Glad you found it helpful. 👍

Thanks! Glad you liked it.

Thank you exhibiting the interest!

Hello Mukul, thanks for the kind words. I am happy the content is useful to you. I try uploading as much possible in the time available. Since there are other channel-based and training activities that engage my time it is some time a challenge to release on schedule. The content gets created early on. However, I handle the entire production as well. But, yes the attempt and goal is to be as much regular as possible. More videos are on the anvil.

It spawns from the basic working equation of Kurtosis for normal distribution. The value of 3 is actually the value of Kurtosis for normal distribution. We, often erroneously, use the value of Kurtosis for normal distribution as '0'. However, it is the excess kurtosis. There is an extensive mathematical derivation that follows to explain the above.

You are welcome. Thank you.

👍

Thanks, will do!

Sure! Thank you for the suggestion!!

Actually, could not understand your question. The data on marks is used as an example to explain usage of Median versus Arithmetic Mean.

Thanks!

Thanks!

👍

Glad it was useful!

Thank you!

Appreciate it. Glad you liked the content and find it useful!!

Glad you liked it!

Thank you. I may have to create another channel for it. Thanks for the suggestion.

😀that was punny!! Thank you. Glad you found it useful!

Yes. Planned for future videos. T-test is already covered. The others are part of hypothesis tests. The first one in the series is already released.

Thanks. Appreciate the feedback. Also, have you checked the option in KZbin to slow down the video speed. This could help you with the audio issue.

Thank you. Do share and subscribe. It help the channel.

Thanks. I feel good to know that the information was useful to you.

Sujata, Part 2 is ready and waiting to be processed for upload. It should be available soon.

Sujata, Part II is now released.

Identifying Mode of data, understanding distribution of the data using histogram or for understanding preferences (product, taste, flavour etc.). Additionally, please lookup the video tutorials on probability distribution.

Thanks. Do share with your friends and acquaintances!

Glad you liked it! Do help the channel to reach out to others as well! Thanks once again!

Appreciate that you found the video useful!!

Thank you. Do subscribe to the channel and share the videos for better reach with others.

Can you please specify what exactly on Bayes?

Thank you. More are getting added.

Thanks. Glad it was helpful!

The present case itself is a real-life case. You may need to extend the thinking related to the concept on similar lines as described in the case.

It is not a case of cost of computing power. It is whether one wants to invest extra time in computation. Instead, using visualization and SD can provide an enriched outcome. For kurtosis, it depends from case-to-case.

Thanks. More are on the way.

Thanks for the feedback. However, post checking on other independent devices, I could not notice the same issue.

Thanks for the suggestion.

Most welcome!

Thanks! Hope it was useful.

Thanks

Wow, thanks! Offline sessions are already functional.

Wow, thank you! Truly appreciate your support!! Part II is WIP and will be on the channel soon. Keep watching the space.

Great! Glad to know the video was useful.

Part II is released.

Mukul, thanks for your support! Yes, sure!

Thank you

It is the squared distance when considered from origin as '0' (zero). Since the denominator is the same, it does not matter for the comparison. This was done only to simply and exemplify the point on shift of origin. The figures are correct. In fact when you move ahead in the tutorial you will notice the 2nd moment was also calculated using shift of origin to get 2.5 and 0 (zero) respectively for both cases. Hope this clarifies!

Thank you. Glad you find the tutorials useful. Pleasure is all mine!