Stats Interview Series #1- Asked In Interview
HTML-код
- Опубликовано: 11 сен 2024
- The Interview question is
Tell Some examples of Left skewed distribution and right skewed distribution and what is the relation between mean, median and mode in these distribution.
Subscribe my vlogging channel
/ @krishnaikhindi
iNeuron is coming up with the Affordable Machine Learning And Deep Learning Master Course. This batch is starting from 10th April and the timing will be 8am to 10am on Saturdays and Sunday and it will be live sessions.
The course fees will be 3000 inr+18% GST.
Download the syllabus and fill the form to reserve the seat
ineuron1.viewpa...
Download the syllabus and fill the form to reserve the seat, the support team will call you.
ineuron1.viewpa...
Incase of any queries you can contact the below number.
8788503778
6260726925
9538303385
8660034247
9880055539
-------------------------------------------------------------------------------------------------------------------------
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for a few months and I love it! www.kite.com/g...
All Playlist In My channel
Interview Playlist: • Machine Learning Inter...
Complete DL Playlist: • Complete Road Map To P...
Julia Playlist: • Tutorial 1- Introducti...
Complete ML Playlist : • Complete Machine Learn...
Complete NLP Playlist: • Natural Language Proce...
Docker End To End Implementation: • Docker End to End Impl...
Live stream Playlist: • Pytorch
Machine Learning Pipelines: • Docker End to End Impl...
Pytorch Playlist: • Pytorch
Feature Engineering : • Feature Engineering
Live Projects : • Live Projects
Kaggle competition : • Kaggle Competitions
Mongodb with Python : • MongoDb with Python
MySQL With Python : • MYSQL Database With Py...
Deployment Architectures: • Deployment Architectur...
Amazon sagemaker : • Amazon SageMaker
Please donate if you want to support the channel through GPay UPID,
Gpay: krishnaik06@okicici
Telegram link: t.me/joinchat/...
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
/ @krishnaik06
Please do subscribe my other channel too
/ @krishnaikhindi
Connect with me here:
Twitter: / krishnaik06
Facebook: / krishnaik06
instagram: / krishnaik06
Please answer the questions in the comment.Subscribe my vlogging channel
ruclips.net/channel/UCjWY5hREA6FFYrthD0rZNIw
Left skewed - mean
Height in a game will not suitable for Basketball, I think, correct me if I am wrong
left skewed:-meanmode
Eg:-salary of a person
Left skewed : immunity of people wrt age
Meanmode
Can you please explain why immunity of people wrt to age is left skewed??
@@acharjyaarijit
Because, generally, immunity in the body decreases as age increases.
Left skewed is like the left foot toes: mean < median < mode , examples are easy examination scores, trading strategies by investors
Right skew distribution are like right foot toes:
mean> median > mode examples are: income of people in a company, monthly spends etc.
Right Skewed: Salary In a company, Mode
Can u explain how you got that?
@@boejiden7093 which one
@@NeuralHackswithVasanth nevermind, i figured it out. I wasnt sure on both
Can you explain, how salary of a company is right skewed? it can be left skewed depending on the order too right?
I don't think grades are left skewed
Its been 8 months since i had taken ML and DL course from ineuron but didnt complete the course or stay focused everyday after the first 1 and a half month...
Today I'm going to re-start this journey and succeed in becoming a good data scientist as fast as possible, stay focused, learn from my mistakes and use the opportunities now onwards
it's been another 8months. what is the progress bro
Left Skewed - Mean < Median < Mode
Right Skewed - Mode < Median < Mean
left-skewed distribution has outliers to the left. --- peak or mode towards the extreme right, mean - towards left due to outliers, median in the middle of mode, and mean. mean
Distribution of death at different age will be left skewed.
Distribution of income of families will be right skewed.
Relationship of mean, median, mode:
For right skewed distribution the relationship will be
Mean > Median > Mode
For left skewed distribution the relationship will be
Mean < Median < Mode
I'm really thankful to you for your videos in DS ML and also your motivational videos always inspires me everyday to learn new things.
Right skewd example is as the age of human increases the physical strenght decreases and for Negatuve skewd it might be number of fully satisfied student from the course they opted for...
Mean> median>mode in right skew and Mean
Right skewed: Income of a person vs experience, mean>median>mode
Left skewed: Efficiency vs age, mean
Right skewed Distribution- mean>median>mode
Left Skewed Distribution-
mean
1,100,101,102,103... This kind of data is left skewness ,. 1,2,3,4,5,100,101... This right skewness
In left skewness=> meanmedian>mode
If there is no skewness ,mean=median=mode
Always thankful to you sir.❤️
The great initiative must need for those who are going for dada science interview,
Right skewed- household incomes,
Mean>median>mode
Left skewed-human life cycle, average life, very less, very rich life
Mean
Left skewed data: MeanMode. Eg: age of working women vs number of women
If I'm not wrong basically as you said salary vs exp.. in this the line will be go higher and higher with the increment in experience and line will not comes to down-wards so i can't say it left skewed.....
