Standardized Exp(1) N(0, 1) Standardized Exp(1) - N(0, 1) 30 35 40 45 50 In this quuton , the mill phow you Kurtoris mumal sandom of vauahles ii 3, naing facte you learned in Arme phra dass id drypose X, Y N CHIE?) • What i he demuty q W. of uthat is the name or thia P ror e What in the denuty S= R ? dutribution ? not req provide the name ard the g this dutribition Proop ii mt requred thow that ESe=8 show that E ( I-" )"= 3 (Hiant tapund s q me the un depent parcmeter -

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.7: Distinguishable Permutations And Combinations
Problem 30E
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The figure and problems are in the second photo. Answer correctly.
Standardized Exp(1)
N(0, 1)
Standardized Exp(1)
N(0, 1)
30
35
40
50
In this
queiton ,
mill phon
you
armal pandon
the
Kurtoris
of
vauahles i
3. naing Atne
thra lass
facte you learned in
What i the demety q.
and
of
uthat u the name o this
dutribution ?
P roor u
, Mhat n the denuty of s :R²?
provide the rame ard the
rot
reg .
parameter
7 thii dutribition
nat regured
' thow that Ese=8
• thow that E (I_")*- 3
(Hunt tapand s G ume the wn depent
P rog ui
Oc0o szoo ozoO GI00 OL00 00 0
Transcribed Image Text:Standardized Exp(1) N(0, 1) Standardized Exp(1) N(0, 1) 30 35 40 50 In this queiton , mill phon you armal pandon the Kurtoris of vauahles i 3. naing Atne thra lass facte you learned in What i the demety q. and of uthat u the name o this dutribution ? P roor u , Mhat n the denuty of s :R²? provide the rame ard the rot reg . parameter 7 thii dutribition nat regured ' thow that Ese=8 • thow that E (I_")*- 3 (Hunt tapand s G ume the wn depent P rog ui Oc0o szoo ozoO GI00 OL00 00 0
Varian ee
%3D
M= EX) tille you how far the
dutribution is
ypre ad cut 4
from ite
eumilardy,
EL(X -M)%/o4] which i called
me an
Kurtasis, jalle you
the tail oy youn dutribution
is: We
how
hiavry
ditrebation
distribution
lay
he aury tail 4 ite
denity is selatirely jarge
on ihe paints that re far seway
a
Las
a
from the me an ·
For example,
Kurt asu
vari able and mumai
sin jie
experential
random
random
V aru akli are
6 and 3
rape clinely' on fact expenentiai
dstribution Yuae heaire ar
dril
than
hommal
random
you
Cin see
the
figune
Transcribed Image Text:Varian ee %3D M= EX) tille you how far the dutribution is ypre ad cut 4 from ite eumilardy, EL(X -M)%/o4] which i called me an Kurtasis, jalle you the tail oy youn dutribution is: We how hiavry ditrebation distribution lay he aury tail 4 ite denity is selatirely jarge on ihe paints that re far seway a Las a from the me an · For example, Kurt asu vari able and mumai sin jie experential random random V aru akli are 6 and 3 rape clinely' on fact expenentiai dstribution Yuae heaire ar dril than hommal random you Cin see the figune
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