Skewed Histogram (Left Skewed Right Skewed Histogram)

[@teacherdollie900]

good job. thank you for sharing.

[@sarahal-taay1965]

thankyouu soo muchhh! this helped me

[@katrinamarier9]

Many thanks for sharing, can i ask question about left skewed part (5:01-05) is it Mean

[@cylurian]

It's left skewed. Here is another easier video that might help, from me. kzbin.info/www/bejne/aqCqoGSLhql3rsU

[@KristabelTV]

It is supposed to be Mean

[@betsyyjoshy11]

We are probably distantly related if you are a Romero jaja

[@sheilaharris3590]

You are the BEST! these videos really help when there is a language barrier and you can't understand your professor. I am such a visual leaner.

[@CatgirlSmok]

hes not the best anymore he hasnt uploaded in 3 months

[@megha3329]

mean

[@ImLiterallyHazel]

I will never forget how to find a left or right skewed with the hand drawing! you have change my life and gave me a reason to laugh and remember how to solve this in a very special way. Thank you so much!!

[@CatgirlSmok]

92K views and 34 comments??? Wtf, where's the spam?

[@ElberG09]

What if you calculate the Pearson factor with the following formulas. The result turns out negative. That negative result would mean that the frequency distribution is negative skewed even though the mode is not in the extreme? Simple mean= 46.8439 Median= 47.8571 Mode= 47.3684 Skp1= -0.1779 Skp2= -0.0307 Skp1= (mean- mode)/standard deviation Skp2=3(mean- median)/standard deviation Thanks in advance

[@cylurian]

There are many factors here in play. Your Skp values - did your teacher give you a range when it's not skewed? What I mean is, maybe your Skp values should be smaller than 1 or 1.5. Also, the mode. Are there enough data points in the mode to suggest a "true" mode? What I meant was, if there is only two values that represent the mode from "a lot" of data, then the mode doesn't suggest anything. Also, you standard deviation, I think is 2.948. Think about this. If the distance from the mean to the mode is larger than the spread, then the mean from the mode are far apart. How much is "far apart", well that goes back to the teacher. You see, if the distance from the mean to the mode is 2.948, that would be the same distance as your standard deviation, which your formula Skp1 would be -1 and then that would suggest a "good" distance apart, but again you need to know what your teacher has to say about small values of Skp1 like -1 suggest. Can it be that -1 is now to wide of a gap, and thus there is skewness? My thought is that skp1 and skp2 are small relative to -1 thus not too much skewness, plus the mode is smaller than the median, suggest that there is not skewness going on. Tell me what your teacher told you. I'm interested in knowing. Good luck.

[@ElberG09]

cylurian we were told to make the histogram and analisys of the set of data of this example and conclude if it was symmetrical, right or left skewed kzbin.info/www/bejne/j5aUYYmJbZZ-d68

[@revelation777a3]

I have watched several videos but no one compares to yours . Thanks to you I learned how to do it.

[@cylurian7603]

Thank you. Good luck on your math.

[@pancake9707]

what i've also leaarnt is that its not served to u on a silver platar u acc have to try to understand

[@HE-eg3vm]

@5.05 is this true?

[@Ana-lg4hc]

good video but i wish if you could get to the point quicker

[@poligamias]

Is this true for population means?

[@cylurian]

Math Ga Yes.

[@snlper1]

you have a nice voice

[@youssry191]

Splendid really >>>>> Thanks a lot for your effort

[@MahoganyMilkshake]

Is "symmetrical distribution" synonymous to "normal distribution"?

[@cylurian]

+MahoganyMilkshake Not really. When you say symmetrical it just means that one side of the distribution is the same as the other side. For example, a uniform distribution is a square and that would be symmetrical. On the other hand, if you are just starting statistics, then the first distribution that comes to mind when talking about "symmetrical distribution" most people think of the normal distribution.

[@syrilduag3308]

sir what if the mode and the median are equal but not with the mean? can we consider it as symmetrical?

[@CatgirlSmok]

why r u calling him "sir"

[@fahad_sul9]

@@CatgirlSmok why so disrespectful

[@triciadavismilhoan4200]

I'm preparing for the ATI teas test and have seen a couple practice questions on this topic. So glad I found your video. Extremely helpful!

[@cylurian]

Great. I hope you do well on your test. Take care.

[@CatgirlSmok]

5:44 "The middle is what" Realises _oh yeah im recording they can't hear me_ *Should Have Edited That Out* -Sucess- *fail*

[@jerryng8888]

median is middle.. but how do u that the mean is less than meidian

[@letusworshiphimth4768]

thank you

[@cylurian]

No problem. Please share the video. Hope you do well in your class.

[@nitromaen]

I believe you make quite a confusing typo at 4:48. Nevertheless, I thank you for a great video.

[@cylurian]

You are right. Keep watching and you will see a note next to it.

[@nitromaen]

Oh. I believe you must be referring to a KZbin feature that I've disabled then...

[@cylurian]

Sure. Think of it this way. The analogy goes like this. Think of the number line. Now go to zero. From the "right" of zero, are "positive" numbers. So, when we speak of "Right" skewness, it is the same as "Positive" skewness. Also, from zero to the "left" is "negative", thus "Left" skewness is "Negative" skewness. Here is more information. When I say, "Right" skewness, it is right of the mean or "Positive" skewness from the mean; and vis versa. Hope that helps.

[@CatgirlSmok]

you have to press REPLY to the comment you're replying to

[@ubb008]

Could you please explain about (Positive-Negative) Skewness. Which one belong to left and right skewness. Thank you so much for you explaination.

[@cylurian]

Its not the values of the mean or the median, but the values of the x-axis. At about 5:38 on the video we talk about left skewed. Now it is mean < Median < mode. Not we are not talking about the value of the mean or the values of the median and the mode. What we are saying is the corresponding values of the x-axis. Notice that the mean's x-value on the x-axis is lower than the median's x-value on the x-axis. Go ahead, look at the video again.

[@CatgirlSmok]

you have to press REPLY to the comment you're replying to

[@cylurian]

When we talk about the mean being less than the median, we are talking about the value of the x-axis, not the frequency count. Check the video again.

[@CatgirlSmok]

you have to press REPLY to the comment you're replying to

[@tushnamehta4311]

If there is a positive, i.e. right skewness, what does that indicate about the nature of the data set? thanks :)

[@JakeTorres0206]

Hi, I'm working on my thesis studies about multi media. I saw this video very useful. I want to ask permission to use this video as my additional presentation.Thank you. This is very helpful.

[@cylurian]

Yes, please use it for your thesis. It would be an honor. When you finish writing your thesis, send me a copy! Good luck on your defense (if you are doing one).

[@JakeTorres0206]

Thank you so much. Sure I will.

[@CatgirlSmok]

Im pretty sure you're using voice over Buy a microphone

[@cylurian]

Thanks.

[@CatgirlSmok]

_you have to press_ *REPLY* _to the comment you're replying to_

[@sanditintun]

Thanks .

[@jerryng8888]

ill figure it out , thx

[@jerryng8888]

we don't know the values of the mean though ... sorry i dont no why im cnofused lol

[@cylurian]

np.

[@CatgirlSmok]

you have to press REPLY to the comment you're replying to