How To...Calculate the Confidence Interval for a Sample

Use Confidence Intervals to determine a best estimate of the range of a population mean based on the sample mean. A 95% Confidence Interval will be correct 95% of the time.

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My teacher who was trying to teach us this content had over an hours' worth of content that still failed to accurately explain how to do this, your video was so much more helpful, thank you!

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You really the man

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[@michaelpappas3857]

Thank you Dr. O'Loughlin! Wonderfully clear explanation.

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Thank you, your videos are excellent, it makes so much difference when you work by hand and explain why and how.

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This was soooo helpful! Thank you for posting it. I was so easy to follow

[@Livia.S]

I had no clue on how to calculate this but after watching this video I can confidently say I will never fail this.

[@khushbusubba1144]

Your so cool, professor Eugene! love your teaching method, it's so easy to learn from you. Thank you so much. Respect.

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Your video was an excellent review - simple and succinct --- thank you!!!

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I thank you for making it so easy to understand.

[@ripbellx]

sir, you are a godsend. thank you so much for the informative but brief video!

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One of the clearest explanation!

[@celinemary2914]

I've learnt about finding confidence level after watching your video.

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This has been so confusing and you made it so easy. Thanks!

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Thank you very much Professor Eugene!!

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I watch this always if i forgot how to calculate lol ty dude btw

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thank you so so much

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Amazingly explained - Thank you!

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this video REALLY helped thx

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This video was so so helpful youre the best

[@thilankavithanage1891]

That was very clear. Thank you.

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Great video and came in right on time! Let me see if I can get the right answers now.

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This is helpful . Thanks professor for this video . Comment is from Pakistan

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great video and easy to follow!

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thank you so much for the help friend

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watching stationary calculations is so satisfactory :)

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phenomenal

[@kaylakai]

very useful, explained very well, thank you!!!!!

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great narration thank you

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Very clear explanation. Thanks

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So concise.

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Why'd you make it so easy, and why does my teacher make this so freakin hard

[@zachhutchison5574]

your voice reminds me of the youtuber great scott, good video though very easy to follow

[@bigseekersb]

I've seen other sources that state you can't estimate the mean with such a small sample size (n=14) unless you already know the original population data is normally distributed. That requirement was not mentioned anywhere in this video.

[@diminarchy]

Isnt the t distribution for that? Wouldnt it be a z value for n>30 (im genuinely confused so pls weigh in lol)

[@jabbedcrab]

@@diminarchy yes, that’s the exact reason why we use t-dist. We also don’t use T If we are given the population standard deviation.

[@kellystratton-kretschmar69]

WHOA! Thank You!

[@theearthling8178]

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[@Lauren-mq8nm]

I'll try this today

[@Rawennnnn]

Really helpful! How to calculate confidence intervals of variance (n under 30)?

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I feel like I am not learning much in my current statistics class. CZcams has become my new professor and the only way I am understanding it which is sad. 😢

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Amazing!

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Thank you Sir!

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Bless you

[@vialeyrichards4244]

very good job sir

[@jeenjoy7358]

what if your degrees of freedom is 199? how do we find the values there?

[@liteanawaidai]

Thank you so much Sir

[@thinkingahead6750]

Thank you that was very clear. I am trying to understand what it means when someone says something like "that is one standard deviation out" when talking about outliers in a population. I heard it in relation to the distribution of IQ results and the challenges faced by people with an IQ at a certain (low) level?

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Simple and best

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ty

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Thank you

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Awesome

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[@celinemary2914]

Compute for the minimum sample size using an appropriate formula. Assume that no similar study has been previously done and that the level of variability is unknown. Use 2% level of precision and 90% level of confidence. Could you please explain this to me sir!

[@Graanvlok]

Why do we indicate the t values on the curve? Shouldn't we be indicating the upper and lower limits (i.e. in this case 992.95 and 999.47) there instead?

[@alleahshane3345]

what if it is not mean but a sample space, the sample space cannot be seen in degree of freedom. which is 47

[@aditya._.d3shmukh]

very helpful!

[@viktormaximiliandistaturus7660]

good, so now i know how to calculate it, BUT why is it called confidence interval? it is just taking properties of my limited sample and multiplying it with bell curve properties to simulate that my data somehow magically is enough data so that i can reliably tell me by adding normal distribution properties mechanics, that it can tell me the chance that the populatin mean lies between these 2 values. sounds pretty daring. i have no clue yet ehy this works or should be true, and under which circumstances.