我的部落格
negatively skewed distributio is frequen more fall inside right bins.
example:the mileage of a car in years
1.have one peak named mode
2.appoximately shape symetrical
3.most scores fall in the middle interval
example : the price of the cars
1.age chart is continuous,continets is not
2.bin size attribute is diff
课程的3.2-3.4主要内容：
3.2 以考试和考试前的准备为例，引出调查方法：
3.3 探如何测量记忆力：
背诵单词数目？最强大脑那些？或者是智商。这个是开放的回答，没有标准答案。
3.4 标题是定义结构
在接头采访行人，如何定义幸福、如何测量幸福、如何定义记忆力、如何测量痒的程度、如何测量人感受到压力？
我觉得有几个人回答的很好：可以用笑的次数测量幸福，用抓痒的次数来定义痒的程度，用血压的高低来测量人感受的压力。
很荣幸，能入选贝塔斯曼数据分析奖学金计划，琐事较多，直到今天才开始正式的学习，感谢Udacity和贝塔斯曼的支持。
第一篇，课程介绍：
CORE CONTENT: Descriptive Statistics
The next set of lessons cover descriptive statistics and is the CORE CONTENT in this challenge course. You are expected to work through this content well within your 3 month timeline.
Don’t forget, your performance in the course, in addition to your participation in the forums and Slack community will be factors that contribute to the selection of the top students who will be given scholarships to the Data Foundations, Data Analyst, or Business Analyst Nanodegree programs!
核心内容：描述性统计
下一组课程涵盖描述性统计，是本次挑战课程的核心内容。你希望在3个月的时间内完成这个内容。
别忘了，你在课程中的表现，除了你参加论坛和懒散社区之外，还有助于选拔那些将给奖学金基金会、数据分析员或商业分析员纳米学位课程的奖学金的优秀学生。
Key Concepts
This course will teach you the basic terms and concepts in statistics as well as guide you through introductory probability.
You will learn how to….
- Use statistical research methods.
- Compute and interpret values like: Mean, Median, Mode, Sample, Population, and Standard Deviation.
- Compute simple probabilities.
- Explore data through the use of bar graphs, histograms, box plots, and other common visualizations.
- Investigate distributions and understand a distributions properties.
- Manipulate distributions to make probabilistic predictions on data.
关键概念
本课程将教你统计学中的基本术语和概念，并指导你介绍概率。
你将学会如何…
采用统计研究方法。
计算和解释值：均值、中值、模式、样本、人口和标准偏差。
计算简单概率。
通过使用条形图、直方图、方框图和其他常见的可视化来探索数据。
研究分布和理解分布特性。
操纵分布以对数据进行概率预测。