Of all the videos on interpreting an independent two-sample T-test, this one is the best on RUclips. Clear, concise and well delivered. Thank you so much :)
Thank you. I appreciate these short, to-the-point, videos. Often, these types of videos are too long and wordy, so we really appreciate these concise versions!
Great video! It may be more correct to say that there is a 95% probability that the confidence interval you calculated contains the true population mean though. Keep making great vids!
This is an awesome vid. I can follow all you explanations from start up until the first 4.00 mins, but I quite can't follow the remaining. Especially, where do the lower and upper scores come from? Please kindly explain.
If my equal variances assumed Sig is equal to 0.000, should I take into acount the further results, or does that mean that it's not significant at all? Because My Sig for the t-test is equal to 0.003, so it should be significant?
When the significance (sig) in the Leverne's Test column is greater than .05, you use equal variances, and when it's less than .05, you use not assumed.
You are totally correct, but by guiding viewers saying "accepting the null hypothesis" makes it so much easier to understand how to "fail to reject it". The latter example is inbued with two negations in one sentence, having me a bit confused when trying to sort stuff out. I think I will remember this for ever now.
Usually, 0.05 is used most of the time, especially if you are not researching something completely new. If you come up with a completely new theory and need to test it, and there are no other studies on it then you should probably go for 0.01 level of significance. I'm not entirely sure but this is what I remember from A level psychology haha
The sig .604 is for the Laverne's Test (which gives you direction as to whether you use the "equal variances assumed" or "equal variances not assumed" row), and the sig .405 is for the actual T-test within the "equal variances assumed" row. Laverne's Test sig tells you which of those two rows to use, and the t-test sig tells you whether or not to reject the null hypothesis.
you did not explain the t value? whats the purpose of showing t value? secondly plz tell how this table values can be tabulated in research work ? can we copy this table as it is? plz must reply. thank you its very helpful
hye. ok. the p value is 0.405 which is bigger than 0.05. so it is not significant. if not significant, we reject the null hypothesis right? im confused.
+Veena M no actually, we must say "we do not reject the null hypothesis" if pvalue greater, else if pvalue smaller then we must say "we reject the null hypothesis and accept the alternative hypothesis"
PLZ RESPOND URGENTLY. Hey Mr. Varshney, can you plz provide me yr email? I'm now getting more confused after reading the comments? I'll then inbox you. Thanks
That first sig of .527 (from the Laverne's Test) would tell you to use the "equal variances assumed" row, and then the .021 (from the t-test in the "equal variances assumed" row) would direct you to reject the null hypothesis. Deeper explanation: Laverne's Test creates is own null hypothesis aside from the "regular" one. Laverne's null hypothesis is that the variances for both valuables are the same. So, if the sig for Laverne is >.05, we would accept the null hypothesis that the variances are the same, which would direct us to use the "equal variances assumed" row. Once we get to that row, we slide down to the other sig, the one for the t-test. The null hypothesis of the t-test is that the means of both variables are the same. So, if the sig here is
@1:14 * Pretty sure you hypothesis should be a little something more like this, Let male = the true mean male competency score before starting their job. Let female = the true mean female competency score before starting their job. H0: male - female = 0 H(either 1or A): male - female 0 Let = 0.05
Just wanted to say you are incredibly awesome for making this video! Over a decade later and you're still impacting others. Thank you so much!
Of all the videos on interpreting an independent two-sample T-test, this one is the best on RUclips. Clear, concise and well delivered. Thank you so much :)
Thank you. I appreciate these short, to-the-point, videos. Often, these types of videos are too long and wordy, so we really appreciate these concise versions!
prob the best stats tutorial out here.
Thank heavens I found you, I was despairing of finishing a quantitative analysis assigment, but now I'm finally understanding...
I have watched some video about this, and I finally get to understand through your video. Thanks!
I just want to say that your videos are awesome! Thank you for uploading :)
Exactly, just to the point, and simple.
Thank You very much , your videos are great help to those struggling with their thesis statistics :D
2nd Year Psych Student here!
Great explanation thank you!
This video is amazing it stopped me from throwing my laptop at my teacher mid class
Clear, concise, straight. Thank you
Very clear and simple way to teach. Thank you very much sir!
Great video! It may be more correct to say that there is a 95% probability that the confidence interval you calculated contains the true population mean though.
Keep making great vids!
this was the shortes video on tt test but the most clear ffs thank you
Omg, you explained it way better than my professor. After watching his lecture I was confused and had to check RUclips university. Thank you so much
Extremely helpful! Thanks!
great explanation - thank you so much!
Thank you! What a great tutorial.. nice voice too
really great video. No drama.
This helped a lot. Thanks.
GREAT explanation, thank you so much!
you are so cool! thanks and keep doing videos; nice voice.
thanks so much you're a life saver!!!!
Excellent explanation - thank you
well explained, thanks a lot for the help.
This is an awesome vid. I can follow all you explanations from start up until the first 4.00 mins, but I quite can't follow the remaining. Especially, where do the lower and upper scores come from? Please kindly explain.
