Types of Data: Nominal, Ordinal, Interval/Ratio - Statistics Help

The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples.
0:00 Intro
1:07 Nominal
1:46 Ordinal
2:43 Interval/Ratio (scale. quantitative)
3:23 Graphical representation
4:05 Example - Helen's survey about chocolate
We recommend you try the examples in the companion video, Types of data - practice identifying, Shopping Mall example
• Types of data: Nominal...
See creativemaths.net/videos/ for all of Dr Nic's videos organised by topic.
There is an updated version of this video available without advertising for channel members and supporters. • Types of Data: Nominal...
Subtitles in English, Spanish, Portugese, Thai and Malay.
#DrNicStats #Statistics

[@dreameditingproo]

It's been almost 11 years but this video is still helpful for understanding the different types of data. Thanks a lot, Dr. Nic 🤩

[@DrNic]

Most welcome

[@lindamaynard9107]

Thank you Dr. Nic!!! Your video has and will help me tremendously in my statistic class. Before finding your video I wasn't sure that I would be able to pass this class successfully. Now I am confident that I can and will ace this class!

[@ameenalgamal.9741]

I just wanted to thank you for all the videos. They're all very informative and easy to grasp.

[@misstrixie8744]

This is so much easier to understand the first time through vs the complete waste of professors I am currently dealing with... tenure= forgot that the job is called teaching

[@amitkapoor7831]

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[@ApenstaartjeYT]

The idea of a tenure still seems weird to me as a European

[@eljohnsonlyk]

Thank you so much this is so much clearer and more concise than my lecturers explain things and I pay £9000 a year for that

[@buddyfan1234]

Thank you for making this video! It was really easy to comprehend, and I think it will well-prepare me for next year's AP Statistics!

[@sohaib3064]

Great video and very clearly summarises the main ideas. I've been looking at other videos in the past week, but this was the best by far. Keep it up!

[@joyanax9169]

Fantastic! Really does help, even a university student like me! It's quite simplified and the little animations are quite entertaining. Thank you very much for your efforts x

[@mutwirimartin8214]

am humbled by this video actually it has shown the simpler methods of data presentation

[@gamebeenikki9502]

You are my hero for making this channel! Thown in the deep in doing Stats and Research at Uni in first Unit as a Older Student and competing against year 12 students who learnt this and we NEVER did in high school 23 year years ago You have helped me soooo much with the manner in which you simply explain things and I don't feel so overwhelmed having caught up! Angel!! xxx

[@DrNic]

Thank you - your comment made my day.

[@marumakoto]

Thank you so much! You are superb in explaining things in the simplest way! Keep it up! :))

[@ulakalicinska3223]

This really helped me with my psychology revision,thank you xx

[@afifkhaja]

Succinct and well-demonstrated. Thank you

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Oh wow estoy impresionada porque este video me salvo una exposición grupal!!.Santo cielo eres grande muchacho me llenas de felicidad con tus videos que aunque pasaron varios años aun sigue ayudando a gente como yo!!

[@mheepooh7413]

11 years +, but still legit. given clear examples and nice visual. kudos and thank you doc.

[@DrNic]

Much appreciated!

[@mayjuly6015]

Thank you very much. Everything you uploaded is very helpful for every one . May you be successful more and more.

[@karlamendiburu1322]

Best and easiest to understand video about data analysis!

[@mahmoudalsaidi719]

This video is very helpful for anyone starting to do quantitative research.

[@farhanatasnim2548]

D

[@Boricua_Pinoy]

Or Intro To Stats in Psychology

[@Bumkeys]

Agreed!

[@grogudjarin944]

Thank you for posting this video. Concise!

[@sheebee8398]

Well explained and easy to understand. Thank you!

[@AAA11546]

So incredibly helpful, thanks!

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Thank you very much. I got many information and knowledge from your video , I hope always stand with us. smart knowledge!

[@mariaberger3510]

That video has a really good explanation! Thanks for making it :)

[@allisonfernandez7941]

Great review for me! Very clear and concise. Thanks

[@francisjoseph4959]

Thanks! I passed the board because of this video.

[@viviannguyen626]

Thank you very much for this video. It is clear and meaningful, easy to catch up. Thanks

[@suryarmdh]

thanks for making this video. My understanding increase since watching your video. Keep it up

[@giselegiram]

Wow, well explained, so helpful. Thank you.

[@Athenaman717]

Thank you for this wonderfully clear presentation

[@mohamadromdoni4614]

Thanks for sharing. This is very good job even for me who want to learn statistic from zero.

[@DrNic]

Yup - you got it. Nominal doesn't always have numbers assigned. It is often left as text.

[@DrNic]

@jowl88 @psipsychologytutor @alwilber79 You are all most welcome. It took me quite a while to think out how to make this one. Please tell your friends, classmates and instructors. You might find some of our other videos useful too.

[@ZubairAhmad-kq3ym]

i found it much more easy and helpful ,

[@lauracarrillo884]

thank you so much

[@muralin7739]

Very useful video. Gives the gist of data types in a simple and effective manner..

