I am very impressed on how you are able to explain a complicated matter and simplified it for me. I have managed to compute my assignment that was so hard for me following your explanation. Be blessed.
Hello would u plz help me to calculate p value for the work of my thesis I really watched your video several times but i couldn't manage to calculate it at my own
Clarifications please: On both the Paired and Unpaired t-test, we are doing a 95% Confidence Level which leaves us with 0.05 to be divided by two and distributed in the two tails as our Critical Value and Rejection Region to the right of the Critical Value. First t-test, the paired t-test yields a P-Value of Positive (+) 0.029 in the Right Tail, and Negative (-) 0.029 in the Left Tail. This gives us a comparison of Alpha < P-Value or 0.025 < 0.029. Because this P-Value falls to the right of the Critical Value (into the Rejection Region), it is considered significant and we must reject the Null (Mu1 = Mu2). Second t-test, the Unpaired t-test yields a P-Value = +0.024 in the Right Tail and -0.024 in the Left Tail. In this second t-test we have the following: Alpha > P-Value: Right Tail: 0.025 > 0.024. This P-Value is NOT Significant. It does NOT fall in the Rejection Region. Therefore, we FAIL TO REJECT THE NULL at the 95% Confidence Level. Left Tail: -0.05 > -0.024. The P-Value is NOT significant. It does NOT fall in the Rejection Region. We, therefore, FAIL TO REJECT THE NULL. CLARIFICATION: As it relates to the second Unpaired t-test, I heard you said it is significant, meaning that we must reject the NULLL. Please update.
You cannot use t test in that case , t test is use to compare only two group , first of all you have to make your data into two group and then you can use t test according to the requirement.