Thank you so much for this!
Do you have a video for how to read the output if equal variances are NOT assumed?
very helpful, thank you!
very helpful refresher, thank you
i could cry. thank u
If my equal variances assumed Sig is equal to 0.000, should I take into acount the further results, or does that mean that it's not significant at all? Because My Sig for the t-test is equal to 0.003, so it should be significant?
what if the size of the two groups to be compared is extremely different? (ex. group 1: n=200, group 2: n=60)
Thank you queen!
Thank you so much !!!
Which significance value we mention in interpretation
Sig or sig two tailed
Its really helpfull thanks dear
Thank you so much.
how do i download this video cause its been helpful
Good elaboration
God bless your soul
How do I identify what my initial significance value and significance level should be?
I love your voice
How, do you decide when to either use the p value for equal variances assumed or equal variances not assumed
When the significance (sig) in the Leverne's Test column is greater than .05, you use equal variances, and when it's less than .05, you use not assumed.
what do you do if the sig (pvalue) for the t-test is p
Reject the null hypothesis
thank you
what if there is 2 test variables? do we still need a hypothesis for each variable??
Pretty sure this video just saved my paper XD
Mine too.
ermm...one never "accepts" null hypothesis but "fails to reject" it.
You are totally correct, but by guiding viewers saying "accepting the null hypothesis" makes it so much easier to understand how to "fail to reject it". The latter example is inbued with two negations in one sentence, having me a bit confused when trying to sort stuff out. I think I will remember this for ever now.
At my uni we are taught “accept”. I’m first year so this might be an entry level way of putting it, doesn’t mean it’s wrong.
So where would you find the denominator of t-obtained?
So the "Sig (2-tailed)" is your p value?
hi, sorry dumb question but how to you choose your significance level?
Usually, 0.05 is used most of the time, especially if you are not researching something completely new. If you come up with a completely new theory and need to test it, and there are no other studies on it then you should probably go for 0.01 level of significance. I'm not entirely sure but this is what I remember from A level psychology haha
What is the difference between the Sig. of .604 and the Sig. 2-tailed of .405 ? Thanks
The sig .604 is for the Laverne's Test (which gives you direction as to whether you use the "equal variances assumed" or "equal variances not assumed" row), and the sig .405 is for the actual T-test within the "equal variances assumed" row. Laverne's Test sig tells you which of those two rows to use, and the t-test sig tells you whether or not to reject the null hypothesis.
Q. Your sample sizes are unequal, how can you read "equal variances assumed"?
The answer should be "fail to reject the null hypothesis"- this is misleading and confusing info...
I think the way you put it is more confusing tbh..
Not always the null hypothesis is failed
hy,hhow to interpret and what do you mean the mean and std deviation from the t test?
you did not explain the t value? whats the purpose of showing t value? secondly plz tell how this table values can be tabulated in research work ? can we copy this table as it is? plz must reply. thank you its very helpful
How do i get the analyze video
hye. ok. the p value is 0.405 which is bigger than 0.05. so it is not significant. if not significant, we reject the null hypothesis right? im confused.
+Amanina Zawani yeah me too.
If p value is greater than 0.05, accept the null hypothesis, if not, reject :/ think so
+Veena M no actually, we must say "we do not reject the null hypothesis" if pvalue greater, else if pvalue smaller then we must say "we reject the null hypothesis and accept the alternative hypothesis"
you do not accept the null hypothesis. you simply DON'T REJECT it. Model is insignificant to tell the dependancy!
very close, but you "fail to reject the null hypothesis"
PLZ RESPOND URGENTLY.
Hey Mr. Varshney, can you plz provide me yr email? I'm now getting more confused after reading the comments? I'll then inbox you. Thanks
WE NEVER ACCEPT THE NULL.
WE JUST REJECT OR FAIL TO REJECT, WHICH MEANS, THAT WE DON'T KNOW!!!
You should not accept the null hypothesis, rather, "you fail to reject it"
not clear
So what happens if your Sig. is for example .527 but you Sig. (2-tailed) is .021 and .024 with alpha=.05?
That first sig of .527 (from the Laverne's Test) would tell you to use the "equal variances assumed" row, and then the .021 (from the t-test in the "equal variances assumed" row) would direct you to reject the null hypothesis.
Deeper explanation:
Laverne's Test creates is own null hypothesis aside from the "regular" one. Laverne's null hypothesis is that the variances for both valuables are the same. So, if the sig for Laverne is >.05, we would accept the null hypothesis that the variances are the same, which would direct us to use the "equal variances assumed" row.
Once we get to that row, we slide down to the other sig, the one for the t-test. The null hypothesis of the t-test is that the means of both variables are the same. So, if the sig here is
@1:14
* Pretty sure you hypothesis should be a little something more like this,
Let male = the true mean male competency score before starting their job.
Let female = the true mean female competency score before starting their job.
H0: male - female = 0
H(either 1or A): male - female 0
Let = 0.05
THX FOR NOTHING
thanks! this is helpful!
Thank you so much.