@Harleybabe95667 Each table, in the back of your book is slightly different. What your table is telling you is all the area of the bell curve to the left of z = 1. This means that the area between the mean and 1 is .8413 - .5000. .5000 is the area from the mean to the far left side of the curve.
@Harleybabe95667 Each table, in the back of your book is slightly different. What your table is telling you is all the area of the bell curve to the left of z = 1. This means that the area between the mean and 1 is .8413 - .5000. .5000 is the area from the mean to the far left side of the curve.
@Harleybabe95667 I know this stuff can be really frustrating, so I created a video "Understanding Normalized Tables" I can't seem to add a link, but you can see my video on my channel statisticsfun.
@leotakesleo you have to solve for the sample mean. The equation is z score = (sample mean (x) - population mean (u) )/standard deviation. It may be easiest to start with a z score of 4 and work backwards. So if I divide up 0 to 4 at .5 then I will get 8 intervals. The z scores become (.5, 1, 1.5, 2, 2.5, 3, 3.5, 4). Now solve for the sample mean at each z score.
There is a table in the back of your book usually called a normalized table or a normal probabilities. .34 is the area between the mean and 1 standard deviation away. z scores are standard deviations. So 1 z score is 1 standard deviation away.
@whitedaisez I know this stuff can be really frustrating. I created a video on my channel statisticsfun "Understanding Normalized Tables" that would help you. I can't seem to add a link to the video.
simple!
lajane123 4 days ago
when I look at my z table I see a value of 0.8413 for 1, not .34 which the last person saw as well. for -1 I see a value of 0.1587, very confused!
Harleybabe95667 2 weeks ago
@Harleybabe95667 Each table, in the back of your book is slightly different. What your table is telling you is all the area of the bell curve to the left of z = 1. This means that the area between the mean and 1 is .8413 - .5000. .5000 is the area from the mean to the far left side of the curve.
statisticsfun 1 week ago
@Harleybabe95667 Each table, in the back of your book is slightly different. What your table is telling you is all the area of the bell curve to the left of z = 1. This means that the area between the mean and 1 is .8413 - .5000. .5000 is the area from the mean to the far left side of the curve.
statisticsfun 1 week ago
@Harleybabe95667 I know this stuff can be really frustrating, so I created a video "Understanding Normalized Tables" I can't seem to add a link, but you can see my video on my channel statisticsfun.
statisticsfun 1 week ago
BEST VIDEO. very clear. THANK, YOUUU!!!
Brandonality 3 months ago
My left ear is lonely
OvoJeGovno 4 months ago
plz i need to know if mean is 2 and standard deviation is 0.2 then how we can get the z values for 8 intervals each with 1/8 gap.
in other others im given probabilities and i need to find z score...from table!
leotakesleo 4 months ago
@leotakesleo you have to solve for the sample mean. The equation is z score = (sample mean (x) - population mean (u) )/standard deviation. It may be easiest to start with a z score of 4 and work backwards. So if I divide up 0 to 4 at .5 then I will get 8 intervals. The z scores become (.5, 1, 1.5, 2, 2.5, 3, 3.5, 4). Now solve for the sample mean at each z score.
.5 = (x - 2)/.2 ; x = 2.1
1 = (x -2)/.2 ; x - 2.2
1.5 = (x-2)/2 ; x =2.3
and so it goes....
statisticsfun 4 months ago
I have problem: my mean is 500 and the standard deviation is 100, and trying find where the percentage falls above 550...i dont understand
memphisdime88 9 months ago
simple and clear... sooo useful. Thankyou very very much. x
TimmysMummy 9 months ago
right speaker
namanp 1 year ago
under 1 in my z score table has 0.8s not 0.3s. can someone plz help. nobody explains how to get this 0.34!
whitedaisez 1 year ago
@whitedaisez
There is a table in the back of your book usually called a normalized table or a normal probabilities. .34 is the area between the mean and 1 standard deviation away. z scores are standard deviations. So 1 z score is 1 standard deviation away.
statisticsfun 1 year ago
@whitedaisez I know this stuff can be really frustrating. I created a video on my channel statisticsfun "Understanding Normalized Tables" that would help you. I can't seem to add a link to the video.
statisticsfun 1 week ago
Thank you
PunoDeTierra 1 year ago
this was easier to understand than hearing my prof explain it
andreaj6 2 years ago
Thanks that was great :)
rbd7 2 years ago
it has been said before, but brilliant
thank you so much
brashboy0403 2 years ago
This is the most straight forward version of this I've seen. No b.s. and no hard to understand accents
shun236 2 years ago
Thank you, thank you, thank you!!!
lisaisbizness 2 years ago
thanks
daddylench 2 years ago
thanks dude!
DontTouchMyMilk 2 years ago
Super!
PrayersforMJackson 2 years ago
Brilliant, sir. Thanks a lot.
shibamatachick 2 years ago