Statistics-Left Skewed And Right Skewed Distribution And Relation With Mean, Median And Mode
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- Опубликовано: 21 авг 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.
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Easy remembering tips : +ve skew is mean >median>mode , -ve skew is mean
super
Dont try to by heart these as you will forget it eventually. But if you get the intuition behind it its always there.
@@akashravindra.. offcourse I'm not , as i said it is just tips ...
Mode has the highest frequency.
Very useful ..many technical recruiter asking this topic questions... thank you
Krish you did a great job by aploading application based concepts on stats
Amazing way of presentation , great topic in a simplest way superb Krish, the way of your presentation is unique ending with thumps up.
Very well explained. Examples were easily relatable and good for understanding.
Right skewed: sleep time
Left skewed: wake up time
Hello Krish
Can you provide some tricky interview questions like some techniques are only done in classification and not in regression and vice Versa...
I have been asked one question which goes like this- how will you be applying the oops concept in a Machine learning project...
Sir , could you please make a video on this as well🙏
ruclips.net/video/5FYBf-HG3as/видео.html
Hope this helps if you still need it.
Thank you Krish
Great video as usual Mr.krish
Very useful. Please come up with such interview questions and answers video.
Thank you Krish.. informative video
We love these kind of videos, Keep it up
what is the reason of mean>median>mode in positive skewed and vice versa in negative skewed? Please explain the underlying reason alongwith stating the answers!
in positively skewed distribution the tail on the right side which has higher values is longer than the left side so the mean > median > mode
meanwhile in negatively skewed distribution the tail on the left side which has higher values is longer than the right side so the
Mean
Sir when are you making your project playlist free for all? You said you'll make it free a year back
Also going to subscribe this now😊
Nice initiative sir!..
Please continue...
Sir , can you make video on full statistics using R
Yes, I like this video.
I know this is too late but I would like to give an example:
Left Skewed: number of students graduating engineering in India
Right Skewed: number of engineering graduates getting job in India
Teagic but funny😝
oh bhai waqt badal diye jasbaat badal diye...
Thankyou for this series sir
Hello Krish sir I have one question what is the difference between Moment Generating Function and Characteristic Function in Statistics
Very well explained !
Hi Krish,
Please explain the dual part, when the primal part is: If you have 100 Rs in your wallet and your mom asks you to bring a maximum count of apples and oranges from the market.
it's great initiative Krish, do it regularly
right skewed distribution: most International runs scored by batsman
Thanks as no one can give us this example
Thanks for this , but why was the mean higher in right skewed and mode higher in left skewed distribution?
Did you found the answer?
I think there is some mistake if we go by the rule, mode> median> mean
my notes for this video : vishaljaiswal.notion.site/Statistics-Left-Skewed-And-Right-Skewed-Distribution-And-Relation-With-Mean-Median-And-Mode-4ab85c5fe6e645ddab204a51a2c0b1ea
thoughts and comments are welcome. 😀
What question do we need to prepare for python coding interview?
super explaination
Thanks for helping
Brilliant 👍
THank you so much!
Thanku sir
Loved it.
Good question ☺️
right skewed-u also 'Krish sir'
sir upload more videos in statistics playlist complete full playlist sir
Can you explain more about how mean, median and mode got calculated
Mean is nothing but a avg value and it’s a numerical continues value.
Median is a middle value of the data (after sorted the data). It’s happen both numerical continues and discrete value.
Mode is nothing but mostly frequently value it’s happen on categorical data.
Krish bhai Assignment mein help chaye flower recognition mein ap ki video dekhi ha mount drive wali aur data Google drive mein load ho gia ha code b laga liye hn par images upload nai ho rahi.???
What is the logic of mean being greater than mode in a positive skewed distribution?
I really dont understand your analogy that age,height,weight follow normal distribution. Eg. in a class maximum are tall then it may be left skewed, right?
Sir can you post a video based on Two sample tests pls
How do you correct skewness?
Need help bhai
Sir its something I never got its been 35 I m teaching . I need to ask Regarding my research data . I did it all its Shapiro and SK test values com .000
In the 1st pic, how mean>median>mode?? I guess the pic is wrong..
Just by looking at the graphs, I am not able to get why mean > median > mode and so on ?? Can someone explain ??
As mean is average of our data it always stays at the midpoint of data. Mode is always at the peak point to the curve. Median is somewhere between mean and mode.
So, median and mode changes according to skewness.
Correct me if I’m wrong…
Right skew -> -Ve skew -> Mean +Ve skew -> Mean> Median
Can someone explain how age is symmetrical distribution but lifespan is left skewed?
Distribution of age of deaths is left-skewed that is most of data lies in left side. Most people live to be between 70 and 80 years old, with fewer and fewer living less than this age.
How could I join while joining and make payment is getting decline
Apney subscribe waley ko artificially intelligent ka support dilva do phir Duniya following karegi Vedic math par reserch karwavo jo duniya following karney lagegi to next government aapki hee ban jayega
These kind of small videos on statistics is very useful for quick revision.
Thanks 🙏🙏
👇👇👇👇👇👇👇👇👇👇👇👇
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@KrishSir please make video on all statistical testing concept we have.
Jo aap right skewed Kah rahye h wo left skwed h 😳
humesha jo tail ka side se dekho tail jaha jada kicha ja raha hai vo skew pakdo
@@manojsamal7248 ok sir ..thank 👌 u for ur help n time
Koi samj ni ayi