Xem 1-11 trên 11 kết quả Central tendency
  • When you have completed this chapter, you will be able to: Calculate the arithmetic mean, the weighted mean, the median, the mode, and the geometric mean of a given data set; identify the relative positions of the arithmetic mean, median and mode for both symmetric and skewed distributions; point out the proper uses and common misuses of each measure; explain your choice of the measure of central tendency of data; explain your choice of the measure of central tendency of data.

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  • A: Basically, statistics is the “science of data.” There are three main tasks in statistics: (A) collection and organization, (B) analysis, and (C) interpretation of data. (A) Collection and organization of data: We will see several methods of organizing data: graphically (through the use of charts and graphs) and numerically (through the use of tables of data). The type of organization we do depends on the type of analysis we wish to perform.

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  • Drugs that act upon the central nervous system (CNS) influence the lives of everyone, every day. These agents are invaluable therapeutically because they can produce specific physiological and psychological effects. Without general anesthetics, modern surgery would be impossible. Drugs that affect the CNS can selectively relieve pain, reduce fever, suppress disordered movement, induce sleep or arousal, reduce the desire to eat, or allay the tendency to vomit. Selectively acting drugs can be used to treat anxiety, mania, depression, or schizophrenia and do so without altering consciousness....

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  • The second result underlines the interest of a two-factor model rather than a one factor model to represent the stochastic dynamics of interest rates. For example, Balduzzi, Das and Foresi (1998) show the presence of a stochastic central tendency in the dynamics of the short and long term interest rates which explains that the level of the short rate is not the only relevant variable to describe its conditional mean.

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  • 610 Chapter 14. Statistical Description of Data In the other category, model-dependent statistics, we lump the whole subject of fitting data to a theory, parameter estimation, least-squares fits, and so on. Those subjects are introduced in Chapter 15. Section 14.1 deals with so-called measures of central tendency, the moments of a distribution, the median and mode. In §14.2 we learn to test whether different data sets are drawn from distributions with different values of these measures of central tendency. This leads naturally, in §14.

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  • Số đo mô tả (descriptive measure) là phương tiện tóm tắt số liệu (TTSL). – Số đo mô tả tính được từ số liệu của 1 mẫu được gọi là số thống kê (statistic) – Số đo mô tả tính được từ số liệu của 1 dân số được gọi là thông số (parameter) II. SỐ ĐO KHUYNH HƯỚNG TẬP TRUNG (Measures of Central Tendency) : Số đo khuynh hướng tập trung chuyển tải thông tin về giá trị trung bình (average value) của một tập hợp số liệu.

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  • This textbook was designed and developed to provide health care students, primarily health information management and health information technology students, and health care professionals with a rudimentary understanding of the terms, definitions, and formulae used in computing health care statistics and to provide self-testing opportunities and applications of the statistical formulae.

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  • This print-based, self-study course provides public health and other healthcare professionals with basic epidemiology principles, concepts, and procedures used in the surveillance and investigation of health-related events. This resource contains key features and applications of descriptive and analytic epidemiology, an in-depth study of public health surveillance, and a step-by-step description of outbreak investigations.

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  • Chapter 3 - Descriptive statistics: Numerical methods. After mastering the material in this chapter, you will be able to: Compute and interpret the mean, median, and mode; compute and interpret the range, variance, and standard deviation; use the Empirical Rule and Chebyshev's Theorem to describe variation;...

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  • Chapter 3 - Describing data: Numerical measures. Learning objectives of this chapter include: Calculate the arithmetic mean, weighted mean, median, mode, and geometric mean; explain the characteristics, uses, advantages, and disadvantages of each measure of location; identify the position of the mean, median, and mode for both symmetric and skewed distributions; compute and interpret the range, mean deviation, variance, and standard deviation

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  • To better understand the international perspective of public policies for the elderly, in line with the parameters that serve as tendencies for national policies, one must contextualize international health conferences that had health promotion as their central topic. Since the Declaration of Alma-Ata, in 1978(5), it has been noted that measures and characteristics of health promotion imply a search for healthier life styles and active aging. Health promotion is seen as a process of community qualification, aiming to improve life and health conditions.

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