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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.
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.
