Quantitative Data Analysis 101 Tutorial: Descriptive vs Inferential Statistics (With Examples)

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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2 groups compare (different / more / less): t-test 2 groups relate: Pearson's Correlation 3 or more groups: ANOVA

[@ollievale5586]

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!😁

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Impressive way of describing Stat.. Thanks

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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👍🏼

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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.

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Great suggestion!

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