[@sarahkuponiyipadqueen5537]

Wow, this video is ten years ago. And it's useful to me today... Thank you it was hard grabbing the subject in class but this simplifies it

[@DrNic]

Yes this old video continues to be helpful still.

[@courtneywhite9086]

Loving the half a second Star Trek reference in the beginning haha :D

[@JawnLam]

Very helpful. Thank you for putting this together.

[@pattianderson5072]

Excellent! Easy to understand. Thank you.

[@shameenoori4193]

Excellent video thank you so much, the pictures and illustrations are really helpful

[@amanialzhrani4811]

Thank you so much, Dr.Nick, this has been so helpful.

[@DrNic]

You're very welcome!

[@marzena109jp]

Thank you for this video! I got here from your blog where you say that Likert scale can be (sometimes) treated like something continuous-like to compute the mean. It does feel right. I am working now on a project where I have participants rating utterances (1-9) for comprehensibility and accentedness. Now this does feel like assigning a score and I think this is also a case where it is OK to compute the mean (or normalize with z-scores) but I would love to hear your opinion about it.

[@hakem_ibra]

This video is much-needed and helpful still after 12 years. Thanks a lot for the uploader of this video 🎉 🎉❤

[@DrNic]

My pleasure 😊

[@HabtamuWondimuWolde]

The understanding I have got about SPSS is realy interesting

[@deedotmartins]

This was great! Thank you!

[@ramkyadi]

very clearly understood. thankyou for the good job done.

[@KamalAsasi]

Thank a lot. It was great explanation for types of data

[@yuvsabharwal9455]

Brilliantly explained , thank you so much !!!!

[@DrNic]

That is a really interesting question. Strictly speaking, IQ is ordinal, as we can't guarantee that the gap between 100 and 110 represents the same difference in intelligence (whatever that is!) as between, say 110 and 120. However, it is usually treated as interval data. It depends on whether you are a "nit-picking mathematician" or a "sloppy social-scientistt."

[@southcabin]

Dr Nic's Maths and Stats LOL You spelled sloppy social-scientist wrong...

[@DrNic]

@@southcabin Oops - that was a bit slopy of me! ;)

[@darlingtonmachapa3733]

The explanation made me easily understand the topic. Found it very helpful.

[@DrNic]

Glad to hear it! Tell your friends.

[@lalakloo7709]

The best explanation ever! Thank you Dr. Nic

[@DrNic]

Happy to hear it. The second edition is even better!

[@DrNic]

The difference isn't usually relevant in statistics, so I didn't confuse things by adding that level. Ratio data has a meaningful zero value, and ratios of numbers make sense. For example temperature is interval data as the difference between 30 degrees and 40 degrees is the same as the difference between 40 degrees and 50 degrees. However it is not meaningful to say that 40 degrees is twice as hot as 20 degrees. So temperature is not ratio data. Length in mm, is ratio data. 20mm is twice 10mm.

[@MohamedOmar-wc6mb]

Statistics Learning Centre beautiful girl with fresh mind.

[@carriefawcett9990]

Thanks for this information!

[@ikefitri4334]

not only themperature, but the rating is iterval, it havn't the absolute zero

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This video is awesome! Thank you! P.S. Привет магистрантам ИТМО :)

[@lamaalrashed3395]

You are a life saver, you have no idea how much you’ve helped me ❤❤❤❤

[@DrNic]

Happy to hear it. I seem to have saved a few lives over the years

[@BlackWinterBeauty]

Such a great video, thanks so much! I love your accent too :)

[@dirtypimpbird]

another great video by you folks..thanks

[@kristenness6034]

Helen looks so crazy and angry when she asks for survey participation! :) great video really helped to learn the info!

[@DrNic]

I know! She has a real attitude problem and does not model good surveying behaviour.

[@patriciateixeiramaggi2363]

Great explanation. Thank you.

[@Dinoyt48]

I needed this & finally i found. Thank you Dr. Nic 😊

[@DrNic]

Glad it was helpful!

[@vipashapmehta]

Excellent video maam. It's really simplified very well for easy understanding and superb grasping. tysm for this one.

[@shamyuthaanand4325]

Very helpfull now i can understand the differents between nominal n ordinal.thanks alot

[@TheEmgriffiths]

Great video just what I needed thanks

[@arundhatigarud9691]

It was a very helpful video.. Thank you

[@lockafellafitness6958]

This channel is extremely informative, thank you very much.

[@DrNic]

Glad you think so!

[@jowl88]

very helpful, thank you!

[@Rayoflight917]

great video. i learned a lot!

[@later820]

the accent is clear, the vid is very informative---- thanks a lot

[@DrNic]

I'm sorry you feel like that. There are also quizzes that help you to learn the content. We think this is an important addition to help you learn.

[@stories5137]

thanks 4 sharing your knowledge

[@nitebum]

Thank You! Very helpful.

[@hannymuchtar3487]

Hello Dr. Nic, thanks so very much for your best efforts in sharing this great video on the differences of measurements in Stats. The way you presented, it is fantastic, and I can understand it easily. My best

[@DrNic]

You are very welcome

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Thank you! Really usefull lesson.

