21
1. Hypergeometric distribution 1.a Mean and Variance 2.Poisson distribution 2.a Mean and Variance 3.Poisson process 3.a Mean and Variance Book: Ch. 4, Sec.3, Sec. 4

2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

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Page 1: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

1.Hypergeometric distribution1.a Mean and Variance

2.Poisson distribution2.a Mean and Variance

3.Poisson process3.a Mean and Variance

Book: Ch. 4, Sec.3, Sec. 4

Page 2: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

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. 4'1>· ga ~e-o( \)vt ~ sa~l'\d JONL ..

..."-·-~~··-··-·--\ArtM?5"u.-f;- ....- l~ { '()."t..eV\1..~ve~·-:-".I"r~~'7- . _..-_..--,-" .....--_..._..__... , _._,._-,---- ',-

,,'

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~N,\ ···~~~t~ ~

.........;::N~·--~La~~~

Page 3: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is
Page 4: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

-_:~;: ~~ ~ B\~ L~z-~r~-=~~~=,,1III --------.-----

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Page 5: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

- IiiIII --~==~~~~:~~~~~--~-~-~---~=~=~==~~=~"\;l -- ~ ----ii, ---- --------+4-----.------- ! i ! ---- ---------------.------- --- ------------------------------------------------.---- ------- --- - --- ------

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-=~:-~==!tf¥p~~-~-~=t~-~-N:Il:-;Il~~-~tl)--.•...-i[-

Page 6: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

~

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Page 7: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

Hypergeometric distribution

Problem #1. A group of 10 individuals areused for a biological case study. The groupcontains

!Jl= 3 people with blood type 0, {A t ::-- (()AIz:: 4 with blood type A, and I VN.3. ::=3 with blood type B.

What is the probability that a random sampleof 5 will contain1 person with blood type 0,2 people with blood type A, and2 people with blood type B?

Page 8: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

,I .~I !I::401

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Inridi, ,

~o&{~OVt~ :.

~roe~wt' #= i. It ~OlLr of 10 :-"v.&.~1! .CV\e. u ~ for 0-

.e t 0~~ (j1t C_D. <; e- ~ +uiy~. ~ - Nt:=: ~

000 0 ,N~:::Y® (.8) ~ . N~-=3

t\l ~ 3+~+3=- l.O

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:L \iJl~

8kJ T~pe.. 0

e~, ~~A.. ~~Q d Type.. ~

Page 9: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

!II"

rrt W-.. .& r.&· {Q+'__.___ ._ ..~.__ . lA..>;>-~ ~~ _ --:rv _ ~_w l~ Yl9 .__ _\()_.~<:> '.

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Page 10: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

Problem #2. A manufacturer of automobiletires reports that among a shipment of 5000sent to a local distributor,1000 are slightly blemished.

If one purchases 10 of these tires at randomfrom the distributor, what is the probabilitythat exactly 3 are blemished?

fJ:=-~O()U

fJ :lOOO1 I

Vl =- (0

~ \~ it fJt b&- Wl~~ ~ ~ JA?(O

Page 11: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

==~-=2~-==]J~FF~~-;-~--C-Iv·-:·~:':~-N~-~I)<0& ;,~ - ~~

."-- .."--_.' - - --'_.' - - _ .. ------. - - - --- --_. - .-. -, . .-•.. - -' ._-_. ~ ... -- .. -

Page 12: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

I Prat&WI .:If: Q. N ~ Sf)DO P1U&h'tu" iSc'?-CI

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f-{':J?e. \~o i'oVL {-,( L ( N' ==-5:WO) ~ -dooO)

~ V\.-~\O

Page 13: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is
Page 14: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

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Page 15: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

Problem #3. In a certain industrial facilityaccidents occur infrequently. It is known thatthe probability of an accident on any givenday is 0.005 and accidents are independent ofeach other.

(a) What is the probability that in any givenperiod of 400 days there will be an accidenton one day?

(b) What is the probability that there are atmost three days with an accident?

Page 16: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

q~ f?eo1&m.-# 3__._. . .!?~..~~~~._., l-~

~:kt:- X = & YWtr1~ eI:-- -rrr--' -~ ---_... - -- - - .~------_.__ ._---,--_._. --_. ~-'-------' -- -_..- - - ----.----

--i-+- .. - - .__ct Cy~ d .en_I-$. cIc<rl.."nJ----·-1-+--··-- ---- ------ .--t1-=- f'-~([) .cl.o/ s_ -.. ----.-- -

,III_ .._-- -_._-_._._'---~----- ..- ---------- -.- ---_..--- ---_._-

/ aCt;:.J~ _

~i-Jj; ..'-~cc lv;;;?-j;i _ __ _ ,__ ,__,_,_ ___~ . ..."j- -_... __ .. --- -'--"-- .--

('.5 ((

t I (I'

- -:J-- ------·--··-··-.·-------{)CC l~ _.=:- ···-s-- .;'~-"f) hI ~ -- (\. (/J;,z rtda'j-~J70 ·ar;c(~-=~ i- ... ,I"rir .

