Type 1 and Type 2 Error Analysis in Google Sheets

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在此免费的指导 项目中,您将:

Understand Type 1 and Type 2 errors and the importance of recognizing them to mitigate risk.

Develop a hypothesis and prepare data for testing in Google Sheets.

Conduct a t-test and interpret the test statistic in Google Sheets.

在面试中展现此实践经验

Clock2 hours
Beginner面向初学者
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

Data has the power to inform decision-making to move us toward our personal, professional, and organizational goals. However, there is a risk involved in data-driven decision making when we are not confident in the interpretation of analytical test findings. Gaining that confidence in the data we use for decision-making requires us to be able to recognize Type 1 and Type 2 analysis errors. In this project you will gain hands-on experience with the principles of developing a hypothesis, conducting a t-test, interpreting test results, and recognizing Type 1 and Type 2 errors. To do this you will work in the free-to-use spreadsheet software Google Sheets. By the end of this project, you will be able to recognize Type 1 and Type 2 errors to improve confidence using data for decision-making. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

必备条件

Some familiarity with hypothesis testing would be helpful, but is not required.

您要培养的技能

Validity (Statistics)Business AnalyticsResearch MethodologyBusiness IntelligenceInsight Mining

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Review Type 1 and Type 2 errors and how identifying them mitigates risk.

  2. Review the fundamentals of hypothesis testing and the process of interpreting results.

  3. Identify use cases for hypothesis testing.

  4. Access Google Sheets, import data, develop a hypothesis, and prepare data for testing.

  5. Conduct a t-test and interpret the test statistic.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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