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Thank you for posting omg

[@subramanianchenniappan4059]

You've made it very clear . Thanks 🙏🙏🙏 . I am a java developer . Trying to learn stats for machine learning

[@DrNic]

Glad it was helpful!

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I teach a band of 180 students every year on research methodology and after i explain the concepts to them i play your video to the class . I can see the light in their faces when they see the video . They do walk up to me and tell me it helped the concepts to solidify faster in their brains. Most of them might end up subscribing it to you . As i make it a point to credit you in the end. Mostly they love your pictures that you choose, so keep it up :) - From India

[@DrNic]

Thanks! it is great to hear we are helping people learn.

[@user-bz7fj1fk2m]

Dr. Nic, really interesting!!! STAY BLESSED!!!

[@DrNic]

Thanks, you too!

[@viniekouamou8188]

Great video. thanks

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Great Video, I learnt a lot!

[@vm982]

very helpful video! thank you

[@fungwaighee3019]

Thank your video, it very useful for me.

[@wangshiny3510]

This is fabulous! Very helpful! Thankyou!

[@DrNic]

Thanks. You might find it useful to do the practice exercises in the companion video: kzbin.info/www/bejne/hn23i6WHqZVkiZY

[@Cherryblossom98636]

Your voice is so soothing. Thank you for this video

[@DrNic]

So nice of you. You made me laugh.

[@DrNic]

As it shows in the video, this is a matter of opinion. Mathematical statisticians say that you can only apply non-pararmetric analysis to LIkert scales. However much psychology research uses Likert scales as if they were interval data. Combinations of Likert scales form indices, some of which are validated and used extensively as if they were parametric or interval data. I think an awareness of potential issues is important, but the choice is up to the discipline in which you are operating.

[@frdon177]

THANK YOU!

[@ateannechannel3450]

Very clear!

[@manojpandit4166]

Such a wonderful explanation.. thanks a lot 🙏

[@DrNic]

Most welcome!

[@shrutijhanwar2702]

Could you please tell me the difference between scaling and coding of data?

[@noura.english9582]

thank you soo much 💜

[@tammywhite9981]

Thank you so much for this video.

[@DrNic]

Glad it was helpful! There is an even better version in the members section. ;)

[@rederrafiq4287]

Thank you for this video!

[@DrNic]

You are so welcome!

[@creativemedia4750]

Best explanation so far...Thank you heaps

[@DrNic]

Glad it helped! It can be tricky.

[@Mollehertz]

Thank you.

[@carolinemary9070]

Thank you from Egypt ❤️❤️❤️

[@DrNic]

You are welcome - from New Zealand!

[@chriscockrell9495]

I really enjoyed this video. You reached may good conclusions that I've struggled to understand while study the nature of data and information. Like you, I spend a lot of time looking at graph types, the data they show (property and attributes that make them unique), and strength and weakness. Here are some thoughts you may not have considered. Nominal data is not about frequency or percentage, it is a concept. Concepts have qualities that define qualifications to be categorized as "the concept." Counting and percentage is how you can quantify a nominal data set. The mean is not a way to quantify a nominal data sets, same goes for the median (middle) in a nominal data set, but the mode is an option to describe an "average." Ordering and interval is not a part of the concept of nominal. Nominal is the average/normal/typical definition or concept. An ordinal data set is a nominal data set that has an attribute of connectivity, sequencing, between concepts. Ordering or Directionality (Example, winner or loser) Median is a measure of typical/ normal/average with the addition of a new dimension of information found in directionality or ordering. Interval data is about distance, a weighting on directionality. A set of interval data is, as the definition of a set, can be a quantified as a percentage and counted. As it is ordinal, it has directionality. As it has interval, weighting on the connectivity, it has a dimension of length in it's information. The average satisfaction rating.... as a #. It was ordinal, until you turned it into a interval. Also, pie chart is not for ordinal data..... It can be, it really depends on what information you are trying to show. Information relating ordering can't be graphical show in the same using a pi chart. Pi charts are a percentage of a whole data set or subset. If you feel I'm missing details in my logic, I'd be interested in your reasoning.

[@DrNic]

Thanks for your input.

[@PRATIKPB1994]

Helped a lot, Danke!

[@DrNic]

Glad to hear it.

[@keyleegibbons9950]

These illustrations are so funny, they all look villainous. Very helpful video and the narration is actually nice to listen to as opposed to some other videos where I feel like the mic must be literally in the narrator's mouth the whole time.

[@DrNic]

Glad you like them! Getting the sound right is pretty tricky.

[@wintab9383]

thank you 🙏

[@themindcansee]

very nice!! THANKS FOR THE VID :)

[@evaid4436]

Thank you, this helped a lot!

[@DrNic]

Glad it helped!

[@biblequizforfun7853]

This can be used for online studies. Thank you so much!

[@DrNic]

Glad it was helpful! You can see a whole lot more listed here: creativemaths.net/videos/