Z Score And Its Applications- Important Stats Interview Question

[@krishnaik06]

Video kaisa laga?...bahut mehnat lagta hai video banane...so Like thoko and dont forget to subscribe :)

[@akshaymondal1372]

Sir Aapke videos say Maine bahut kuch seekha. U are really inspiring . Aapne Jo data analyst pay roadmap banaya tha recent wala .. unmay Aapne Jo bhi skills bataay.. so how do I combine those skills to make my first project of data analysis . Uspay ek video banaay . Highly recommended sir . Thank u for your rich content ❤️

[@harikaans]

Excellent explanation sir

[@godse54]

In addition to this I would add that z score can also be used to find outliers and it can also tell the probability% of the datapoint in context to sigma rule

[@sunilsharanappa7721]

Normalization typically means rescales the values into a range of [0,1]. Standardization typically means rescales data to have a mean of 0 and a standard deviation of 1 (unit variance).

[@cherubyGreens]

Feeling amazing with Krish Naik!

[@arindamghosh3787]

Z-score is used to find how much standard deviation away from the mean our sample mean is and based on that we calculate the cumulative probability from the z-table.

[@srinivasan.g9664]

Thank you so much, because of this video , I got the clarity in Z score applications

[@muhammadm8629]

This is nothing but a good explanation sir

[@mdshahzada693]

Z-score is used to find variability/distance of a data point from the mean value e.g how many sigma away a data point is from from the mean.

[@abhishek_maity]

That cricket example was Amazing!! 🔥🔥❤️

[@uditkumar370]

diff between standardization and normalization -- standardization - we scale down the values between -1 to +1 normalization - we scale down the values between 0 to +1

[@mdabidhussain8602]

z-score basically use for standardize the data or make the data set unit less. when we make the data set unit less then it will easy to understand and got all the data in the same pattern. The standardize data lies between -3.4 to +3.4

[@bhargavikoti4208]

As usual..neatly explained 😁👍..thank you 🙏

[@Whitetysnowny]

Thank u now I really understand what Z score is use for and how it relate to normla distributions. It usually not explain well or only show us the formula.

[@engineeringnerds16]

I used it to find liquidity in cryptocurrency very helpful....!!! Z score cluster

[@vaibhavshah6736]

z-score is use to convert the outliers in 3rd standard deviation . and it is used for standardization using standardscaler()

[@shushantgambhir2002]

Awesome explanation Krish Naik.

[@sethusaim1250]

Standardization is the process of bringing down the values to the same scale, where standard deviation is 1 and mean is 0 whereas Normalization is the process the bringing down the values to 0 and 1 in other terms re scaling the data to 0 and 1

[@sathishk3494]

let us take X = [ 1,2,3,4,5,6,7,8,9] from this if we want to apply the standardization z = Xi - mu/sigma. for standardization we use mu is 0 and standard deviation is 1 which means if we apply X in z we get same value right please correct me if I am wrong, I am beginner and can't understand the concept.

[@ahsan_habib_sunny]

​@@sathishk3494 this mu and sigma in formula z is nothing but the mean we've given (population), if we want to check that a random number (suppose 100) how far from our given data then we use the formula of z. Z is a formula to standardized our data in a scale so that the mean of our standardized data is 0 and std is 1.

[@soumyah488]

@@sathishk3494 for the example u have mentioned u need to calculate the mean and std as usual u calculate the values then use z score formula and scale down the values . For the standardised values now it's std and mean will be 1,0

[@yellankinaveen2496]

Standardization is used to decrease the value in between the 0 to 1 using the standard normal distribution and normalization used to decreases the value in between the o to 1

[@awanishkumar6308]

Hi Krish thanks for choosing this topics , actually i get confuse or find some complexity while implementing in DS or ML projects , and yes i have got role of Data Science Engineer for PWC by taking ideas from your and your belonging,s videos

[@divyaalok5538]

जय गीता जयंती

[@prakhargarg4166]

Best videos on you tube by you

[@tusharsonar3516]

Kirsh you have explain edit very well

[@bishwajeetsingh8834]

Z score is used to normalize the data in such a way that the mean will be 0 and std dev will be 1 also it is used for finding outliers. anything outside the 3rd std dev in gaussian distribution is detected as outliers

[@anivesh2225]

z score is used for oultier detection and it compensastion, used for handling the non weighted data set

[@Ligress]

My understanding before watching the video : z score tells us how many standard dev is the value away from mean formula = x - mean/ Standard dev

[@maruthiprasad8184]

Superb explanation. Amazing

[@raneshmitra8156]

Z score also used for Outlier detection apart from IQR technique....

[@TeluguBlockChain]

very informative 🙏

[@ankurkaiser]

Nicely explained. 👍

[@hdr-tech4350]

Z score is the no. of standard deviations from the mean of normal distribution curve. Applications - To find the probability of particular value to be less than, greater than or equal to the mean of the population data. Example - IQ of a population is 100 and someone claims that a particular class of sample has more than 120 IQ higher the whole population than this kind of problem is solved by z - score.

[@shubham3600]

Z-score is a one of technique where you scale the date in such a way that it's mean in 0 and unit standard deviation

[@YuryGurevich]

Man, God made you a teacher!

[@darshankapadia8728]

Z score use to find outliers. also can be used in error rate finding. easy formula.

[@adrishmitra9809]

Neat explanation. ❤️ 💯

[@KapilSharma-co8xq]

How did you say India performed better in 2021. I want to ask how greater z score implying greater performance?

