Bài giảng Quản trị chất lượng: Chương 6 Bảy công cụ kiểm soát chất lượng trình bày biểu kê hoặc phiếu kiểm tra (checksheet), lưu đồ (Flowchart), biểu đồ tần suất (Histogram chart), biểu đồ Pareto (Pareto chart), biểu đồ phân tích nhân quả (Cause and Effect diagram –Ishikawa diagram), biểu đồ phân tán (Scatter diagram), biểu đồ kiểm soát (Control chart).
Bão hoà. Hành vi thoả mãn. Tiết kiệm. Các hiệp hội tiết kiệm và cho vay. Hàm Tiết kiệm. Phương pháp tiết kiệm - đầu tư đối với cán cân thanh toán.
2760 Say, Jean-Baptiste 2761 Scarcity 2762 Scarce currency 2763 Scatter 2764 Scatter diagram 2765 Schooling functions
(1767-1832) Sự khan hiếm. Đồng tiền hiếm. Biểu đồ tán xạ. Đồ thị rải. Các hàm giáo dục.
2766 Schultz, Theodore W.
2767 Schumpeter, Joseph A. 2768 Scientific tariff
(1883-1950) Thuế khoa học.
C H A P T E R
Good visibility – pictorial presentation of data
This chapter will help you to:
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illustrate qualitative data using pictographs, bar charts and pie charts portray quantitative data using histograms, cumulative frequency charts and stem and leaf displays present bivariate quantitative data using scatter diagrams display time series data using time series charts use the technology:
Medical quality management is a term that has yet to find its way into any leading compendium
of health care definitions. Nevertheless, it represents an area in which almost all
physicians in active clinical practice are engaged on a daily basis as well as the primary
field of professional action for an estimated 16,000 physicians in the United States and an
unknown but growing number internationally.
Chapter 13 - Linear regression and correlation, after studying this chapter you will be able to: Identify a relationship between variables on a scatter diagram, measure and interpret a degree of relationship by a coefficient of correlation, conduct a test of hypothesis about the coefficient of correlation in a population,...and other contents.
Chapter 4 - Describing data: Displaying and exploring data. After studying this chapter you will be able to: Construct and interpret a dot plot, identify and compute measures of position, construct and analyze a box plot, compute and describe the coefficient of skewness, create and interpret a scatter diagram, develop and explain a contingency table.
Chapter 4 - Describing data: Displaying and exploring data. When you have completed this chapter, you will be able to: Develop and interpret a dot plot; develop and interpret a stem-and-leaf display; compute and understand quartiles, deciles, and percentiles; construct and interpret box plots; compute and understand the coefficient of skewness; draw and interpret a scatter diagram; construct and interpret a contingency table.
When you have completed this chapter, you will be able to: Construct and interpret a dot plot, identify and compute measures of position, construct and analyze a box plot, compute and describe the coefficient of skewness, create and interpret a scatter diagram, develop and explain a contingency table.
The major changes to this Fourth Edition include an earlier introduction to UML, a new
section on inter-file communication in Chapter 13, and a revised approach to software development
in Chapter 16.
Introducing the UML at the beginning allows the use of UML diagrams where they fit
naturally with topics in the text, so there are many new UML diagrams throughout the book.
The section on inter-file communication gathers together many concepts that were previously
scattered throughout the book.