This is one of those videos that can summarize hours and hours of dull lectures in a concise, clear manner and in a short time. Thank you.

@edifo

2 жыл бұрын

Glad it was helpful!

@salvage2013

Жыл бұрын

This is clear.

@krishnendu008

Жыл бұрын

Exactly

Thank you for your helpful explanation and plentiful examples. I especially appreciate the way you presented easy to understand examples of difficult terms.

@edifo

3 жыл бұрын

Glad it was helpful! Most Welcome....

Thank you for this, I was struggling to find an explanation that was simple and didn't require me to already know what all the different types of tests are and such. I just wanted a simple comparison, and this was perfect.

@edifo

Жыл бұрын

Glad it helped!

A short video without leading into any confusion in spite of being premium member I'm patiently watching complete ads on your channel in incognito support you. way more videos on statistics Thank you

@edifo

10 ай бұрын

Thanks for that!

Brilliant explanation, thank you!

@edifo

3 жыл бұрын

Glad it was helpful! Keep watching, Keep learning...

Great and meaningful lecture. kudos

@edifo

2 ай бұрын

Thank you

Great video, analytical review of the subject in details that made it easy to understand

@edifo

11 ай бұрын

Glad it was helpful!

Thank you for this. it is well- explained. This confirmed some of my unsure thoughts on inferential statistics , specifically on the parametric and nonparametric tests.

@edifo

3 жыл бұрын

Glad it was helpful! Keep watching... Keep learning....

Useful video, thanks

@edifo

Ай бұрын

Glad it was helpful!

Thank you for sharing your expertise about statistical tools

@edifo

Жыл бұрын

Glad it was helpful!

Thanks a lot!

@edifo

2 жыл бұрын

You're welcome!

well summarized and easy to understand lecture

@edifo

8 ай бұрын

Thank You..

Great..and what a wonderful voice...

@edifo

Жыл бұрын

Thank you

Thank you so much we need more videos related to research 🙏

@edifo

11 ай бұрын

We will

concise and easy to digest

@edifo

Жыл бұрын

Thank you Very Much...

I wish you would make another video about what statistical tests are appropriate for various sample researches.

@edifo

3 жыл бұрын

Sure....

wonderfully explained sir. pls make more videos on stats.

@edifo

3 жыл бұрын

Sure I will. Keep Watching

Sir.... In my dissertation can i use Likert scale, pie charts and Frequency( in my one single research Paper) without including hypothesis?

@edifo

3 жыл бұрын

Of course you can. But my suggestion is that try to use hypothesis, they it will increase the quality of your work.

Very gainful. Thk u so much

@edifo

2 жыл бұрын

Thank you... Keep watching.

If one assumptions fulfill second not can we do anova test . E.g data are not normally distributed but there is homogeneity of variance groups

@edifo

3 жыл бұрын

Normality of data is a prerequisite for parametric tests

Thank you sir

@edifo

Жыл бұрын

Welcome

it was a very nice explanation. but isint it that Wilcoxon rank sum test is the same as Mann Whitney U test???

@edifo

2 жыл бұрын

The Mann-Whitney U is the nonparametric alternative to the Independent t-test. The Wilcoxon signed rank test is a nonparametric test that compares a group of numbers' medians to a hypothetical median. This test is mathematically equivalent to a Mann-Whitney U-test.

Thank you so much Sir, please how about Kolmogorov-smirnov test? It is so popular too.

@edifo

3 жыл бұрын

Keep Learning.....

Nice video. Thank you

@edifo

2 жыл бұрын

Thank you too

Also discuss on what is considered in deciding on what specific parametric test to be applied by the researcher

@edifo

Ай бұрын

Sure.

Thank you💛

@edifo

3 жыл бұрын

You’re welcome 😊

Hello It is very helpful video. I would like to clarify this idea. I think the counterpart of Independent sample t-test is Mann-Whitney U test.

@edifo

2 жыл бұрын

For normally distributed data, the independent t test can be used, and for non-normally distributed data, the Mann-Whitney U test can be used.

Thank you so much

@edifo

3 жыл бұрын

You're most welcome

It is good lecture

@edifo

Жыл бұрын

Thank you..

Really good

@edifo

3 жыл бұрын

Glad you think so!

Excellent explantion

@edifo

3 жыл бұрын

Glad it was helpful!

Honestly, I have learned a lot from this video, thanks a lot. But I have seen some researchers applying One-way ANOVA for data that's clearly ordinal... e.g. a Likert Scale data. Please, can u help with some explanation whether there are situations for that? Thank u.

@edifo

3 жыл бұрын

Likert scale is purely ordinal data. If you use Likert scale for a measuring a construct, you can treat it as scale data.

@funnyclips2696

3 жыл бұрын

@@edifo U mean the Likert Scale can be used as interval/ratio scale as well? Wonderful...!

@edifo

3 жыл бұрын

@@funnyclips2696 For a construct you can use Likert scale as scale data.

Hi As said that parametric test can be used when our data is normally distributed and non parametric when not normally distributed Also ratio and interval data parametric test applies snd for qualitative non parametric So what if my quantitative data that is ratio or interval is not normally distributed then cant we apply non parametric test as it is only applicable to qualitative data

@edifo

Жыл бұрын

You can apply Non-Parametric.

@nasrullahturke4480

Жыл бұрын

​@@edifoI still have lots going through my mind. Please if you throw some light on my queries 1. Do we consider nominal ordinal and interval scale as discrete and ratio as continuous 2. If we consider above three scale as discrete than does discrete probability distribution applies all three scale nominal ordinal and interval Or does it apply only to interval 3. Do we look for normality for nominal ordinal and interval data as well Or is it only for ratio scale Then I am assuming in that case we apply only non parametric test to all three scale And parametric and non parametric to ratio based on the normality 4. Also assumption is made only for the population or also for sampling distribution I know it's a long list. It would be very kind of you if you can answer my queries please

@edifo

Жыл бұрын

Please Watch this video, which explains about Data Types. kzread.info/dash/bejne/faJ2y81pqdbckcY.html

Thanks

@edifo

2 жыл бұрын

Welcome

Before applying anova we assume normality of data its homogenity of varriance we should not check

@edifo

3 жыл бұрын

Normality and Homogeneity need to be checked for ANOVA

Good explanation

@edifo

2 жыл бұрын

Thanks and welcome... Keep Watching....

Brilliant

@edifo

3 жыл бұрын

Thank you Keep watching... Keep learning ....

Super voice sir

@edifo

2 жыл бұрын

Thank you... Keep learning Keep watching..

🙏🙏

@edifo

3 жыл бұрын

Keep watching...

How we check population is normally distributed

@mufazilali9294

3 жыл бұрын

In excel

@edifo

3 жыл бұрын

In excel you can check the normality of distribution. Its a procedure. Normally NORDIST function is used for this.

@edifo

3 жыл бұрын

It is better to use SPSS for this. Because the procedure is very easy.

@mufazilali9294

3 жыл бұрын

@@edifo i dnt have spss .i use excel sir

@edifo

3 жыл бұрын

@@mufazilali9294 No Problem, you can use excel for checking normality.

👍🙏

@edifo

3 жыл бұрын

🙏

Thank you very much sir

@edifo

3 жыл бұрын

Most welcome