I'm conducting a research project right now, and have never taken a stats class, and I was able to use this program and get all the information that I needed - thanks to you and this video! Thank you, and keep up the good work!
This is a great example and so very helpful to students. Thank you for providing these on RUclips! What a wonderful resource. I do have a question about something I think might be wrong in this one, though. Isn't the alternate hypothesis mis-stated? What if only one group differs from the other two, with the second and third group not differing from each other (similar to the the case in the actual data provided)? That wouldn't be covered under either the null or the alternate as stated. Shouldn't the alternate simply be that not all the populations means are equal, rather than that they all differ from each other?
Yep! You are 100% correct. As you stated, the alternative hypothesis is any one way ANOVA is that the groups are NOT all equal (or there are some differences among the groups). The null is therefore that they are all equal. This is indeed a mistake in which I mispoke while filming and didn't notice. Thanks for the positive feedback and critical eye. =) ~Michael
great video, I just have one question, why is it called a one way between subject ANOVA and not an independent one way anova? or are these the same thing. Cause everyone I talk to keeps calling it a Between subjects Anova, as often I associate the word Between subjects to the repeated measures ANOVA
In your example, each group has 6 people in it. Does it make a different if the size of the groups are different? Also, why would yo not do Tukey post hoc test?
I was literally stressing so much before I saw this, thank you!
I'm conducting a research project right now, and have never taken a stats class, and I was able to use this program and get all the information that I needed - thanks to you and this video! Thank you, and keep up the good work!
Yo, this was beyond helpful man thank you!
Your videos are awesome! Very clear and helpful!! Thank you, you are a great teacher!!
You are the best, thank you so much.
Thank you this was very easy to understand !
what does 'the control' label mean?
This is a great example and so very helpful to students. Thank you for providing these on RUclips! What a wonderful resource.
I do have a question about something I think might be wrong in this one, though. Isn't the alternate hypothesis mis-stated? What if only one group differs from the other two, with the second and third group not differing from each other (similar to the the case in the actual data provided)? That wouldn't be covered under either the null or the alternate as stated. Shouldn't the alternate simply be that not all the populations means are equal, rather than that they all differ from each other?
Yep! You are 100% correct. As you stated, the alternative hypothesis is any one way ANOVA is that the groups are NOT all equal (or there are some differences among the groups). The null is therefore that they are all equal.
This is indeed a mistake in which I mispoke while filming and didn't notice.
Thanks for the positive feedback and critical eye. =)
~Michael
bernstmj Hope I was helpful! I love your SPSS videos and recommend them to students often!
Can someone explain why the alternative hypothesis looks like that? I thought it was supposed to be stated as "Not all M's are equal"
great video, I just have one question, why is it called a one way between subject ANOVA and not an independent one way anova? or are these the same thing. Cause everyone I talk to keeps calling it a Between subjects Anova, as often I associate the word Between subjects to the repeated measures ANOVA
Iron Mustachio all good the word independent and between subjects for an ANOVA are the same thing, just worded differently
In your example, each group has 6 people in it. Does it make a different if the size of the groups are different? Also, why would yo not do Tukey post hoc test?