- Enumeration and equiprobability (7 exercices)
- Adequation of a probability distribution (4 exercices)
- Other draws: successive with discount (1 exercice)
- Other draws: successive without discount (1 exercice)
- Other draws: simultaneous (3 exercices)
- Other prints (4 exercices)
Diviseursde240Multiplesde10Diviseursde2Diviseursde5240120806040302010××××××××
E.135
Part
A
1
Determine
the
20
positive
divisors
of
240.
2
In
the
table
below,
among
these
20
in-tegers
arranged
in
ascending
order,
we
have
ticked
the
multiples
of
10
Reproduce
and
complete
the
table,
ticking
the
multiples
of
2
and
5
Part
B
We
study
the
random
event
of
randomly
drawing
a
number
from
the
20
divisors
of
240.
1
What
is
the
probability
of
drawing
the
number
2?
the
number
7?
2
Consider
the
following
events
:
A
:
ˇWe
draw
a
multiple
of
10ı
B
:
ˇWe
draw
a
multiple
of
2ı
C
:
ˇWe
draw
a
multiple
of
5ı
Determine
the
probabilities
P
(
A
)
,
P
(
B
)
and
P
(
C
)
of
the
events
A
,
B
,
C
.
3
This
random
event
is
repeated
four
times
in
succession
under
the
same
conditions.
a
What
is
the
probability
of
drawing
a
multiple
of
10
four
times
in
a
row?
b
What
is
the
probability
of
never
drawing
a
multiple
of
10?
c
What
is
the
probability
of
drawing
a
multiple
of
10
at
least
once?
d
For
any
natural
n
between
1
and
4,
note
A
n
the
event
:
ˇ
Get
a
multiple
of
10
for
the
first
time
on
the
n
-th
draw
ı
Calculate
the
probabilities
P
(
A
2
)
,
P
(
A
3
)
and
P
(
A
4
)
of
the
events
A
2
,
A
x
,
A
4
.
E.4836
The
table
below
provides
an
overview
of
daily
newspaper
readership
in
France,
based
on
a
sample
of
800
people
surveyed
in
2005
.
Every
day
or
almost
Once
or
twice
a
se-maine
Seule
ment
during
certain
péri-odes
Rare-ment
Jamais
Total
Agriculteurs
exploitants
1
10
2
8
79
100
Artisans,
commerçants
,
chefs
d’entreprise
11
11
5
7
66
100
Cadres
17
16
10
18
39
100
Professions
inter-médiaires
8
15
7
15
55
100
Employees
6
7
4
9
74
100
Ouvriers
(y
compris
agricoles)
4
5
3
5
83
100
Retraités
6
7
2
6
79
100
Autres
inactifs
5
9
4
9
73
100
Total
en
effectif
58
80
37
77
548
800
Pourcentages
du
total
7,
25
%
10
%
4.625
%
In
this
exercise,
results
will
be
given
in
decimal
form
and
rounded
to
0.001
nearest.
Part
A.
1
The
last
row
of
the
table
below
shows
the
proportion
of
each
category
in
relation
to
the
total
sample.
Calculate
the
missing
values
in
this
last
row.
2
Give
the
probability
that
a
person
chosen
at
random
from
among
the
executives
never
reads.
Part
B.
A
person
is
chosen
at
random
from
this
sample
of
800
people.
In
this
part,
we
note
the
following
events
:
J
the
event
:
ˇ
the
person
chosen
never
reads
ı
;
O
the
event
:
ˇ
the
person
chosen
is
a
worker
ı.
1
Calculate
the
probabilities
of
events
J
and
O
.
2
Calculate
the
probability
of
event
J
∩
O
.
3
Calculate
the
probability
of
event
J
∪
O
https://chingmath.fr
sacados/135
Diviseursde240Multiplesde10Diviseursde2Diviseursde5240120806040302010××××××××
chapExoCorrec/4836
sacados/4836
EvènementsélémentairesNNNNNNNBBNNNNNNNNBBNBNNBNNBBBB1ertirage2etirage
E.4787
An
urn
contains
two
black
balls
and
one
white
ball;
the
game
is
played
with
the
ball
being
returned
:
i.e.,
once
the
ball
has
been
drawn,
it
is
returned
to
the
urn
before
the
next
draw.
