P(A)=34 PCB) 14 At a certain school, 34% of the students will qualify for financial A and 19% will qualify for financial aid type B. If it is known that 5.1% of the students will qualify for both types of financial aid, find: aid type 5) The probability that a student will qualify for financial aid (at least one of either type A or type B). 53 6) wanted forgot to Subfrut The Probability that a student will qualify for type A and not type B. P(B) = 1-P(B) = 1-.19 = 16.81 MB), 7) The probability that a student will qualify for type A, given that this student qualifies for type B. P(AIB) = 2 P(ANB)_ 0.051 -0.2684 P(13) -19
P(A)=34 PCB) 14 At a certain school, 34% of the students will qualify for financial A and 19% will qualify for financial aid type B. If it is known that 5.1% of the students will qualify for both types of financial aid, find: aid type 5) The probability that a student will qualify for financial aid (at least one of either type A or type B). 53 6) wanted forgot to Subfrut The Probability that a student will qualify for type A and not type B. P(B) = 1-P(B) = 1-.19 = 16.81 MB), 7) The probability that a student will qualify for type A, given that this student qualifies for type B. P(AIB) = 2 P(ANB)_ 0.051 -0.2684 P(13) -19
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
help me fix the mistakes and show the steps on how to solve the problems correctly.
![3
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€
At a certain school, 34% of the students will qualify for financial aid type
A and 19% will qualify for financial aid type B.
the students will qualify for both types of financial aid, find:
If it is known that 5.1% of
5) The probability that a student will qualify for financial aid (at least
one of either type A or type B).
*S3
6)
we wanted
PLANB)
7)
8)
The Probability that a student will qualify for type A and not type B.
P(B) = 1-P(B) = 1 - 14 = 0.81
The probability that a student will qualify for type A, given that this
student qualifies for type B.
P(A/B) = P(ANB)
-0.2684
P(B)
Survived
Proof using numbers that qualifying for the two types of financial aid
are not independent events.
-4
PC
Perished
Consider the following contingency table regarding passengers on the Titanic:
tot
Men
338
1352
Women
425+109
2224
316
109
P(A)=34
P(B) <19
EPLANBEOOSI
0.051
-19
=
Children
56
338
5324 = 10.1520
2224
forgot to
Subtnut
53
tet
(1696)
425
109
2224
9) Find the probability that a randomly selected passenger was not a man.
539
2224 = [0.2401]
10) Find the probability of surviving the wreek.
710
0.3169
710
1514
V
0.3159
2224
11) Given that a passenger was a man, find the probability of him surviving
the wreck.
0.1519
16
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Transcribed Image Text:3
хо-
€
At a certain school, 34% of the students will qualify for financial aid type
A and 19% will qualify for financial aid type B.
the students will qualify for both types of financial aid, find:
If it is known that 5.1% of
5) The probability that a student will qualify for financial aid (at least
one of either type A or type B).
*S3
6)
we wanted
PLANB)
7)
8)
The Probability that a student will qualify for type A and not type B.
P(B) = 1-P(B) = 1 - 14 = 0.81
The probability that a student will qualify for type A, given that this
student qualifies for type B.
P(A/B) = P(ANB)
-0.2684
P(B)
Survived
Proof using numbers that qualifying for the two types of financial aid
are not independent events.
-4
PC
Perished
Consider the following contingency table regarding passengers on the Titanic:
tot
Men
338
1352
Women
425+109
2224
316
109
P(A)=34
P(B) <19
EPLANBEOOSI
0.051
-19
=
Children
56
338
5324 = 10.1520
2224
forgot to
Subtnut
53
tet
(1696)
425
109
2224
9) Find the probability that a randomly selected passenger was not a man.
539
2224 = [0.2401]
10) Find the probability of surviving the wreek.
710
0.3169
710
1514
V
0.3159
2224
11) Given that a passenger was a man, find the probability of him surviving
the wreck.
0.1519
16
rt.

Transcribed Image Text:the test sheet.
probabilities as decimals or precents with 4 significant digits and
keep at least 2 decimal places for all other numerical answers.
your work for potential partial credit.
Show
A survey of 100 online shoppers at a certain popular webstore reveals
the following probability distribution of the number of items
purchased per visit. Assume that p(x) represents the true pdf and is
valid.
X=
0
1
2
3
-
4
5
Express
6
M
(f(x) =
???
.12 .16 .15 .05
.06
0.41
If customers buy 3 or more items, they will receive a discount on
shipping costs. What is the probability that the next customer
will receive this discount?
0.41
3 al 50.45
Idt
7
.03
.02
Yea
Calculate the expected number of items purchased per visit.
305
3) Notice that f(0) is not given. Find the probability that the
next customer will not make a purchase.
117
Idr
Given that a customer does not make a purchase, there is still a
prominent prompt to be added to the website's mailing list for
future promotions. Previous experience has shown that roughly
21% of these customers will choose to be added. What is the
probability that the next customer will not make a purchase and
be added to the mailing list? (Hint: what law from chapter 3 may
help with this?)
Lolik
15
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