T test and ANOVA Explained

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  • Опубликовано: 15 июл 2024
  • T-test and ANOVA are biostatistical methods that are commonly employed in research. This presentation is a quick summary of t-test and ANOVA, and is intended for the non-statistician.
    Learn more about other common biostatistical methods in our blog: www.raybiotech.com/learning-c...
    Background music: www.bensound.com (Cute)
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Комментарии • 13

  • @Sobchak2
    @Sobchak2 Год назад +6

    One of the clearest explanations on this subject, well done!

  • @Matt_Stark
    @Matt_Stark 8 месяцев назад +2

    Fantastic video. Well organized and explained.

  • @yar_muneeb
    @yar_muneeb 2 месяца назад

    Clear Explanation

  • @dinahlachama7808
    @dinahlachama7808 11 месяцев назад +2

    Thank you so much for this!

    • @RayBiotech
      @RayBiotech  11 месяцев назад

      Happy you liked it :)

  • @mobeenshaik9164
    @mobeenshaik9164 11 месяцев назад +1

    Nice

  • @uybungcojandericks.6225
    @uybungcojandericks.6225 2 года назад +3

    complicated

  • @MrFunkyWarrior
    @MrFunkyWarrior Год назад

    You cannot confirm a null hypothesis

  • @HenryMarsden-bx6ml
    @HenryMarsden-bx6ml 9 месяцев назад

    Frequency of what...?

    • @RayBiotech
      @RayBiotech  9 месяцев назад

      The frequency depends on your experiment. For us, it's protein expression levels.

  • @vaibhav_uk
    @vaibhav_uk Год назад +4

    I THINK U NEED TO REVIEW YOUR P-VALUE DEFINITION

    • @alecambo
      @alecambo Год назад +4

      In think YOU are the one who needs to review the p-value definition

    • @andrewkobasko1672
      @andrewkobasko1672 Год назад

      @@alecambo well said