Right skewed : company's employees salaries modemean, formula Z=3M-2X
Mean > median Right skewed
Mean
An obese person in a group of malnourished ppl -right skewed -mean>median
A malnourished person in a group of obese ppl -left skew mean
Sir it helpful for all ,if u keep it as a document . So we can refer all these document for Interview preparation. Thankyou
With the help pf skewness we actually find the relationship between columns. For example in my describe function 50% (mode) my data is in suppose 61 and my mean is 60 so that is left skewness. From the 50% (61) my column is left(60) so that is left skewness. And that gap is small so we can say that column is correlated.
left skewed-> age of marriage
right skewed->age of death
Very very nice initiative, thank you Krish.
Right Skewed(positively)- mean>median>mode
Eg- Number of customers arriving in a restaurant.
Left Skewed(negatively)- mean
I think score of players belongs to right skewed!!
as beginnig is hard only and many people left the work in the beginning so,
right skewed - to left something in between with respect to days
left skewed - to stick to something with respect to days
left skewed - meanmode
simple example lets take three numbers 1,2,3 with 2 as mean....now we add another number to far left say -10 now this ia example of left skewed data...instead of adding to far left , add to far right say 12 this is right skewed.
right skewed == mean>meadian>mode
ex:
1.wealth distribution
2.lengths distribution
normal distribution == (mean=meadian=mode)approx
ex:
1.age
2.height
3.weight
left skewed == (mode>meadian>mean)
1.life span of humen
Waiting for the video Krish sir!
Left skewed distribution means your maximum frequency of data is at lies at right side of dist..(gradually increment in right side)
example- age vs weight distribution
And right skewed is vice versa.
Example-
Power vs torque (gearbox power transmission)
Employee salary is can be example of right skewed data when we have salary of all the employe including top management as well.
Right skewed data has mean > median >mode
NPS survey is the left skewed data and relation between 3 components are mean < median < mode
Age vs Want to become Data Scientist: right skewed
Age vs Successfully completed Stats course: left skewed
Negative skewed Cricket scoreless of a batsman.Right Skewed-Income of the people .Negative skewed MeanMode
Once You Become Fearless Your Life Become Limitless
Thanks
Left Skewed Distr eg - Degree Distr of Social Network Graph where there are large no of nodes with small Degree (connections) & Small no of nodes with high Degree (Hubs). Like Hub & Spoke Visualization
When two data sets has same mean and variance value then we have to check how the data is distributed then skewness came into the attack
in left skewed- mode will be highest and in right skewed-mean will be highest.
Left skewed: declination in population(y-axis) along with increasing years (x-axis) Mean
Skewed distributions usually have their median less than the mean
left skewed example - height of person when both their parents height is low
Right skewed example - height of person when both their parents height is high
Sir Try to help freshers for data analyst role
because iam also fresher i am looking for
data analyst role . I don't know what statitics
concepts should i need to focus on . Please
clarify this doubt in your videos.
krish has already made a video on stats topics...find that video...really helpfull.
Right skewed distribution exam - wealth of the population of a particular city/state/country/world. MEAN>MEDIAN>MODE.
Left skewed distribution ex- Life Span of a human beings
MODE>MEDIAN>MEAN
Hi Krish ... can you do one session on developing a interactive Dashboard using DASH in Python?
Left skewed - crowd vs time ; at a bar at Friday night?
Riches/income in India right skewed
Hi krish,
I have given an interview. First round was telephonic and after they have given me an assignment to make the model by using numpy not sklearn.
I am doing and taking internet help.
If you get time can you create a series for all popular algorithm using python
Right skew distribution example is distribution of income.
Mean>median>mode
Left skew distribution is human life span and retirement age.
Mode>median>mean
Thanks Krish
Can I Say spread of crona from April to Jun , if distributed day wise is left Skewed, and post jun to till date it's right skewed?
Please use the word "particular" a bit less frequently.
Sir 😐, why your eyes 👀 area are red cover 👀👀🤔😐😐
*Example for Left Skewed Distribution:* Rate of increase in Diabetes Patients vs Age
*Example for Right Skewed Distribution:*
No of Employees in a company vs Salary
*Relationship between Mean, Median & Mode*
Mean < Median < Mode (In Left Skewed Distribution)
Mean > Median > Mode (In Right Skewed Distribution)
Example of right skewd - employment salary of a company
Relation - MODE< MEDIAN
Right skew distribution : salaries of employees in a company.
Left skews: final score of a T20 innings
Means is higher than median in right skewed and vice versa in left skew. Mode will be close to median in both of them.