Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)
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- Опубликовано: 29 июн 2024
- Learn all about quantitative data analysis in plain, easy-to-understand lingo. We explain what quantitative data analysis is, when to use it, the two main branches of quantitative analysis (descriptive statistics and inferential statistics), and how to choose the best quantitative data analysis methods for your specific research.
Quantitative Analysis 101: Overview
00:00 Introduction
01:34 Quantitative Data Analysis 101
02:27 What exactly is quantitative data analysis
03:19 What is quantitative data analysis used for
05:05 The two branches of quantitative data analysis
07:52 Descriptive Statistics 101
08:51 Mean (average)
09:00 Median
09:22 Mode
09:28 Standard deviation
09:57 Skewness
10:25 Example of descriptives
14:18 Inferential Statistics 101
16:44 T-tests
17:31 ANOVA
17:54 Correlation analysis
18:31 Regression analysis
19:14 Example of inferential statistics
20:39 How to choose the right quantitative analysis methods
25:13 Recap
KEY RESOURCES:
FREE WEBINAR: Research Methodology Basics - bit.ly/3ObFMCR
COMPANION POST: Quant Methods 101 - gradcoach.com/quantitative-da...
ONLINE COURSE: Research Methodology Bootcamp - bit.ly/3NOV2nM
1-ON-1 COACHING: Free Consultation - bit.ly/3OmgoKR
ADDITIONAL RESOURCES:
Descriptive statistics 101 - • Descriptive Statistics...
Inferential statistics 101 - • Inferential Statistics...
Qualitative vs quantitative approaches - gradcoach.com/choose-research...
Research design options (qualitative and quantitative) - gradcoach.com/research-design/
Sampling methods - gradcoach.com/sampling-methods/
Nominal, ordinal, interval and ratio data - gradcoach.com/nominal-ordinal...
Descriptive Statistics 101 - • Descriptive Statistics...
Writing up quantitative results - gradcoach.com/quantitative-re...
Choosing the right statistical method - stats.idre.ucla.edu/other/mul...
The Grad Coach blog - gradcoach.com/blog/
If you have any questions about quantitative data analysis, leave a comment below. Also, leave a comment if you’d like to request a video about a specific quantitative data analysis method.
For 1-on-1 private help with your quantitative data analysis, check out our coaching services at gradcoach.com.
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Can I just say, the presenter is really engaging, she has the right tone and the volume which immediately grabs a listener's attention. Also she is well executing her body language, facial expression, and eye movement. This is a great content.
I have been lost writing my dissertation as a "mature" student and really was about to give up when I found this video that put it all into perspective for me! Thank you!😁
Thanks a lot for what you are doing. Your program has really provided an avenue for my beginin to clearly understand key aspects of research. My major challenge in research has been statistical data analysis and reporting. I believe I can now learn better from you. Thanks a lot for what you are doing to many people in the globe. I will always be your friend and a beneficiary as well. Cheers - Daniel, Uganda
The best teacher I have ever listened to. Thanks for sharing these videos. I have been trying to study stats for years but never learned like this.
You guys are doing a great job! Thank you for all the info you're providing us with! :)
Our pleasure! Thanks for the feedback.
You guys are describing this brilliantly - I came here to refresh my stats for an interview after having worked in research for a few years and you're making concepts that used to be a mystery very clear and accessible. Thank you very much!
Glad it was helpful!
Very true. Your delivery was really helpful though it is imp I listen to it over again
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Thank you. Your videos actually bring home the technicalities that scare one from research. You make it sound easy. I will like to book a one on one session. I am from Nigeria.
You're most welcome :)
I really appreciate this tutorial programme. Thanks Emma
,❤
I was looking for a tutorial about data analysis and I happened to see this. THIS really painted a clear picture about the complexities in choosing the "right method" in analyzing my data! I really appreciate this! Thanks!
Glad it was helpful :)
Thank you so much! Really enjoy the key takeaways, their simplicity and assertiveness. Also how you keep me engage throughout the explanation, without tiring me, because of the eloquence.
Good Job Emma & Grad Coach!
Absolutely true.
Love this video. It truly help me a lot in understanding the quantitative analysis. You did a very comprehensive explanation. Thanks a lot.
Thanks, you're welcome.
This is so well done! Thank you for pulling this presentation together.
I would love another video like this going deeper into quantitative stats.
