Live Day 2- Basic To Intermediate Statistics

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[@walidhossain3655]

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

[@abcdabcd8605]

Thanks

[@baylee1791]

Life Saver

[@harshalchoudhari3767]

Thank you...

[@joseph2073]

here does the index start from 0 or 1?

[@anuradhabalasubramanian9845]

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

[@akhilsingh5251]

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.

[@abhi_OO786]

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

[@vishal5545]

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

[@blueeyes201988]

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

[@sh__--]

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

[@rokibhasan5184]

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.

[@gurjeet333]

Awesome video, please continue your good work.

[@shivakumar-ic9dh]

Superb and step by step process followed.😊👍

[@sohildoshi2655]

You are best of all! doing great job!

[@deb2372]

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

[@beingrishi6450]

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

[@archanababuta3787]

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

[@ShadyPencil]

very nice! good refresher!

[@schuf1738]

Awesome. Thank you!

[@techandtalks6224]

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

[@dkchetan7496]

Thank you for this amazing playlist krish

[@raj-nq8ke]

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

[@birdeee461]

Thank you sir , you are simply the best.

[@tanish7124]

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

[@AiWithAnshul]

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

[@pankajkumarbarman765]

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

[@arsalfahim2096]

Thank you for conducting it. Cleared many concepts.

[@milanmishra309]

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

[@snehalhon]

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

[@lasha4585]

Great job!!!!

[@nikhilsalunkhe3723]

Well structured and mannered explanation

[@shanakamadhuranga]

Good session Krish. Thanks!!!

[@gauravvan]

Your content is amazing!

[@nikhilgupta6803]

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

[@nup2943]

Well explained...everything is clear now

[@yashwanthba8536]

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

[@rahuldas6777]

incredible teacher!

[@studybaba8460]

This series is amazing sir ☺️

[@rajapratappedapudi]

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. 🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏🙏

[@sawoodshaikh4293]

Very helpful thanks a lot, great work 👌👌👌

[@manojkumarparuchuri5920]

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

[@ravipanchal8837]

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.....

[@manishagyaan]

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

[@airgeaz3871]

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

[@SBhupendraAdhikari]

Thanks Krish

[@vinodpawara2129]

Your teaching methods are very good.

[@samratduttaroy6306]

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

[@sumaaithal1398]

wonderful explanation!😁😁

[@MrRobo930]

Awesome sir my doubts are getting cleared.

[@themindtreasure8453]

Amazing explanation for the Boxplot

[@ANKITASHARMA-ix9gt]

your courses are great very informative

[@AmandeepKaur-gf9ur]

Amazing sir!!! Thanks!!!

[@mohammednadhim1918]

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.

[@ashutoshpandey1452]

wow krish...you always do great job.

[@anonymousmidclass]

Amazing way of teaching

[@srikarboganadham4113]

your explanation was outstanding sir....

[@AsadaTaco1]

Just found this, you're the GOAT bro.

[@adityarao2612]

Thanks for helping

[@junaidrizvi9884]

Thanks Krish👍

[@shashibhoi]

Amazing session for community 🙏

[@RohitKumar-dz8dh]

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

[@yogeshwarir3789]

Explanation wad superb krish...

[@amitgoswami7856]

very good explanation respectable sir

[@sagaryadav5360]

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

[@maheshnagisetty4485]

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

[@harshitsamdhani1708]

Thank you for session

[@kelvinomenyi1568]

Krish you are amazing .Thumbs up guys for Krish 👍

[@darshikaverma9170]

Awesome !!

[@harshmeshram4308]

🎯 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

[@akankshak228]

Commenting so i can comeback to read

[@prachitamta4098]

Kudos to the best class ever

[@ashwinidikonda2146]

Amazing explanation 👌

[@sumitlall9600]

Awesome ,, explanation Sir

[@nivirajput6816]

Krish sir is the saviour everytime when problems arise 💖🙌

[@ameerazam3269]

savior of all DS intermediate

[@RishiSharma-ti4bt]

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

[@dangeroussarcasm717]

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

[@EjazUddin786]

Thanks you sir

[@itsmerashmi121]

Thank you sir 🙏

[@laxminarayangaidhane7116]

Thank you sir ❤

[@user-hm7cf3ns2u]

Amazing video Krish👍

[@akashrathore1388]

Tnku so much sir ❤❤

[@mainakseal5027]

you are the best sir

[@narendrapatnaik1154]

ThankYOU sirr......

[@jeMohneeshSwami]

thanku sir

[@darshanvala9224]

thanks

[@sarahacademy1673]

Very fantastic

[@JANSAMARTHAKNEWS]

Isliye hi aap top par ho teching me awesome teaching process

[@Akhileshreddy]

I am big fan of you sir seeing this video 😇

[@jayantmishra4270]

Love you sir..... 🙏🙏

[@prakharakumar17]

excellent explanation sir😃😃

[@rehaansofi789]

what an explanation 😮😮😮

[@munshir.c6161]

Amazing

[@ajinkyagaidhani2484]

Well deserved sir

[@nallurivenkat7425]

My favourite person and youtuber forever.

[@kuldeeplodhi7]

Thank you sir😁

[@Rocky786Rocky]

Very good session

[@milanmishra309]

good class!!! 28:10......

[@sharathchandrakarnati2101]

4.98 likes are very less for your efforts Krish, who wants to really become a data scientist, your video help full for them

[@chrismatasio1551]

yes

[@dennyage4791]

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

[@Dr.imran_khalil]

outstanding

[@eduworld_phobia8646]

Awesome

[@shubhamghadole4661]

yes sir you are audible

[@sandipansarkar9211]

finished watching