The probabilities that a batch of 4 printers will contain 0, 1, 2, 3, and 4 defective printers are 0.4521, 0.3970, 0.1307, 0.0191, and 0.0010, respectively. Find the standard deviation for the probability distribution.
s = 1.05 s = 0.77 s = 0.71 s = 0.59
@amistre64
hmm, what we are dealing with in this case is not a normal distribution so there is a different approach to it
do you recall doing something other than a normal distribution in your course?
This is the first time i've ever taken this course :/
well, we want to determine the mean. i know how, but i need to see what your thoughts are to start with.
There is a problem that deals with I think a more "simple" version of standard devation, but I don't get most of it . x_x
Well I tried adding them all up then dividing by 5. I got a really weird decimal number.
yeah, thats not gonna work here since you dont actually have 5 points to play with, but more
More?
yep, you are given x, and the number of times it occurs in say 1000 parts
Yeah I am unsure of what to do :/
recall that the probability of something happening is calculated as: # times it occurs -------------- # of total events 0 happens: 4521 times out of 10,000 tries 1 happens: 3970 times out of 10,000 tries 2 happens: 1307 times out of 10,000 tries 3 happens: 0191 times out of 10,000 tries 4 happens: 0010 times out of 10,000 tries
there is a formula for variance of a probability distribution first find the mean, E(X). the Var = E(x^2) - E(x)^2
essentially: mean = sum of (x*p(x))
yes jayz, that is what i was heading towards
Idk. I am still confused, sorry :/.
Judach i can send you an excel, its difficult to draw a table here
I'm on a computer at school. I doubt i'd be able to receive it.
the expected value of x, noted as E(X), is the mean of the set. \[E(X)=\sum x~p(x)\] x p(x) x*p(x) 0 .4521 0 1 .3970 .3970 2 .1307 .2614 3 .0191 .0573 4 .0010 .0040 add these up
Just the right column or all of them?
nice work @amistre64
yes, we need to know the sum of the last column if you cant recall the 'shortcut' formula: then we can always do: VAR(X) = sum (x-E(X))^2
.7197 for the right column
.3970 .2614 .0573 .0040 ------ .7197 seems right to me
Then what? x_x
then we can use the process of subtracting the mean from the data points and working the process :) it simpler to do by say a ti83 or excel of you have one of them
I have a calculator available.
A TI-83
ti83 is good, do you know how to make a list?
No ;/
I know it's 2nd or Alpha, then something else.
Stat -> 1:Edit
you have a list button i believe. takes you to the lists directly. or that option may do fine
I'm at a screen that asks for type and says Xlist, Ylist under it, but I don't have a way to edit.
Nvm I have it,
What do I put in L1?
under L1, enter in your 0,1,2,3,4 under L2 put in their decimal probabilities that they give you
I have 45 mins and 5 more problems ;/
then the ti83 is your best friend if you know how to use it :)
My 0,1,2,3,4? You mean the numbers I added up to get .7197?
L1 L2 0 .4521 1 .3970 2 .1307 3 .0191 4 .0010
done
exit out to the main screen and go to your distribution menu: so: quit, and then 2nd,VARS
Ok
choose the 1-var stats in the distribution menu and enter L1,L2 (2nd 1 , 2nd 2) then hit enter ^ thats the comma key
the button right above the '7' is a list seperater that allows you to input more than one list is all
1-var? you mean the normpdf?
no. it may be under stats. been awhile :)
I have DISTR and DRAW
stats, test
Don't have a 1-var in there either.
stat, calc, 1-var
Yeah found it.
s=1.5
i cant verify that from a ti83, my batteries been dead for ages now. but yeah, that should work the process.
Alright thank you. :/ Sorry for how long this took. I am not fully clear on stand deviation even now, but thank you .
computing it takes time to learn is all. and time is something you say you havent got at the moment. in my stats1 class the teacher had us use the ti83 for simplicities sake
Yeah I don't have a teacher for this course. I have to "self teach" myself.
Gonna close this one and open up a different question. Thank you again.
good luck :)
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