Descriptive Statistics 101: 6 Things You NEED TO DO (With Examples) 📋
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- Опубликовано: 15 июл 2024
- Learn about descriptive statistics with loads of practical examples. In this video, David Phair (PhD) and Kerryn Warren (PhD) explain the basics of descriptive statistics. They share 6 time-saving tips and tricks to help you ace the descriptive statistics section of your dissertation, thesis, or research project. With plenty of practical examples, this video is perfect for new researchers that want to get their descriptive statistics right.
OVERVIEW: Descriptive Stats 101
00:00 Intro & overview
01:05 - #1: Don't _______ on the descriptive statistics section
04:49 - #2: Make sure you understand ________
09:00 - #3: Use _______ to understand your data
13:03 - #4: Pay careful attention to __________
17:57 - #5: Always investigate the __________
21:32 - #6: Invest some time in __________
29:08 - Recap & outro
Suggested Resources
~ Inferential statistics 101 (video): • Inferential Statistics...
~ Quantitative data analysis 101 (video) - gradcoach.com/quantitative-da...
~ How to write the quantitative results chapter (video) - gradcoach.com/quantitative-re...
To learn more about descriptive and inferential statistics, as well as quantitative analysis in general, visit the Grad Coach blog at gradcoach.com/blog/ and the RUclips channel @GradCoach
Need Help?
If you need a helping hand with your quantitative analysis (whether that involves descriptive or inferential statistics), check out Grad Coach's 1:1 private coaching service at gradcoach.com/dissertation-co....
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THANK YOU FOR THESE TYPE OF SESSIONS TO THE WHOLE GRAD COACH TEAM.
Very useful and easy to understand, thank you so much
David 😌🙌🏾
My Coach 🎉
Thank you i always watch your videos your videos helped me to understand many complex ideas
Glad to hear that
Thanks for your educational video, I have a question I wrote on writing by the research results section but is that important all variables to describe
Thank you , you simplify things for me.😍
You’re welcome 😊
Thank you 💕
You’re welcome 😊
Thanks for Useful topic
Welcome
please I need your help