This is the most helpful introduction video on this topic. Thank you!
Have been tirelessly looking around for such a top quality presentation on qualitative data analysis and you guys made it. Thanks so much for this work and we pray you keep giving us such on key point tutorials.
Our pleasure!
❤ this. I’m new to stats and have been watching to learn. Such a great help and well taught. Thank you for being my grad coach! 😊
I am currently taking the class Quantitative Research Methods in my final year of my Masters proram and you explained everything in a simple way that helped me understand what a 200+ page text book and my lecturer wasn't able to.
You are indeed the best! Thank you for all the info; l am sure millions of students will benefit from this work.
Thanks for this brilliant, succinct and engaging presentation. You made it sound very easy which is a good start 👍👍👌👌
I WAS TRYING TO MAKE CONNECTIONS, WAS THINKING A LOT HOW THINGS ARE RELATED TO EACH OTHER, WAS TRYING TO JUST MAKE SENSE OF IT ALL. ALL GOT STREAMLINED AFTER CLICKING THE THUMBNAIL OF THIS VIDEO.
A BIG THANK YOU TO THE WHOLE TEAM OF GRAD COACH.
♥
You are heroes. Thank you for the wonderful explanation. God bless you.
Brilliant description of a huge and important topic. Thank you for the effort you paid to research, and present this beautiful topic. RECOMMENDED!!
I last studied statistics in 1976. I'm not ready to get into a stats book with all of its theory and formulas. This is a great way to get back into it. 😃
Thank you so much for this amazing tutorial. Tomorrow is my interview for the position of Data Analyst, this video really helped in preparing for it!
Thanks for the awesome content:"). Great explanation especially with the cake theory! I would appreciate videos of real world examples of quantitaive analysis, right from choosing the data till answering the research question/hypothesis. That would make it full circle.
Great suggestion!
Awesome loved this and for the first time I understand what Quantitative Data Analysis is. Thank you❤️
Excellent. You truly demystified it.. Thank you.
It is simply clear and understandable. Thank you.. I now understand fully those concepts.
That's definitely the clearest video on statistics on RUclips. Thank u sooo much
Glad it was helpful!
This was quite helpful to introduce this subject for me. Thank you!
Quite educating indeed! One of the assumptions of ANOVA involves the use of Quantitative data, but somehow I have seen few individuals applying One-way ANOVA on LIKERT scale data. I will truly love to see ur tutorial on when to use ANOVA exactly in research.... THANKS, best wishes👍🏼
You're welcome. Thanks for the suggestion.
Many many thanks! You demystify complex concepts
i have been trying to actively learn statistics even tried some paid courses without much gaining. Finally i found just the right video. Thank you very much. Much appreciated.
It's a shame this channel has about 83k subscribers only. It should receive way more subs. Great contents.
Thank you so much! Very helpful...I learned a lot from this video.
This is fantastic! Thank you so much for this great presentation and illustrations.
this is really great content i get the picture of what statistics is about now. i'd love for you to talk more on situations that use both statistical methods
Truly, I just love the presentation and content on grad coach TV. It's really satisfying. Kudos to the whole team.
Much appreciated!
Thank you so much Grad Coach👏🤝. I binged watched your videos during my final semester and got a first class on my dissertation🔥.
This is very insightful, well described and thought-provoking. Thanks a lot!!!!
Fantastic approach ! Please keep on with the good work!
The pitch, pace and delivery are excellent.
Thanks for this
Thank you for making something that seemed very complex much easier to understand.
Thanks for this amazing content, It will be really nice to throw more light on Inferential statistics data reporting. Kudos
More to come!
This presentation is so helpful. The material that I have struggled with for a long time has been made easy in this presentation. Thank you for clearly explaining questions associated with quantitative data analysis.
Great to hear that. Glad it helped.
This video helps me a lot for my coming reporting about Descriptive statistics
thankyou so much it was very simple , precised and amazing cleared all my confusion as i got stucked and confused in my M.phil thesis . keep it up.
Thank you a mil for posting so insightful and valuable videos that help us a lot in writing the dissertation.
You're most welcome.
This video is amazingggggg… I am mid way writing my doctoral study and was incredibly confused until I watched it. To everyone who participated in the making if this awesome video, thank you 🙏
Glad it was helpful!
Thank you for creating such a helpful video!! First one that I've found that made this actually make sense!!
