Great work. This is one of the best explanations of a one sample t-tests I have seen. Also, it is one of the few videos which explains the "test value". Thank you!
Great Video ! But I believe there's one correction: Starting at 18.10 of the video: "95% of Samples drawn from this population, this interval will capture the true population mean" Whereas the correct interpretation should be: ""95% of Samples drawn from this population, this interval will capture the mean difference between True Population Mean & Sample Mean"
Best tutorial and thorough explanation I've seen so far. Very nicely explains what everything means, thumbs up!
Great work. This is one of the best explanations of a one sample t-tests I have seen. Also, it is one of the few videos which explains the "test value". Thank you!
What a fantastic tutorial. Please do more!
Thanks for being very thorough in your lesson. Very helpful.
Superbly knowledgeable teacher! Bravo!
Never seen such a good explanation
Too bad you no longer upload videos! Ive subbed to you anyway waiting for the time you resume making videos
What does it signifies if t value is negative
Great Video ! But I believe there's one correction:
Starting at 18.10 of the video:
"95% of Samples drawn from this population, this interval will capture the true population mean"
Whereas the correct interpretation should be:
""95% of Samples drawn from this population, this interval will capture the mean difference between True Population Mean & Sample Mean"
How can I test simple hypotheses (one independent and one dependent varable) in SPSS when data are collected in 5 point Likert Scale?
What if the t-value is a negative one? If you can kindly clarify, thank you! :)
what is data that can be used in one sample t test
thanks a lot. this was really helpful
Amazing. Very helpful, thank you.
thank you... so clear and helpful...
It`s very fantastic lesson thank you very much.
Worth interesting.
dear friends how to find out Mean difference .... my calculation Test value-Mean value ....please guide me . in excel also
14:00
Thanks it's a good explain
Great !!!! Keep it up :)
Thanks it's a good explain