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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-statistics/
课程评论：没有评论
课程名称：统计学入门 课程概述：该课程于2019年11月推出，旨在帮助学生轻松有效地分析和解读与基础统计学相关的数据。课程内容包括以下主题： 1. 测量尺度：介绍名义、顺序、间隔和比例尺度。目标：深入理解统计学文本中经常混淆的测量尺度。 2. 均值：讲解均值、中位数和众数，通过实际问题练习，同时解释集中趋势与偏态分布的关系，并教会如何计算加权均值。目标：概括数据集，找到分数分布的中心位置，理解并识别偏态分布中集中趋势的测量位置，学会如何找到两组不同数据的整体均值。 3. 变异性：提供标准差和方差的计算方法，简单明了地解释百分位数。目标：理解和解释一组数字的变异性，包括如何对数据进行排名和解读，例如标准化测试分数（如第95百分位数）。 4. 图表与图形：讲解如何计算累积频率分布表以及如何制作茎叶图。目标：学会如何轻松组织、总结、理解和解释一组数字。 5. 概率、正态曲线和z分数：介绍概率的基本概念，正态分布的特性，以及如何计算和解释z分数。目标：理解初步概率，包括正态（高斯）分布的重要特征，以及如何计算和解释z分数。 附加特点：通过多项测验和完整视频解答机会来巩固学习理解。更新内容：新增关于假设检验和相关性的课程视频（见课程第6和第7部分）。 此课程为学习统计学基础知识提供了良好的平台，适合对数据分析和解释感兴趣的初学者。
November, 2019In the course, you will learn how to easily and effectively analyze and interpret data involving introductory statistics. The following topics are covered in this course:Scales of measurement - nominal, ordinal, interval, ratio. Goal/Learning Objective: Easily understand the often-confused scales of measurement covered in most statistics texts.Central Tendency - mean, median, and mode are illustrated along with practice problems; measures of central tendency and skewed distributions are explained, as well as how to calculate the weighted mean. Goals/Learning Objectives: Summarize a set of data, find the center location in a distribution of scores, understand and identify the location of measures of central tendency in skewed distributions, understand and interpret how to find the overall or combined mean for two different sets of data.Variability - How to calculate the standard deviation and variance as well as how to interpret percentiles are provided in simple and clear language. Goals/Learning Objectives: Understand and explain variability (spread) in a set of numbers, including how to rank data and interpret data such as standardized test scores (for example, the 95th percentile).Charts and Graphs - How to calculate a cumulative frequency distribution table as well as how to calculate a stem and leaf plot is illustrated. Goals/Learning Objectives: Learn how to easily organize, summarize, understand, and explain a set of numbers.Probability, the Normal Curve and z-Scores - An introduction to probability is provided, along with properties of the normal distribution and how to calculate and interpret z-scoresGoals/Learning Objectives: Understand beginning probability including important characteristics of the normal (Gaussian) distribution, as well as how to calculate and interpret z-scores.Bonus Features: Cement understanding with practice opportunities including several quizzes with complete video coverage of the solutions. Update: New Videos Added on Hypothesis Testing and on Correlation! (See Sections 6 and 7 of the Course.)
