Examples identifying Type I and Type II errors | AP Statistics | Khan Academy

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  • Опубликовано: 26 дек 2024

Комментарии • 9

  • @nuwemuhwezijoab6566
    @nuwemuhwezijoab6566 Год назад

    I love this example.

  • @user-xm5rw8lw7x
    @user-xm5rw8lw7x 3 года назад +1

    I finally get it, thank you!

  • @acevsknight6194
    @acevsknight6194 7 лет назад +1

    Great video as always!

  • @michellehoang1493
    @michellehoang1493 4 года назад +1

    thank you so so much!!!!!!!

  • @bjduncc
    @bjduncc 7 лет назад +6

    Thought this was gonna be about Type I and Type II Diabetes.

    • @not2tees
      @not2tees 7 лет назад

      A typical Type II error - is your blood sugar too high?

  • @MuhammadSoroya
    @MuhammadSoroya 6 лет назад +7

    only 4 comments, why such empty... I dont understand the logic of choosing Ho and Ha, if Ha is true they will build a cafe. So if we fail reject Ho, meaning the results are less than .40, (they should not build a cafe.) and in reality, its Ha (they consider building cafe.) wouldnt that give us C) They consider building new cafe. when they should not... fail to reject & Ha = Type2... why is the answer A?

    • @StyleTrick
      @StyleTrick 4 года назад +2

      Type 2 error is failing to reject the null hypothesis even though it is false. if Ho is false, it means the proportion interested is greater than 40%. Essentially, you accept that p = 0.40. if p is greater or equal to 0.40, YOU SHOULD build a new cafeteria. Since you reject this, you WON'T build a new cafeteria even though you SHOULD!

  • @rajvaswani7878
    @rajvaswani7878 4 года назад +4

    Easy way to remember type 1 and 2 errors:
    Type 1 includes explicit costs and is an error of commision (committing the wrongful)
    Type 2 includes implicit (opportunity) costs and is an error of ommision (not doing what was right)
    Type 1 errors are often more serious as they're explicit and thus more transparent. Often avoiding one error comes at the cost of committing another, weigh in which error matter the most in your scenario.