Design Evaluation: Statistical Tools for Assessing Your Design Quality

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  • เผยแพร่เมื่อ 19 ก.ย. 2024

ความคิดเห็น • 5

  • @ahmedabdulrazzaq1159
    @ahmedabdulrazzaq1159 ปีที่แล้ว +1

    Hello sir... Thank you for your great video.

  • @tafadzwankhoma1533
    @tafadzwankhoma1533 ปีที่แล้ว

    Thank you for the great video.
    What is the significance, if any, of the standard mean error in design evaluation?

    • @StatisticsMadeEasybyStatEase
      @StatisticsMadeEasybyStatEase  ปีที่แล้ว

      I'm not sure exactly which statistic you are referring to, but any standard error is an estimate of variation for that statistic.

    • @tafadzwankhoma1533
      @tafadzwankhoma1533 ปีที่แล้ว

      @@StatisticsMadeEasybyStatEase I meant
      the one below FDS value at 51:34

    • @StatisticsMadeEasybyStatEase
      @StatisticsMadeEasybyStatEase  ปีที่แล้ว +1

      @@tafadzwankhoma1533 That is the calculated standard error after the experimenter inputs their "d" and "s". Continuing forward to 52:21, Martin is demonstrating changing these values, thus changing the signal/noise ratio. The blue horizontal line is the calculated value (the standard error). The values should be your desired precision, relative to the normal process variation. Refer to this video for more discussion: th-cam.com/video/uY7OqM9awxE/w-d-xo.html