Stats: Finding Cut-off Values given Standard Normal Distribution

[@stephanieguardado1933]

8 years later and I am currently using your videos to help me understand homework. Very helpful, thank you!

[@vianeycontreras6182]

Ten years later and I can say the same!!

[@沈皓娴-q3k]

You explain things so clearly and you have a calm voice. Its nice to listen to ur online class, thx !

[@eyezahbel]

University statistics without the assumed math knowledge I should have had from high school was - and still is - very daunting. This video helped me out a lot, even at 10 years old! Thanks for the video!

[@huyphan2005]

Hey man, I rarely left a comment, but you did a good job in explaining even the camera did not want to work, thanks bunches.

[@egmegm8919]

Very educative video! Brilliant explaining! I wish I had stumbled upon your videos when I took my statistics course! It would have made my life much easier! :-)

[@elisabetmoreno4360]

this video was exactly what i needed. THANK YOU!!!!!!!

[@gukansai9216]

how u find negative cut of score -2.01 ....tell me clearly

[@YeloOoszz]

you explain in very good thank you love the way you tell!

[@MelodicPatience]

Did you skip through the video? He CLEARLY shows you how to find the z-scores. If you don't draw the bell curve first, it's easy to use the wrong z-table in which to find the z-score. When all you're given is the area(s) of the bell curve, you must use a z-table to find the z-score..which is exactly what he showed us.

[@RebeccaThieme16]

This video was very helpful, thank you!

[@bomaores5146]

WAOH THIS IS VERY EASY TO UNDERSTAND. I WISH YOU ARE MY STAT TEACHER. THANK YOU SO MUCH.

[@brittanybrown2733]

Thank You So Much!!! You saved my life, you explain this so well.

[@LordJetstar97]

thank you so much this helped a lot with my stats homework

[@cheyennekuo5784]

you just save my life thank you sooooooooooo much

[@culinarygirl24]

Thank you so much! I wish my professor would explain things like you did!

[@Naturalnaturegirl122]

You are so AMAZING!!! Thank you so much this really helped.

[@wl96]

Clearly explained and presented! Thanks so much!

[@sahyoura]

Very helpful! Keep going.

[@vanessajayde]

THANK YOU SO MUCH!!

[@urAPbaby]

Does lowest/highest 2.2 means that we automatically look into the negative z table for 'lowest' and positive z table for 'highest'. Or its just that from both the positive and negative z tables we try to get the z score with the closest area to 0.022 (2.22%)?

[@catmignon8810]

thank you very much!!!! You explained so clear! Although my english is not so good, i can still understand your explantation! :)

[@AngelOfPh34r]

is there supposed to be sound in this video? And before you ask, nothing on my computer or on the player is muted....

[@empressindica]

what if we don't have that book?

[@iainelder7607]

You can download the tables from the publisher´s website. Click "Elementary Statistics" then "Formula and Table Card". wps.aw.com/aw_triola_stats_series/

[@DUDNAZTY]

Dude sounds like the guy who paints on public television LOLS. Great video though!

[@donttalktomeeee945]

you are a god

[@MsPerva]

Thanks 🌹🌹🌹

[@joesweeney3089]

Yes there is supposed to sound

[@quintinmarquardt6339]

3.50 suprise twist

[@lucykaede5863]

You deserve that ad revenue

[@karrilwarren]

This honestly left me with more questions. Why did we go from 0.222 to 2.01? You basically took five minutes to explain to me what it looks like to draw a graph featuring two cut off points. You didn't explain to me HOW DO I FIGURE OUT what those scores are. I want to learn how to figure it myself, not watch you tell me what they are and draw it on a piece of paper. Thank you for nothing.

[@mzl9292]

I don’t get this shit. I don’t have a fkin chart

[@PedroHernandez-ok4ym]

Hello can anyone help me with this problem? I. Suppose the acceptable level of contaminant in cow’s milk is 5 units per liter. Let X denote the level of contaminant in one liter of milk taken from a randomly selected cow. An inspector will take a random sample of 30 cows in your dairy and measure the level of contaminant in one liter of milk taken from each cow. If the mean (X¯) of the sample of n = 30 is bigger than the cut-off value of 5 ppm, the inspector will shut down the dairy. a. (Dairy owner’s viewpoint) Compute the probability of a forced closing by the inspector, supposing that X follows a distribution with: µ = 4.75 ppm and σ = 1 ppm? µ = 4.9 ppm and σ=1 ? µ=4.75 and σ = 2 ppm? µ=4.9 and σ = 2 ppm? b. (Inspector’s viewpoint) What cut-off value is needed, if the inspector wants to be 95% certain that the dairy is shut down whenever the true mean level of contaminant is 4.5 ppm? Compute this for n = 30, and σ = 1, then again for n = 30, and σ = 2.

[@mzl9292]

I hate math. It’s hard af for noooo reason