Hey there, How you can interpret the Confidence Interval... We are 95% Confident that the population mean lies in the range 4.5 to 4.8. I think this is not correct Interpretation, The appropriate interpretation that i studied is that, " we are 95% Confident that the true population parameter will occupied by ( contain) the interval 4.5 to 4.8. Because here the population parameter is not random it is fixed and here our interval is random... So how can we say that the population parameter will lie in Interval... Thank you 😊
This is where the term "sampling error" is so annoying. It is the error that is unavoidable because we have taken a sample. Poor sampling method increases "non-sampling error". This blogpost might help: creativemaths.net/blog/sampling-and-non-sampling-error/
When you use a distribution to calculate a range of values within which a value may lie, that is not a confidence interval. A confidence interval is part of statistical inference, drawing conclusions about population parameters based on information from a sample. You might like to watch some of the videos in the statistical inference playlist to get this a bit clearer. I may have misunderstood your question, so do ask again if you need to.
the difference between the two was that of "we are pretty sure" (which means there's a slight chance we could be wrong), and "we know" (which means there's no chance we could be wrong)
your videos are fantastic! so simple and easy to understand. Thank you
Glad you like them!
You are seriously curing my long held idea that Maths is incomprehensible🧡🧡🧡
I am soooo happy to hear that.
Hey there,
How you can interpret the Confidence Interval... We are 95% Confident that the population mean lies in the range 4.5 to 4.8.
I think this is not correct Interpretation,
The appropriate interpretation that i studied is that, " we are 95% Confident that the true population parameter will occupied by ( contain) the interval 4.5 to 4.8.
Because here the population parameter is not random it is fixed and here our interval is random...
So how can we say that the population parameter will lie in Interval...
Thank you 😊
That sounds like a valid clarification.
@@DrNic thank you 😊...
@@satishsutar5102 Hi Satish, Both the statements look exactly same. What is the difference?
10/10
Thanks a million for your videos....they're quite helpful. :'))
Glad you like them! well done with the 10/10
8/10. Did not understand that sampling error question(2nd one). Does poor sampling method dont increase sampling error?
This is where the term "sampling error" is so annoying. It is the error that is unavoidable because we have taken a sample. Poor sampling method increases "non-sampling error". This blogpost might help: creativemaths.net/blog/sampling-and-non-sampling-error/
@@DrNic Thank you so much Nic. You are doing a great job with these videos
Can you use any distribution when constructing confidence intervals?
When you use a distribution to calculate a range of values within which a value may lie, that is not a confidence interval. A confidence interval is part of statistical inference, drawing conclusions about population parameters based on information from a sample. You might like to watch some of the videos in the statistical inference playlist to get this a bit clearer. I may have misunderstood your question, so do ask again if you need to.
Dr Nic's Maths and fahD vvvdvStats th
4 and 5 are confusing. Aren't they same questions?
Pretty similar. It's an important concept.
the difference between the two was that of "we are pretty sure" (which means there's a slight chance we could be wrong), and "we know" (which means there's no chance we could be wrong)
thanks a zillion !!
Thanks
Great and thank you
You are most welcome
9/10
Well done!