Here’s
a
decision
tree
based
on
the
drawing
of
two
balls
:
1
Taking
into
account
the
order
in
which
the
balls
are
drawn,
what
is
the
possible
number
of
different
draws?
2
Determine
the
probability
of
the
following
events
:
a
A
:
ˇ
The
first
ball
drawn
is
blanche
ı.
b
B
:
ˇ
The
two
balls
drawn
are
différents
ı
colors.
c
C
:
ˇ
The
second
ball
is
a
noire
ı
ball.
3
Give
the
probabilities
of
the
following
events
:
a
A
∩
B
b
B
c
C
2.
Adequation
of
a
probability
distribution
E.4146
A
study
looks
at
purchases
made
by
internet
users
via
the
internet.
Out
of
1
000
internet
users
who
purchased
this
equipment,
the
following
statistics
were
compiled
:
European
websites
Canadian
website
Indian
website
Number
of
buyers
335
310
355
1
We
note
respectively
f
1
,
f
2
and
f
3
the
frequencies
asso-ciated
with
the
previous
numbers.
We
set
:
d
2
=
k
=3
k
=1
f
k
−
1
3
2
.
Calculate
d
2
then
1000
·
d
2
.
2
We
simulate
3
000
times
the
experiment
of
randomly
se-lecting
a
number
from
1
;
2
;
3
with
equal
probabil-ity.
For
each
of
these
simulations,
we
obtain
a
value
of
1000
·
d
2
.
Here
are
the
results
:
Min.
First
decile
First
quartile
Median
Third
quartile
Ninth
decile
Max.
0.000
5
0.076
3
0.211
1
0.488
45
0.940
1
1,
5104
5.925
6
At
the
risk
of
10
%
,
can
we
consider
that
the
choice
of
a
European,
North
American,
or
Asian
site
is
made
on
an
equiprobable
basis?
E.4183
We
have
a
regular
tetrahedral
die
;
we
want
to
know
if
the
die
used
can
be
considered
perfectly
balanced.
To
do
this,
we
number
the
four
sides
of
the
die
from
1
to
4
,
then
we
roll
the
die
160
times,
noting
the
number
n
i
of
times
each
side
is
hidden
;
we
obtain
the
following
results
:
Face
i
1
2
3
4
Number
n
i
34
48
46
32
We
note
f
i
the
relative
frequency
for
face
n
i
and
d
2
obs
the
ac-tual
:
4
i
=1
f
i
−
1
4
2
We
then
simulate
1
000
times
the
experiment
consisting
of
ran-domly
selecting
a
number
160
times
from
the
set
1
;
2
;
3
;
4
then,
for
each
simulation,
we
calculate:
d
2
=
4
i
=1
F
i
−
1
4
2
where
F
i
is
the
frequency
of
occurrence
of
the
number
i
.
The
9
e
decile
of
the
statistical
series
of
1
000
values
of
d
2
is
equal
to
0.009
8
.
Based
on
the
experiment
conducted
and
the
risk
of
10
%
,
can
the
die
be
considered
perfectly
balanced?
https://chingmath.fr
chapExoCorrec/4787
sacados/4787
EvènementsélémentairesNNNNNNNBBNNNNNNNNBBNBNNBNNBBBB1ertirage2etirage
sacados/4146
sacados/4183
Extrait de France
Septembre 2005
E.4189
We
decide
to
test
the
tetrahedral
die
to
see
if
it
is
well
balanced
or
if
it
is
loaded.
To
do
this,
we
roll
the
die
200
times
and
obtain
the
following
table
:
Face
k
1
2
3
4
Number
of
outputs
of
the
face
k
58
49
52
41
1
Calculate
the
output
frequencies
f
k
observed
for
each
of
the
faces.
2
We
set
d
2
=
4
k
=1
f
k
−
1
4
.
