economic research Measures participation of the tourism sector in the development process Provides data on finance and insurance activity Identifies rates of growth of enterprises Provides data on the volume of foreign investment and its sources Provides indicators for the purpose of preparing estimates of the quarterly national accounts Provides an index for industrial production Builds price-movement indices for wholesale goods and services weighted by their relative contributions to total cost of living expenditure Builds price movement indices for wholesale goods and services Monitors price movement of goods and services by usage
This chapter presents the current conditions of the services of the Central Department of Statistics and Information (CDSI) and the developments that took place under the Eighth Development Plan. It also reviews the key issues and challenges that need to be addressed under the Ninth Development Plan, assesses projected demand for the services of the Department, and presents the future vision, the objectives, policies and targets set for it under the Ninth Development Plan.
STATISTICAL DATA AND INFORMATION SERVICES
35.1 INTRODUCTION
During the period of the Eighth Development Plan, work continued on developing databases and information bases to meet the increasing needs for statistical data and information, which are critical inputs for economic, social and environmental development planning, in addition to their use in civil, academic, economic and social institutions. In view of the integration of the national economy into the global system, especially since the accession of the Kingdom to the WTO at the end of 2005, demand by various international institutions for data and information has increased. The Kingdom kept pace with all the above developments. There was marked progress during the Eighth Development Plan in sectoral and specialized databases. Population, economic and social statistics were expanded and diversified, and their timelines developed in line with the requirements of their varied usages. Moreover, efforts were made to ensure that statistical surveys are carried out regularity within specific time cycles. The Ninth Development Plan envisages continuation of efforts and plans to develop statistical data in the public and the private sectors and expand their coverage; in addition to continuing to build the statistical capacity of various agencies, based on international best practice. The plan also envisages developing social statistics, diversifying the price index, and providing social indicators for regions and major cities. Moreover, to be able to measure performance in each sector and formulate plans for future developments, the Plan aims at developing databases for various sectors. Furthermore, the time cycle of several indicators will be reduced, as will be the timelines for providing and disseminating various data. Ninth Development Plan Page 677 Chapter 35 Statistical Data and Information Services