Using the standard Normal distribution tables, the area under the standard Normal curve corresponding to Z > –1.62 is A. 0.0044. B. 0.0526. C. 0.9474. D. 0.9956.
I get 0.9474
1 - 0.9474 = 0.0526 so B?
@lgbasallote
looks good to me, you got it
:)
oh wait, the table represents positive values of z and not negative values (just noticing this) So the answer is actually 0.9474
look @ bottom it shows how to get negs?
seems like to get a neg yo do 1- #
This table computes the area to the left of z = k (where k is positive) Since the standard normal distribution is symmetric about 0, this means P(Z > -1.62) = P(Z < 1.62) which shows us that the answer is 0.9474
1.62 = 9474 check the bottom it explains it.
A useful trick to remember is that P(Z > -k) = P(Z < k) for some number k
z 9750 = 1.96 z 250 = -1.96 :p
I see that, but the answer is still 0.9474
>(?
wolfram even confirms it http://www.wolframalpha.com/input/?i=normalcdf%28-1.62%2C10%29
look 1 above it... 0.526
since it's Z> then I gess yo'r right...
>(
no, the answer you want is in the last row of that table in wolfram alpha
so if it said z = 0.250 wold I have been correct?
where it says -1.62 < z < 10
you mean P( Z < 0.250) ?
I see this is tricky...
I'm konfused what the table is showing 4 the neg? z 9750 = 1.96 z 250 = -1.96 :??? When do we use this?
Using the standard normal distribution tables, the area under the standard Normal curve corresponding to –0.5 < Z < 1.2 is A. 0.3085. B. 0.8849. C. 0.5764. D. 0.2815. this is actally the next q :)
the 0.9750 is the area to the left of the curve, the 1.96 is the z-score so z 9750 = 1.96 means P(Z < 1.96) = 0.9750)
and what abot the neg? part? -1.96
if you have a negative, you can flip it so to speak, by using the idea that this distribution is symmetrical about 0 So that's why they're subtracting 0.9750 from 1 to get 0.0250
The rule they are using is this P(Z > -k) = P(Z < k) for some positive number k
yes thats what I was saying....
so in this case since they as x<z<y we have to select the pos value?
if it wanted z = -1.69 then we cold have bused the other one?
or shold I say Z>
not sure where you're getting -1.69
z< -1.96
oh ok
err -1.62
they buse 1.96 :P
if you wanted to find P(Z > -1.62) then you would use the trick above to get P(Z < 1.62), from there, you'd use the table
Ah I see how this i snow I had to look at it again.. So Z < 1.62 only ntil -1.62 ho...
P(Z < 1.62), wold give the same answer?
yes, P(Z > -1.62) and P(Z < 1.62) are equivalent
I mean on the table 1.62 is 1.62 doesn't matter if it's P(Z < 1.62), or P(Z < -1.62),
oh, it's positive
or does one yeild one half and the other the other half? Like the .975 and .025
so it's just P(Z < 1.62)
it's always one or the other? no Z = 1.62?
well if Z > 1.62 we have an isse
no, you can't compute the area from 1.62 to 1.62...that doesn't make any sense
what?
if you want Z > 1.62, then find Z < 1.62 and subtract that from 1
ic. os if it's above or below IC G|< Z < |G it will be 1- #?
now we are getting somewhere
in this next Q Using the standard normal distribution tables, the area under the standard Normal curve corresponding to –0.5 < Z < 1.2 is A. 0.3085. B. 0.8849. C. 0.5764. D. 0.2815. We need to do it 2x right? once 4 -0.5 and once 4 1.2? :)
or Idk since it's 1 answer.
–0.5 < Z < 1.2 is the same as –0.5 < Z and Z < 1.2
I thoght abot sing both on the table.
which turns into Z > -0.5 and Z < 1.2
0.5199 &0.8849
0.8849 = B
There might be more to this Q tho....
actally above 0.5 is
0.4801
Z < 0.5 is 0.6915
So P( Z > -0.5) = 0.6915
oh crap I looked @ 0.05 HAAHAH
0.6915 isn't there so is it B?
Now use the rule P(a < Z < b) = P(Z < b) - P(Z < a)
I was thinking that bt it woldonly be .1....?
0.1934
P(a < Z < b) = P(Z < b) - P(Z < a) P(-0.5 < Z < 1.2) = P(Z < 1.2) - P(Z < -0.5) P(-0.5 < Z < 1.2) = P(Z < 1.2) - P(Z > 0.5) P(-0.5 < Z < 1.2) = P(Z < 1.2) - [ 1 - P(Z < 0.5) ] P(-0.5 < Z < 1.2) = 0.8849 - [ 1 - 0.6915 ] P(-0.5 < Z < 1.2) = 0.8849 - [ 0.3085 ] P(-0.5 < Z < 1.2) = 0.5764
where does that 1 come bfrom?
oic why is itdiff bfrom the prev answer...?
oh I see format...
thanks :)
http://openstudy.com/study#/updates/505cf41be4b0583d5cd15dea next q's!!!! :)
yeah it's a bit messy, but you at least see all the nitty gritty details
sry i have to get going
yeah I'm glad I learned this.
Oh okay >(. I think I'm correct, no one's verifying me :(
you at least have wolfram alpha to check your work
do you know how to use it?
thanks again!! yeah I'm not sre how
calc 2 I doo, not stats..
type normalcdf(a,b) and replace 'a' and 'b' with any numbers you want (where a < b) Examples: normalcdf(1,2) computes P( 1 < Z < 2) normalcdf(-0.5,1.2) computes P( -0.5 < Z < 1.2) normalcdf(2,10) computes P( 2 < Z < 10) ...which is basically the same as P( Z > 2)
what abot mean and standard deviation?
you can either a) convert each raw score to a standard z score or b) type normalcdf(a,b,mu,sigma) which will compute P( a < X < b) with mean mu and standard deviation sigma if you leave off mu and sigma, wolfram alpha will use the default mu = 0 and sigma = 1
okay :) thanks :)
np
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