R demo | One Sample T-Test & One Sample Wilcoxon Test | How to conduct, visualize and interpret

One-sample tests compare your results to the results of others. So, in this video we’ll learn how to conduct, visualize and interpret One Sample T-Test & Wilcoxon Test.
Quick R here:
gghistostats(
data = my_to_dos, # as_tibble or as data frame with "value" column
x = value,
test.value = 6, # default value is 0
type = "parametric",
normal.curve = T
)
If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests.
Enjoy! 🥳

[@WilOspinoC]

I simply love the labor you are doing! Thank you for making the world a better place Yuri ❤

[@yuzaR-Data-Science]

Thanks for such a nice feedback! 🙏 and thanks for watching, Wil! I’ll try to make more useful content.

[@migi7787]

GREAT PRESENTATION, THANK YOU

[@yuzaR-Data-Science]

Glad you enjoyed it, Mi Gi!

[@hikeaway1596]

👍🙏

[@yuzaR-Data-Science]

thanks for watching!

[@amosarubi8468]

Thanks a million

[@yuzaR-Data-Science]

You are welcome!

[@AngelFelizF]

Thanks

[@yuzaR-Data-Science]

You are welcome!