Live Day 2- Basic To Intermediate Statistics 

5:45 Arithmetic mean for Population & Sample 11:00 Central Tendency 13:28 effect of outliers in mean 15:30 Median 21:45 Mode 29:20 Measures of Dispersion 31:20 Variance 42:00 Standard Deviation 44:40 Importance of STD and Var 46:50 Percentile 1:04:20 Five number summary

Sir till now I used to draw the box plot but still have no idea. How this box plot was actually made but after this I exactly understand how to make the box plot. Thank you so much for these amazing classes.

Awesome Krish!!!!!!!!!!!!!! No teacher is comparable to you ! Excellent style of teaching and great service

Amazing method of teaching Krish clearly getting all the things. Thank's a lot for these videos.

Hi Krish, You are doing amazing work. Thanks for these videos. You are great.

i saw this session now is was so good after completed my R programming im here to learn such the best man and best explanation of the all the stuffs....... good work man Krish Naik

Can't thank you enough for this playlist. Your teaching style is really amazing. I've watched this video nearly 6 months ago, watching this from yesterday.

Just a request plz complete your SQL playlist as well so that learners can be in regular practice

Excellent lecture! I thoroughly enjoyed Day 2 and am looking forward to Day 3

Krish Sir u r Awesome and Genious.... Thanks for ur efforts for making us expert and getting depth knowledge in Stats..

Videos made very simple to understand. Thank you so much . Beautiful clear handwriting with examples easy to follow

You are best of all! doing great job!

Awesome video, please continue your good work.

I used box plots before and was always struggling to explain it to my users.. now I think I can explain it to anyone!

sir, u are best i read many books and watched many tutorials for boxplot,but no one made me understand.But,you made it in 3 min

Awesome. Thank you!

🎯 Key Takeaways for quick navigation: 02:18 📊 Mean, median, and mode are measures of central tendency used to find the center of a data distribution. 12:19 📏 Median is robust against outliers and is suitable for datasets with extreme values. 19:56 📈 Mode is useful for categorical variables and finding the most frequent element in a dataset. 26:21 📚 The choice between mean, median, or mode depends on the specific dataset and domain knowledge, considering factors like outliers and data type. 29:25 📉 Variance and standard deviation are measures of dispersion used to quantify the spread or variability of data points within a distribution. 52:11 📊 Percentiles are values below which a certain percentage of observations lie. 53:07 📈 To calculate the percentile rank of a value, use the formula: (Number of values below x / Total sample size) * 100. 55:07 🧮 To find the percentile ranking of a value, use the formula: Value = (Percentile / 100) * (n + 1). 57:54 🧾 For example, the 25th percentile value in a dataset of 21 elements can be calculated as (25 / 100) * (21 + 1) = 5.25, which corresponds to the 5th element. 01:00:12 🖋️ Pay attention to index positions when finding percentile values in data sets. 01:02:15 📊 The 75th percentile is calculated as 75 divided by 100 multiplied by the number of data points, and it helps identify a specific data point in a dataset. 01:05:25 📉 The process of removing outliers from a dataset involves defining a lower fence and an upper fence based on the interquartile range (IQR). 01:08:08 🧮 The interquartile range (IQR) is computed as the difference between the 75th percentile (Q3) and the 25th percentile (Q1) and is used to identify outliers. 01:17:39 📊 Box plots provide a visual representation of the five-number summary, including the minimum, Q1, median, Q3, and maximum values, helping identify outliers. 01:20:19 📚 The video covers various statistical concepts, including variance and the formula for sample variance, as part of a comprehensive data science course. Made with HARPA AI

very nice! good refresher!

After watching all statistics 7-day live sessions and now I have got so much confidence in stats, and I am very sure that I could learn data science subject. The way you teach is very clear and absolutely very easy to understand which I didn't find in my university. A Big Thanks to you Krish Naik ji for your great effort to help me and many students with your knowledge to shine their future and it is much appreciated. 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏

super explanantion and unique way of teaching-: thank you for your classes👌👌👌

First time i understand the logic behind box plot .......thnk u sirji 👍👍👍👍 u are doing really good work sir ..

loved the series sir. Making notes too along the way.

Thank you sir , you are simply the best.

