What are confidence intervals? Actually.

1:01 Intuition
4:46 How are they calculated
14:28 Confidence interval examples
18:50 Frequentist vs Bayesian

ERRATA: The confidence interval created for the population proportion at 13:51 should be 0.03 to 0.21.

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[vblaster]

Your content and intuitive approach is seriously life-changing, statistics went from this impossible to understand enigma to something I actually enjoy and dedicate time to learn in my spare time. I would love to see your approach to real world statistical problems (as you alluded to in your previous comment) if you ever get around to it!

[ryanmills]

Thank you so much, Justin! As a father of 2 working full time and going to college, your videos have made my understanding of statistics go from impossible to manageable.

[prathameshmahankal]

You are seriously amazing. Can't thank you enough for putting out this content!

[leogaussbell]

I just keep adding your videos to my playlists, amazing work.

[abdelrahmanfarag]

Brilliant, I watched many videos to understand what those figures mean, and you are the 1st one that explains it for me.

[weston.weston]

Hi Justin,
This course is invaluable, so glad I stumbled upon it this week. I need this content in preparation for a role I will be taking on in the near future.

Thank you so much.

[jesseherbert]

Outstanding. As an instructor, I will be sharing this in class. I expect my students will find more of your material of value as well. Cheers!

[BrunettePanther]

Thank you so much. I have been swimming in the formulas all semester. I'm three minutes in and when you explain without any maths it helps make so much sense. I need more people to teach maths this way instead of leaving us drowning in the formulas and problems.

[fares]

Thank you Justin .. always waiting for your new videos 💪🏻

[warpiwarpi]

22:27 Thanks for great explanation of the fundamental misunderstanding of confidence interval. This describes this perfectly!

[pillar]

Thank you. I particularly liked how you showed how to interpret published data in text and visual form.

[mojopin]

As an aspiring data analyst-I found your channel to be inspirational. Thank you

[dsd]

Thanks so much man, you are a genius. I do love your content, teaching style and explanation. Such a talented teacher.

[Popularasian]

great choice of examples and well-explained, thankyou!

[michaelpappas]

Excellent, very accessible explanations! Thank you!

[ktmagar]

You are awesome, Zedstatistics. Thankyou for all the lessons, :)

[jishanzaman]

This channel deserves more than a million subscribers!!... Go ahead sir❤️❤️❤️

[juliecongress]

Clever and user friendly. Glad I found you!

[weston.weston]

This was VERY helpful, thank you, Justin!

[ikartikthakur]

You just hit the spot with your explanations. super thanks