Glad it was helpful!
It totally helped me to have an in-depth understanding on the Methodology Chapter 3(quantitative type of research).Like the way you had explained. Really clear, simple and easy to understand. TQ for sharing such valuable knowledge.
Glad it helped!
Thank you, this was very clear and easy to understand, much better than my textbook!
Glad it helped!
Instructive, simple, and apt. Thank you
Glad it was helpful!
Thanks a lot for this video! I've been a fan of Grad Coach since I started my thesis journey. I especially love Emma! I enjoy watching her explain the most complex concepts into something more understandable. Thanks for explaining Quanti data analysis. It doesn't sound too Greek anymore! :D
This is so amazing. I am working on my Dissertation and this is very useful.
FREE WEBINAR: Research Methodology Basics - bit.ly/3ObFMCR
FREE EXPLAINER: Writing Up Quant Results - bit.ly/46ZG1bF
ONLINE COURSE: Research Methodology Bootcamp - bit.ly/3NOV2nM
1-ON-1 COACHING: Free Consultation - bit.ly/3OmgoKR
Thanks, Emma please may I know whether I should just copy the secondary data I am relying upon and put it on excel? Thanks.
Can you help me...l need some advice please
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The best Videos I have ever seen explaining the research methods and analysis
I tried the 1 on 1 help on grad coach and it’s saying it’s not available in my country. That is Nigeria pls help.
thank you for helping me to studying quantitative research. this video is very understanable!
this is what i was searching. Thank you so much for such a beautiful explanations.
Glad it was helpful!
Thank you so much! I am doing an Msc in Uni and this is super helpful to my module!
It is beautiful way to guide the research students to analyse the data. That is great
Thank you :)
Excellent way of communication and teaching
Thank you for your beautiful explanation... very interesting and educative...
Clear and interesting! Thank you!
Glad to hear that
Thank you Grad Coach. Im still learning. Great content.
Its really very helpful and easily understandable, Kudos to you !!!Thank you again from africa
Wow!!! Thank you so much, Feeling very confident now.
Thanks alot.You have really helped me to understand🙏
Thank you for making this so simple.
Best summary on this topic on RUclips! Thanks ❤
Glad it was helpful!
Impressive way of describing Stat.. Thanks
Very informative and useful 🙏
Thanks very much. You have helped me a lot and I can now understand what to take in my research
Great to hear!
LOVING THIS TEACHER...
Amazing work, can't get enough. Keep it up
Thanks, will do!
I enjoyed the lectures, very wonderful explanation
Very well explained and comprehensive. I hope you could also give ensights on what is Path Analysis and how to go about it. Thank you!
Thanks for the feedback and suggestion!
You guys have really helped me demystify the descriptive and predictive analysis exceptionally the application. Kudos!. The presenter also did a brilliant job, she is cool
Our pleasure!
thumps up, the video was very insightful and has contributed a lot to my understanding of quantitative data analysis l really appreciate
Very well presented. Thank you.
Thank you so much for these videos, this one is based exactly on my current Quantitative data analysis assignment ....things are becoming clearer after watching this video....i got so dizzy going through my study guide 😂
That was one awesome explanation😲 Thanks so much❤️
You're so welcome!
This was awesome! Could you guys create a video on descriptive and analytical cross sectional studies? would be of great help, anyway you are already doing a great job!
Great suggestion!
This was so helpful, wonderful explanations, good job!
Glad it was helpful!
Waw I have really learned a lot from this tutorial my dear thanks you have helped me to understand what I did not know before
great delivery of information about statistics!
Glad it was helpful!
Thank you for your videos.. It is really helpful..
Nice explanation, thank you!
You make research method so easy to understand. Thanks Emma
My pleasure!
What you are doing is so great thanks
your skills in coaching this is incredible .
Thank you so much 😊
Great lecture! Thanks Emma
Very, very helpful! Thank you!
Glad it was helpful!
clear explanation thank you very much..
Thank you! Awesome sharing!
Our pleasure!
Great job!
So good! Thank you!
Will be helpful for my current Master Thesis. tnx
woooow demystified everything. looks and sounds understandable.
Since english is not my native language, I'm glad to find a lesson with so good diction!! Thank you!
You're very welcome!
amazing video,thank you
Thanks alot for the lectures I have learnt something big especially on sample and population