Type 1 and Type 2 Error Analysis in Google Sheets

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In diesem Kostenloses angeleitetes Projekt werden Sie:

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.

Präsentieren Sie diese praktische Erfahrung in einem Vorstellungsgespräch

Clock2 hours
BeginnerEinsteigerfreundlich
CloudKein Download erforderlich
VideoVideo auf geteiltem Bildschirm
Comment DotsEnglisch
LaptopNur Desktop

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.

Anforderungen

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

Kompetenzen, die Sie erwerben werden

Validity (Statistics)Business AnalyticsResearch MethodologyBusiness IntelligenceInsight Mining

Schritt für Schritt lernen

In einem Video, das auf einer Hälfte Ihres Arbeitsbereichs abgespielt wird, führt Sie Ihr Dozent durch diese Schritte:

  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.

Ablauf angeleiteter Projekte

Ihr Arbeitsbereich ist ein Cloud-Desktop direkt in Ihrem Browser, kein Download erforderlich

Ihr Dozent leitet Sie in einem Video mit geteiltem Bildschirm Schritt für Schritt an.

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