Calculate
d
2
.
3
We
now
perform
1
000
simulations
of
200
rolls
of
a
well-balanced
tetrahedral
die
and
calculate
the
number
d
2
for
each
simulation.
For
the
statistical
series
of
1
000
values
of
d
2
,
we
obtain
the
following
results
:
Min.
D
1
Q
1
Médiane
Q
3
D
9
Max.
0.00124
0.00192
0.00235
0.
00281
0.00345
0.00452
0.01015
At
the
risk
of
10
%
,
can
we
consider
that
this
die
is
loaded
7
.
E.4196
1
The
1000
first
decimal
places
of
ı
are
given
here
by
a
computer
:
1415926535
8979323846
2643383279
5028841971
6939937510
5820974944
5923078164
0628620899
8628034825
3421170679
8214808651
3233066470
9384460959
0582235725
3594085234
8111745028
4102701930
5211055596
4462294895
4930301964
4288109756
6593344612
8475648233
7867831652
7120190914
5648566923
4603486534
5432664825
3393607260
2491412737
2450700660
6315580574
8815209209
6282925409
1715364367
8925903600
1133053054
8820466525
3841469519
4151160943
3057270365
7595919530
9218611738
1932611793
1051185480
7446297996
2749567355
8857527240
9122793318
3011949129
8336733624
4065664308
6025394946
3952247371
9070217986
0943702770
5392171762
9317675238
4674818467
6691051320
0056812714
5263560827
7857753427
9778900917
3637178721
4684409012
2495343054
6549585371
0507922796
8925892354
2019956112
1290219608
6403441815
9813629774
7713099605
1870721134
9999998372
9780499510
5973173281
6096318599
0244594553
4690830264
2522300253
3446850352
6193110017
1010003137
8387528865
8753320830
1420617177
6691473035
9825349042
8755460731
1595620633
8235378759
3751957781
8577805321
7122600661
3001927876
6111959092
1642019894
By
grouping
these
decimals
by
values
between
0
and
9
,
we
obtain
the
following
table
:
Valeurs
0
1
2
3
4
Occurrences
93
116
102
102
94
Values
5
6
7
8
9
Occurrences
97
94
95
101
106
Using
a
table,
we
simulated
1000
experiments
of
1000
random
draws
of
a
number
between
0
and
9
.
For
each
experiment,
we
calculated
d
2
=
k
=9
k
=0
f
k
−
0.1
2
where
f
k
represents,
for
the
experiment,
the
observed
frequency
of
the
digit
k
.
We
then
obtained
a
statistical
series
for
which
we
calculated
the
first
and
ninth
deciles
(
d
1
and
d
9
)
,
the
first
and
third
quartiles
(
Q
1
and
Q
3
)
and
the
median
(
Me
))
:
d
1
=
0.000
422
;
Q
1
=
0.000
582
;
M
e
=
0.000
822
Q
3
=
0.00
1136
;
d
9
=
0.00145
By
calculating
d
2
on
the
series
of
1000
first
decimal
places
of
π
,
we
obtain
:
a
0.000
456
b
0.004
56
c
0.000
314
2
A
statistician
discovering
the
table
and
unaware
that
these
are
the
decimals
of
π
,
hypothesizes
that
the
series
is
the
re-sult
of
independent
random
draws
following
an
equipartition
law.
He
takes
a
risk
of
10
%
of
rejecting
this
hypothesis
when
it
is
true.
Does
he
accept
this
hypothesis?
a
Oui
b
Non
c
He
cannot
conclude
3.
Other
draws:
successive
with
discount
E.4164
There
are
26
cards
containing
the
26
letters
of
the
alphabet.
Three
cards
are
drawn
successively
from
the
deck.
Each
draw
is
assumed
to
be
independent.
1
How
many
three-letter
words
can
be
formed
in
this
way?
2
a
Determine
the
probability
of
the
event
:
A
1
:
ˇ
The
word
begins
with
the
letter
B
ı.
b
Determine
the
probability
of
the
event
:
A
2
:
ˇ
The
second
letter
of
the
word
is
the
letter
B
ı.
