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please i have a question, so assuming you are working on a real world problem that has the properties of a normal distribution, how'd you know the function to use (i.e f(x) ), would it be given, generated or it wouldn't be needed in such a scenario
Thank you for this video Abefe 1. To clarify, for dependent samples does it mean the samples have to be of equal sizes? Also i think there is a mistake from the screen pop up for alternative hypothesis, it is denoting it as H0 2. You said independent t-test is used when you can't satisfy the normal distribution but then again it is a parametric test(which are used for normal distribution) , can you help me clarify this
To answer your first question. It is a paired sample test, emphasis on “paired” meaning that have to be the same size. Thanks for pointing out the error by the way. For your second question, some distributions can be so similar to the normal distribution and this is where the t distribution comes into the picture. A non parametric test is in no way similar to a normal distribution
Hi brother Abefe, I am delighted to follow your teachings, and I appreciate the way you make the most complex concepts much more understandable. I would like to establish a personal contact with you.
You have really improved Boss!! Your video is kul. Infact I love everything here. Your clearity is certain here. Please keep it sir. God is your strength!!
Thank you very much. In your parameter estimates, the carbody=convertible role, Exp B was 128984018.7 same with the confidence intervals....what does that mean?
Plss sir do you have video for normal distribution?. I'm enjoying your video sir. It very practical sir. May Allah continue to give you the grace to continue sir.
You can check this out CONTINOUS PROBABILITY DISTRIBUTIONS AND IT TYPES (Normal distribution, exponential distribution) ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-0Lcky43gNug.html
I don’t think this is something that can be taught. You just have to put in the energy to engage in public conversation like Twitter space (this is a good place to start) and then you can move onto proper public soeaking
Wow!! This is the best video I've seen so far on analyzing a dataset on Excel. You made this easy to digest for a beginner like myself. Thank you Mr Abefe.
There is no connection between peak and tails. You can have infinitely peaked distributions with very light tails, and you can have low, flat-topped distributions with very high kurtosis. Examples of these distributions are given in the Wikipedia page.
Thank you for this video Abefe, it was awesome. Please can I know the name of this Excel you are using? I can’t find the data analysis, descriptive statistics, and box plot on my Microsoft 365 (Office).
Data analysis has nothing to do with coding sir. In fact, I can assure you that you might not even write a single line of code all through your data career, You might end up using the likes of excel and power BI