Thank you for this amazing playlist krish

1:18....box plot k concept bahut achche se samjhaya...abhi tak course is brilliant

on 38:00 he was wrong here is the answer according to google bard The image you sent shows two normal distributions. The distribution on the top has a higher variance than the distribution on the bottom. This is because the distribution on the top is wider and more spread out than the distribution on the bottom. Variance is a measure of how spread out a distribution is. It is the average squared distance of all data points from the mean of the distribution. A higher variance means that the data points are further away from the mean, on average. In the image, the distribution on the top has a wider spread of data points than the distribution on the bottom. This means that the data points in the left distribution are further away from the mean, on average, than the data points in the right distribution. Therefore, the distribution on the top has a higher variance.

Great lecture sir ❤️🎉.. thanking you very much air

Dear Mr.Krish I am really thankful to you from the bottom of my heart to launch Statistics and ML playlist. Its really helps me to fastly recall everything.....

Krish u r 1 of them who give high quality content, relevant to interview perspective, in free sessionS aswell..... commendable 🙏

Thanks Krish

Very well explained and described, very usefull compratively to other youtube videos, they are not going in depth as yours

Thank you for conducting it. Cleared many concepts.

Good session Krish. Thanks!!!

Great job!!!!

it is very good tutorials beginners like me very easy to understand thanku for ur explanation sir

Your content is amazing!

Thank u sir... U make me fall I'm love with a tasteless subject statistics.

incredible teacher!

Thank You so much for your valuable class ..

Well structured and mannered explanation

You are the god for statistics 🙏🙏🙏 Thank you thank you so much sir

excellent explanation Krish....you made IQR explation so easy

Very helpful thanks a lot, great work 👌👌👌

Thanks Krish👍

Well explained...everything is clear now

Now i got why should i choose box plot for data visualization. Thank you so much sir .

This series is amazing sir ☺️

Amazing sir!!! Thanks!!!

Awesome sir my doubts are getting cleared.

wow krish...you always do great job.

I couldn't understand it in my class because am struggling from headache, Insomnia, Stress, Anxiety and Depression took some medicines felt little good got enough brain to consume this good quality lecture this was amazing experience

wonderful explanation!😁😁

Superb and step by step process followed.😊👍

your courses are great very informative

Your teaching methods are very good.

Amazing explanation for the Boxplot

Amazing session for community 🙏

Thanks for helping

nice bro, I Like the way of You Teaching..

Just found this, you're the GOAT bro.

Amazing way of teaching

Hi sir aapka videos bahutt acha lagta hai… concept ko samjhaate hai aap.. ratwaate ni hai … ❤️

Thank you for session

your explanation was outstanding sir....

Explanation wad superb krish...

u r best in DS ................Thanks .............

Krish you are amazing .Thumbs up guys for Krish 👍

Kudos to the best class ever

Amazing explanation 👌

very good explanation respectable sir

Awesome ,, explanation Sir

Awesome !!

Krish sir is the saviour everytime when problems arise 💖🙌

Amazing video Krish👍

Thanks you sir

Thank you sir 🙏

Thank you sir ❤

ThankYOU sirr......

you are the best sir

Love you sir..... 🙏🙏

Isliye hi aap top par ho teching me awesome teaching process

I wanted to buy Ineuron full stack data science course , then i looked a quora post and now i changed my mind

what an explanation 😮😮😮

excellent explanation sir😃😃

I am big fan of you sir seeing this video 😇

thanks

Very fantastic

Tnku so much sir ❤❤

thanku sir

Well deserved sir

Thank you sir😁

My favourite person and youtuber forever.

Amazing

Homework: why do we use n-1 is used in the formula for calculating sample variance instead of n? To answer this let us understand the difference between the sample mean and population mean. Population mean is the average computed for the entire data and sample mean is the average computed for that particular sample. Therefore there would be some differences between them. the sample mean will be close to the population mean. Now coming to sample variance and population variance, the difference will be huge between the sum of the squares of the difference between data and sample mean and the sum of squares of (data - population mean). This is due to the small difference between the sample mean and population mean. When it is squared the difference is more. To compensate for the difference we use n-1 in the denominator to increase the value such that the sample variance is closer to the population variance. Why n-1 the value comes closer when we compute considering n-1 than to n-2, n-3, and others. Happy learning!!

Sir u r ultimate

krish bhai love u 3000........

Please do live sessions on SQL and excel for data analyst role.

Awesome

yes sir you are audible

Very good session