3
a
Determine
the
probability
of
the
event
:
B
1
:
ˇ
The
first
letter
of
the
word
is
the
only
letter
B
ı
b
What
is
the
probability
of
the
event
:
C
:
ˇ
The
word
contains
the
letter
B
ı
only
once.
4.
Other
draws:
successive
without
discount
https://chingmath.fr
sacados/4189
Extrait de France
Juin 2006
sacados/4196
chapExoCorrec/4164
sacados/4164
E.4163
A
librarian
wants
to
arrange
a
four-volume
encyclopedia
in
its
proper
place.
To
do
this,
he
pulls
the
volumes
from
his
cart
in
succession
and
arranges
them
in
that
order.
At
the
end
of
this
random
arrangement,
he
looks
at
its
composition
:
1
What
is
the
probability
of
the
event
:
A
:
ˇ
Is
the
volume
1
at
its
place
ı?
2
What
is
the
probability
of
the
event
:
B
:
ˇ
The
volume
2
is
at
its
place
ı?
3
What
is
the
probability
of
the
event
:
C
:
ˇ
The
four
volumes
are
perfectly
ordonnés
ı?
5.
Other
draws:
simultaneous
E.3744
Hint:
exact
values
will
be
given
as
fractions,
as
well
as
values
rounded
to
10
−
3
near.
A
child
puts
10
red
marbles
and
3
green
marbles
into
a
cube
box.
In
this
game,
he
simultaneously
chooses
three
marbles
at
ran-dom
from
the
cubic
box
and
looks
to
see
how
many
red
mar-bles
he
has
chosen.
We
call
X
the
random
variable
corre-sponding
to
the
number
of
red
marbles
chosen.
1
Determine
the
probability
distribution
of
X
.
2
Calculate
the
mathematical
expectation
of
X
.
E.4173
A
bag
contains
10
tokens
indistin-guishable
by
touch
:
7
white
tokens
numbered
1
to
7
and
3
black
tokens
numbered
1
to
3
.
Two
tokens
are
simultaneously
drawn
from
this
bag
1
Note
A
the
event
ˇ
get
two
tokens
blancs
ı.
Show
that
the
probability
of
the
event
A
is
equal
to
7
15
.
2
Let
B
be
the
event
ˇ
getting
two
tokens
with
numbers
impairs
ı.
Calculate
the
probability
of
B
.
3
Are
the
events
A
and
B
independent?
E.4184
An
urn
contains
five
black
balls
and
three
red
balls,
indistinguishable
to
the
touch.
Three
balls
are
simultaneously
extracted
from
the
urn.
What
is
the
probability
of
obtaining
two
black
balls
and
one
red
ball?
6.
Other
prints
E.4144
A
game
involves
simultaneously
drawing
4
balls
indistinguishable
by
touch
from
a
bag
contain-ing
a
black
ball
and
9
white
balls,
then
rolling
a
well-balanced
six-sided
die
numbered
from
1
to
6
.
If
the
black
ball
is
drawn,
you
need
to
get
an
even
integer
with
the
die
to
win.
If
the
black
ball
is
not
drawn,
you
must
get
a
six
with
the
die
to
win.
We
call:
N
the
event
:
ˇ
the
black
ball
is
among
the
balls
tirées
ı
;
G
the
event
:
ˇ
the
player
gagne
ı.
1
Determine
the
probability
of
the
event
N
.
2
Demonstrate
that
the
probability
of
the
event
G
is
equal
to
3
10
.
A
weighted
tree
may
be
used.
3
The
player
does
not
win.
What
is
the
probability
that
he
drew
the
black
ball?
E.4161
For
each
question,
three
answers
are
pro-vided
;
indicate
the
only
correct
answer
without
justification.
An
urn
contains
10
balls
that
are
indistinguishable
to
the
touch
:
7
are
white
and
3
are
black.
1
3
balls
are
drawn
simultaneously
from
the
urn.
