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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-histogram-and-frequency-polygon/
课程评论：没有评论
## Coursera 课程总结：直方图与频率多边形入门 本课程旨在深入浅出地讲解直方图（Histograms）和频率多边形（Frequency Polygons）的绘制及应用。课程主要涵盖以下几个方面： **1. 直方图的绘制与应用：** * **处理不连续的类区间数据：** 课程将指导学员如何将植物叶片长度等不连续类区间的数据，通过适当调整绘制成直方图。 * **连续类区间数据的表示：** 重点讲解如何使用直方图表示氖灯寿命等连续类区间数据，并解答如何通过直方图判断特定寿命区间的灯泡数量。 **2. 频率多边形的绘制与应用：** * **与直方图的比较：** 探讨频率多边形作为直方图的替代或补充表示方式，以及它们在数据呈现上的独特性。 * **多组数据的比较：** 演示如何将分布在两个不同班级、按成绩分组的学生数据，绘制在同一张图上，生成两个频率多边形，以便进行直观比较。 **3. 数据分组与类限概念：** * **数据分组（Classes/Class-intervals）：** 讲解在大批量数据处理时，如何将数据进行分组（类或类区间），并定义了类的大小（Class-size/Class width）。 * **类限（Class Limits）：** 明确了每个分组的最小值为下限（Lower Class Limit），最大值为上限（Upper Class Limit）。 * **数据连续性要求：** 强调直方图绘制要求数据必须是连续的类区间，而频率多边形在数据连续性上则更为灵活。 通过本课程的学习，学员将能够熟练掌握直方图和频率多边形这两种重要的统计图表工具，并能有效地运用它们来分析和呈现各类数据。
1. If the length of some leaves of a plant is measured and the data is represented by a table having discontinuous class intervals, then how to draw a histogram for that data.2. Suppose we draw a histogram with the help of a table which is having data in the form of discontinuous class intervals. Whether there is any other suitable graphical representation for the same data.3. If the data in respect of lifetimes of some neon lamps is given in the form of a table, how to represent the information with the help of a histogram. How many lamps have a life time of more than specified hours?4. If a table shows distribution of students in two sections according to the marks obtained by them, then how to use that data to form two frequency polygons on the same graph.5. When the large amount of data is to be presented, we can condense the data in to groups and these groupings are called "classes" or "class-intervals" and their size is called the class-size or class width. In each of these groupings/classes, the least number is called the lower class limit and the greater number is called the upper class limit. In the case of histogram, the data has to be in the form of continuous class intervals. In the case of frequency polygon, it is not necessary for the data to be in continuous class intervals.
