A manufacturer received an order of 210 computer chips. Unfortunately, 10 of the chips are defected. To test the shipment, a quality-control engineer randomly selects 24 chips from the box of 210 and tests them. The random variable X represents the number of defective chips in the sample. What is the probability of obtaining 5 defective chips? What is the probability of obtaining 3 defective chips? What is the probability that the QC engineer will not find any defective chips? Probability of finding 13 defective chips? How many defective chips would you expect to select?
@jim_thompson5910 last one i need help with!
well right off the bat, I can answer "Probability of finding 13 defective chips?" without having to do any math at all really do you see what I mean? or no?
yeah that one is 0 right?
since theres only 12?
good, it's impossible since there are only 10 defective chips
or 10 i mean
i've tried everything to find the others and im stumped :/
let me think on those
no problem!
what kind of calculator do you have?
TI-84
ok we'll have to rely on the nCr function do you know how to find that?
yes!
have you learned about the hypergeometric distribution?
no :/
That distribution relies on the nCr formula
we pick a sample of 24 chips
in this sample, we want to know the probability of having exactly 5 bad chips
There are 10 bad chips overall So there are 10 C 5 ways to pick 5 bad chips. We won't calculate 10 C 5 since we'll let the calculator do this for us
so i got 252?
our sample size is 24 if we allot 5 spaces for the bad chips, we have 24 - 5 = 19 spaces for good chips
There are 210 - 10 = 200 good chips so there are 200 C 19 ways to pick 19 good chips (from a pool of 200) if you were to calculate 200 C 19 you'll get a very large number
put together, there are (10 C 5)*(200 C 19) ways to pick 5 bad chips AND 19 good chips
this is out of 214 C 24 ways to pick 24 chips total
so in your calculator, you will type this in ( (10 nCr 5)*(200 nCr 19) )/( 214 nCr 24 )
i got .00125
oh sry, not 214, 210
fixed ( (10 nCr 5)*(200 nCr 19) )/( 210 nCr 24 )
oh okay now i got .002019
here's what I get
and you got the same
is the next the same just substitute 3 for 5?
for the next part, you are changing the "5 bad chips" to "3 bad chips" so you'll have ( (10 nCr 3)*(200 nCr 21) )/( 210 nCr 24 )
the 5 changed to 3 the 19 changed to 21
also I recommend you read this page http://staffwww.fullcoll.edu/kchang/MATH%20120%20Primavera%202012/6.4_HypergeometricProbability.pdf as it has some other examples on the hypergeometric distribution
.0746?
getting the same
thanks i will!
for part c, you'll have 0 defective chips in the sample so you'll have ( (10 nCr 0)*(200 nCr 24) )/( 210 nCr 24 )
.28875?
same
part d is already done
sweet! just one more :)
part e will require the formula in the blue box on page 5 http://staffwww.fullcoll.edu/kchang/MATH%20120%20Primavera%202012/6.4_HypergeometricProbability.pdf
the first formula in that box
okay i see it
n = 24 (sample size) k = 10 (number of defective chips...ie number of "successes") N = 210 (overall population size)
.9842? @jim_thompson5910
nope
use the n*k/N formula
ah i was hoping i got it right after all that
oh 1.14?
@jim_thompson5910
n*k/N = 24*10/210 = 240/210 = 1.142857 so you are correct
thank you so much Jim! i know it was a lot but i appreciate it so much
sure thing
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