The
prob-ability
of
drawing
2
white
balls
and
1
black
balls
is
equal
to
:
21
40
;
7
10
×
6
9
×
1
3
;
7
10
×
7
10
×
1
3
2
From
the
same
urn,
we
draw
a
ball,
note
its
color,
and
put
it
back
in
the
urn
;
we
proceed
in
this
manner
with
5
successive
draws
with
replacement.
The
probability
of
obtaining
3
black
balls
and
2
white
balls
is
equal
to
:
3
3
×
7
2
10
5
;
5
2
×
3
10
2
×
7
10
3
;
5
2
×
3
10
3
×
7
10
2
3
From
the
same
urn,
a
single
ball
is
drawn.
If
it
is
white,
a
cubic
die
is
rolled
(whose
faces
are
numbered
from
1
to
6
)
.
If
the
ball
is
black,
a
tetrahedral
die
is
rolled
(with
sides
numbered
from
1
to
4
)
.
The
dice
are
assumed
to
be
well
balanced.
The
player
wins
if
they
roll
the
number
1
.
Knowing
that
the
player
has
won,
the
probability
that
they
rolled
a
white
ball
is
equal
to
:
7
60
;
14
23
;
7
10
×
1
6
1
2
×
1
6
+
1
2
×
1
4
https://chingmath.fr
chapExoCorrec/4163
sacados/4163
sacados/3744
Extrait France
Juin 2005
sacados/4173
sacados/4184
sacados/4144
sacados/4161
E.4200
A
group
of
friends
has
a
deck
of
32
cards.
They
play
cards
three
times,
changing
the
rules
of
the
game.
Consider
the
following
events
:
A
:
ˇ
the
first
two
cards
drawn
are
as
ı
;
B
:
ˇ
a
jack,
a
king,
a
dame
ı
are
drawn
in
this
order
;
C
:
ˇ
the
last
card
drawn
is
a
pique
ı.
1
The
players
decide
to
successively
draw
three
cards
from
the
deck
with
a
discount.
Determine
the
probabilities
of
the
events
A
,
B
and
C
.
2
Now
they
play
by
drawing
three
cards
successively
and
without
surrender.
Determine
the
probabilities
of
the
events
A
,
B
,
C
.
Consider
the
following
events
:
D
:
ˇ
two
of
the
cards
drawn
are
as
ı
;
E
:
ˇ
a
jack,
a
king,
a
dame
ı
were
drawn
;
F
:
ˇ
at
least,
one
of
the
cards
is
a
pique
ı
;
G
:
ˇ
only
one
of
the
cards
is
a
pique
ı.
3
They
change
the
rules
of
the
game
and,
now,
simultane-ously
draw
three
cards.
Determine
the
probabilities
of
the
events
D
,
E
,
F
and
G
.
E.127
An
urn
contains
five
blue
balls,
num-
bered
from
1
to
5
,
four
green
balls
numbered
from
1
to
4
and
one
red
ball
numbered
1
.
As
these
balls
are
indistinguishable
by
touch,
in
each
of
the
two
games,
the
different
eventualities
are
equiprobable.
Note
:
The
probabilities
requested
will
be
presented
as
frac-tions
irréductibles
Part
1:
simultaneous
draws
Two
balls
are
drawn
simultaneously
1
Calculate
the
number
of
possible
draws.
2
Calculate
the
probability
of
obtaining
two
green
balls
3
Calculate
the
probability
of
obtaining
two
balls
of
the
same
color
4
Calculate
the
probability
of
getting
at
least
one
blue
ball.
Part
2:
successive
draws
One
ball
is
drawn,
its
number
noted,
then
without
returning
this
first
drawn
ball
to
the
urn,
another
ball
is
drawn
and
its
number
also
noted.
The
two
numbers
thus
obtained
are
used
to
form
a
two-digit
natural
number.
The
first
number
drawn
is
taken
as
the
tens
digit
and
the
second
as
the
units
digit.
1
Calculate
the
number
of
possible
draws.
2
Calculate
the
probability
of
obtaining
the
integer
24
.
https://chingmath.fr
sacados/4200
sacados/127