POWER in Statistics EXPLAINED

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  • Опубликовано: 22 авг 2024

Комментарии • 8

  • @brady8437
    @brady8437 Год назад +2

    Thank you so much!! this always confused me. I thought Power was bad because you don't wnat to reject when null hypothesis was true, but I guess it also means a more accurate testing since higher sample size = more accurate

  • @EA-dv5kt
    @EA-dv5kt 3 месяца назад +1

    aaah im studying for my ap test in a week!!!

  • @rahularora2936
    @rahularora2936 Год назад

    thank you

  • @ddozzi
    @ddozzi 3 месяца назад

    can this power idea be applied when the null hypothesis is true instead of the alternate?

  • @siddhj267
    @siddhj267 8 месяцев назад

    mr.porinchak got me back here 3 days before my stats final in my second year of college

    • @mporinchak
      @mporinchak  8 месяцев назад

      I am sad it too you this long to come back to me! Miss you and good luck!

    • @siddhj267
      @siddhj267 8 месяцев назад

      got an A , all cause of you