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Samenvatting QRM 2 + quiz! QRM2 (E_EBE2_QRM2) $6.67
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Samenvatting QRM 2 + quiz! QRM2 (E_EBE2_QRM2)

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Een samenvatting van alle stof die je nodig hebt voor het tentamen, ook staan alle onderwerpen van de wekelijkse quiz erin. Doormiddel van deze samenvatting heb ik gemiddeld een 7,5 gehaald voor de quiz!

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  • February 22, 2023
  • 30
  • 2022/2023
  • Summary
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QRM 2
Samenvatting
Ordinal, nominal, interval op Ratio:




B




Continuous, discrete
categorical.
or




5.
Mean: Quantiles:
quantile Q P25 X (0,25 (n +1))
First
sample. =
=




third quartile ab
p75=x(0,75 (n+11)
=




population:
Box plots:


Standard deviation:
Sample:

population. Te
Median:
odd: Geometric
x
n mean:

n even:
G MXz....
=


Xn




↳Range
inde trimmed
↳ mean but
mean

2
skipping highest and
lowest valkes.
Variance:
x)
1, standard deviation:
Se =


(Xi -




S U5
=

, Inter Coefficient of
quaktile Range variation:

cu
=
IQR Q3 Q
=
-




Skewness:
Combinatie/permutatie:


skewed Left skewed
Right


Venn
diagram: P(A(B)
B
=




PCB(A)
B
=




->
Bayes




Binomial distribution:
(x)
E
njCE(,xi)
=
=




Variance -
Var (x)
njt(1-j)
=




(=Var ( Xi)
pCXin, s)
PDF
- 5.Cl-j)
x):


CDF -F(X: n,j) P(k:n,j)
=

, Venn
diagram independent or
mutually
exclusive




Contingency table: Independento r dependent:
Independent:p(A1B) p(A)
= fok p(B) >o



p(AnB) p(A) p(BL
5 on: =




Wp() (p(B)
24) pch(B)
7




=
= =




PCB)

pctnB) pcal. p(B)
=
= A and B

ake independent.


quiz onderwerpen:binomial distributions, measures spread
for and
centrality
conditional
probability and expected values.
Measures for
centuality:
-
mean
-

Median
-Mode

Midkange
-




-


Geometaic mean
-
trimmed mean


Measures fok spread:
Range
-




-




Sample variance

sample standard
-




deviation
-


coefficient of
variation
-

Mean absolute
deviation

Rinomial
I
distribution:
x)
x

p(x
n
-




5)
x!*(
=
-




-




Voorbeeld b

, conditional
probability:
↳ denoted
PCAl B)
p(AB) B)
=
for pcBs




General law of
multiplication:p(AnB) p(A/B)p(B)
=




Expected values:
the of
sum

measure
all
of center.
X-values
weighted by their respective probabilities. It is a



the formula:
E(X) p =



[x,p(xi)
=




i1
=




the because
expected
different
value

probabilities.
is the
weighted
Because it is
average outcomes can have
E(x)
average, usually call
an we

and the
use
symbol Mr.

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