----~~---- ... ,--, I

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I!l-:---~--fx-~-·B~~-(--~:::f;;;;--r~-~~~1~::_..-__:-i- -- ---- .~.;_._.- --- --- ----_.-.-_._-- _._._-----" ._-_.----- _. ----_ ...__ .. __ ._---- _ ....- -'--'-"--"- _ ... -'-'" --- ..~._- ._----- ----

, , i "f (}()- k..

- - :~lCaI-If, tx~-~=~r--!r;:~jt(;jz~J~tf~f)-:~-.-._--~------------:~-- --.-----.-.----------.------..---- -- - -.-----------·---~-~--D~7~- 2--~'-'-:--:-;1(6)0--------. -- ...._- - - ..J-~- ..- .-.,,-.,,--- .. ------ ---------- - - -.-- ... --- -.-----.-------.- .... ------.---. - .-- ---.. - -------~- .. -----·-I - -"---'---J---~t-il?tX~-lj~={Lt.I~Qj-~1JOsj J-(.-1-~YJ-f)~ ~-== 7- .---------.-----r.r-- - -..---.-.---.-------.---- __L ~ .. _._----..--...--------..-- - -..---..---.-.-----.----..--.....!

"III .1;1 .-.{4·-

Page 17: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

a(fr{)KZ'~<00

n.- f =:. 4"<9 () l<- (. 005") ".z <. ( )

Page 18: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

IIIII_. it

III,'I

n /1

_ # ri- arrl'Vae<::.

dur-c'Y/!! ~(0/ +J -

,1 >-

r -=:- ~.i- .LI ~ )./-f:-

~\(

~

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... .- .... .

~l-

Page 19: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

. . ~(r):P( 114 I )~i-d·l,-- .~t;;D-_~._..---. .. --. ... - . - .... _ .. - - _.- - .... '. .... ...• - . - - _.. ~-'---

.. --(2-): _.. ~(/Ilj-~-2 )_~gl) !,,+~~~~...~•.•""..(r

.--~: "jk ..h U~&-_ &-{- .. ctrriC/ofs" . .._-.

t~~ .ck 'sJ~Q;4h_t- - t' ~t-~l( c1 ~ 5:.

.. . (Or Srce.;;). . _. cu-e..tr\~d.£Vt t-- .-_.. . _-_. --~_._-_..._. _._-- -_.. ._._-_. --_ ...._-_.-. __ .-_.-

- _. - .. - ......--.- ... ------ -- .. - -- -----

. . FrQ •.•...(LJ--J3)J¥l~- ~fffUA-/~ '+kr.--- - '.._- _.- ...;..~. . - ----- ..... _.----_. -.. - ---.. - .. . ....

- -- ) j1/, , y... . ---7:t: ( (f/O j -- I'~~ .. _..

_. - .. ..- -- --'_._- ..... .__ ._.. - - ..~ ... _ ...... ._ ~_ .Po J5S' 0 h_f-va;;;;;; ~~'/.I.0de r-:~ ....... _. .. ---';'A -f::- _ 0+) k- ~ c\.fc-.._._- .-/t ... [·C/{ - {.}:= .' ~ ..€c-' .... -

It! _I!a~-tS- fls-::k.) :;:._.-

Page 20: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

Poisson Process

Problem #t Service calls come to a maintenancecenter according to a Poisson process and on theaverage 3 calls per minute.Find the probability that no more than 4 calls comein any minute.

What is the expected number of calls during 5minutes?

Page 21: 2.Poisson distribution 2.a Mean and Variance 3.Poisson ...stat.wvu.edu/~rmnatsak/Note9_215spr18.pdfProblem #3. In a certain industrial facility accidents occur infrequently. It is

- ~ .. ~ -. !

.... ElAS~J~~3= (~-- ----..

_ ~I0 ~~ 6(;!{) = ri<+_____ ___ d ~~

_ .. __ _ (' V1 ou.r Cfi.-Se: ...-t-~) ___..vul ;V~):: 3~s-:: (S-