[@AmandeepKaur-cs9xh]

Consider the example of you getting marks. So, would you like your score to be near avg or above avg(mean)? Hence the higher the z score, the better the performance.

[@deepakdoddera1]

Krish, thank you so much for another gem of a video. Could you please make a video explaining "Confounding Variables"?

[@shadiyapp5552]

Thank you sir🙂

[@shashipaul6279]

Thank you so much for this explanation ....

[@tusharsaxena357]

Nice and easy explanation.

[@mandhavenkatreddy]

neat and with a lot of ease

[@Mikkii]

I have a doubt if someone can answer So in 2nd example krish told gave us some value I understood meu(u) will be 181 and std deviation is 12 but how come he took 187 as an x- value ? X means number of sample or instance.

[@bivasbisht1244]

Amazing 🔥

[@santoshhonnungar5543]

Nice Krish

[@sowmyakavali2670]

we can convert normal distribution into standard normal distribution using z-score

[@mohitkushwaha8974]

What does that std deviation reflects interms of cricket score????

[@ZshaanKhan]

Sir Please make a video on when to do normalisation and Standardisation?

[@AdityaRajPVSS]

Normalization: scaling down to values between 0-1 -----using formula like {(x-x_min)/(x_max-x_min)} Standardization: scaling values to zero mean and standard deviation 1------- using formula {(x-mean)/standard deviation}

[@joeljoseph26]

Its already there go check his playlist.

[@khizarakg]

Whats the difference between Standard deviation index and z score? Are they same or different?

[@ksrinivas3450]

I have a doubt, how greater z-score is better in the cricket example?

[@niketankotadiya9542]

sir can u explain chi- square distribution, . some what is know is that chi-square is squared summation of z score. really want to interpret what chi-square statistics convey.

[@khushijain9979]

If the z score value is away from the mean, how can we say that India performed better in 2021?

[@lohithmunakala]

In this case better means a higher score. The farther from the mean, the higher the score is. The second case 182-5-185 it means that 185 is 0.6 times farther than 182. So relatively it's a higher score than that of the first case where the best score (187) was 0.5 times farther than the mean (181). You're comparing two different bunch of scores from two different years.

[@dangeroussarcasm717]

Hello sir , kindly please make a video playlist on stock market trading analysis i want to learn it interest me

[@rajkir2852]

Normalizstion helps to converge faster in deep learning

[@louerleseigneur4532]

+Thanks Krish

[@shwetanksingh6188]

We can also use Z-score to find Outliers

[@vasanthasampathreddy508]

if the z-score value is more, mean better distribution?

[@rajkir2852]

Normalization : rescale values betn 0 and 1

[@chandrapalsingh3201]

What is use in pair trading

[@way_to_jannah56]

The legend

[@vikraantkoushikapai3520]

Z score is difference between sample mean and population mean divided by the standard deviation. It is used reject for fail to reject null hypothesis. Z score is used to find out the p value using the z distribution which helps to test the hypothesis with sufficient significance.

[@rajkir2852]

Great

[@gauravsavlani5725]

Z score is used in stardardization

[@prashantpaygonde9864]

hi.... krish sir, I watched video & its very informative. i need some help. how can I use z score technic for normalisation for data which is I am recording for every 5 min. means for every 5 min I update data & store . I made table of 72 column by recording data. My Std deviation ( range of 1st10 data) is changing for every column. Can you help me in this. 🙏

[@sruthirammohan4627]

Does it mean that, the more farther the zscore is from mean the more it is good?

[@dara_1989]

how many deviations away a variable is from the mean 👍

[@godse54]

Sir why mock interview videos is not coming

[@sandeepbandi924]

to find the outlier and zscore=n-mean/std

[@himanshumishra6991]

Z- score can be used in Anamoly/Outlier Detection.

[@arjj5232]

so In Comparison scenario one with highest Z score is more preferable

[@rajkir2852]

What does mean =0 means in standardization?

[@nik7867]

We can find outliers also with the help of Z score

[@akshatsharma5426]

Z score is used to find the outliers.

[@MuhammadImran-o4c]

Z score tell us how much we far from mean

[@kanhataak1269]

Z score help us to find out the outlier if data out of six segma

[@Aditi2495]

👍👍

[@muhammedazim7009]

Do u have new live paid sessions now??

[@mohitsinha1994]

Nifty 200 momentum 30 index uses same Z score

[@Statsjk]

Hello sir... Plz talk about the recent talks that data science is getting automated and there are lot of autoML tools cmng in the market which are gng to make data scientists and ml engineers worthless in the future....

[@anuragdhadse1426]

Not really those tools are for base scores or for help in simpler problem. A data scientist can only pitch about the insights of data to stack holders and be responsible for decisions. Higher managment dont know how to use these tools and gain insights which can directly be used fir business application. Furthermore a model deployment and scaling the model to userbase is infrastructure problem which a tool won't directly be able. We would still need someone who can understand the requirements of the system.

[@divyaalok5538]

जय श्री राम

[@avinashgupta4038]

Sir want to connect you

[@cutieaadi9599]

COnfusing video, as I know z score closer to mean represent good data quality and vice versa...

[@koustav6884]

Ok so India is doing far better this year in cricket avg is way above that 182😂

[@manojrangera]

2021

[@yunes7305]

Thanks for the tutorial. Free Palestine 🇵🇸

[@xcelminds.007]

2021 has lesser variance, hence 2021 India has played better

[@VasuBhalani]

thank you sir 😄