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Maulana Azad National Urdu University M.Sc. (Maths) I Semester Examination, March 2023

MSMM104CCT : Probability and Statistics

È Z w Zz Ñ g c g

*

] : p 6 ,

â

j

Time : 3 hrs Marks : 70

@ c Z

* ] :

Ó

” x Ð V Z Î V ß

» Z Ž

[ X ì è S g  á Z Š Z ® Å V / n Æ [ Z Ž C Ù X x Î z Ô zx Š z Ô w z Zz : ì Œ 6 , V ” & ] Ñ Z Î p ! 6 , t

Š b Ñ ò i ì X i Ñ

ì ò C X Ù Z Î

Æ w [ Z Ž » w Z Î C Ù X  ] Ñ Z Î á zZ [ Z Ž ¿ & * * ™ %æFN ( à { & ] Ñ Z Î è z c ž Ž  ] Ñ Z Î ò i Ñ

10

~ w Zz z

.1

(10 x 1 = 10 Marks)

X ì – 

1

a

/ 6 V ,

Œ

(200)

Î z Š ã ½ [ Z Ž » w Z Î C Ù X  ¶ Š [ Z Ž Æ V ß Z Î õ 0 * ð à à D ¨ ( ¤ Ð ~ k XZ  ] Ñ Z Î J W ~ zx Š z

.2

(5 x 6 = 30 Marks)

X  – ] Z 

6

a Æ w Z Î C Ù X ì

V / 6 ,

Œ

(500)

Î õ 0 * ã ½ [ Z Ž » w Z Î C Ù X  ¶ Š [ Z Ž Æ V ß Z Î & ð à à D ¨ ( ¤ Ð ~ k XZ  ] Ñ Z Î õ 0 * ~ x Î z

.3

(3 x 10 = 30 Marks)

X  – ] Z 

10

a Æ w Z Î C Ù X ì

Zz z w

1 :

 w Z Î

ƒ A

$ ¤ / Z

(i)

Z

~ y Ð ð Ã

7

(d) (c) (b) (a)

Randomly

à V Y ±

(2)

z Š ¤ / XZ 

(Blue)

š @ M Å

(3)

& Ð ~ X  V H ±

(10)

k Š ~

(Class)

® ) ) q - Z

(ii)

ƒ

ž Ï

Š â z Å V M

š @

ƒ ' ' '

'

Probability

H 6 , ä ™

Select

Z

~ y Ð ð Ã

7

(d) (c) (b) (a)

7

(

/

V ; ) ? 7 t  @ * ƒ ' , Z ' ,

variance

g Zz

mean

~

Binomial distribution

H

(iii)

ƒ

X Ç

mean

A $

P(x=1)=P(x=2)

ž b § k Z ì

Poission Variate

q - Z

X

¤ / Z

(iv)

Z

~ y Ð ð Ã

7

(d) 3 (c) 2 (b) 1 (a)

ƒ

X Ç

.... = n

A $ ƒ ~

Binomial Distribution

¤ / Z

(v)

Z

~ y Ð ð Ã

7

(d) 15 (c) 12 (b) 10 (a)

1/4

(2)

E Z

™ w D



X

test

X X X X X X X ë A $ ƒ N * g

sample size

¤ / Z

(vi)

-test- (d) F-test (c) t-test (b) Z-test (a)

ƒ Ð

X X X X X X X

sample space

n Z A $ ƒ Š H Ñ Y Z û %

10

Ã

(Coin)

ö q - Z

(vii)

Z

~ y Ð ð Ã

7

(d) (c) (b) (a)

Š c

*

Š ì H A ë $ E Z

™ w D

 ' ' ' '

'

mean

z Š ~

Normaldistribution

¤ / Z

(viii)

Z

~ y Ð ð Ã

7

(d) (c) (b) (a)

' ~

' ' ' '

'

Normal Distribution (ix)

mean < median < mode (b) mean = median = mode (a)

Z

~ y Ð ð Ã

7

(d) mean > median > mode(c)

(x)

Z

~ y Ð ð Ã

7

(d) (c) (b) (a)

Š z

zx X z ™ " $ U * g Zz y Ò Ã Bayes Theorem (2)

2%, 3%, 6%

Ð ~ T  D ¯

bulb 50% C

g Zz

30% B

ó

20% A Machines

Æ ~ 1

Electric Bulb

q - Z

(3)

ƒ

ž Ï

z{

Probability

H X 

Defective

z{ ž Z ƒ x ¥ g Zz  ä 3

Randomly

Ã

Bulb

q - XZ 

Defective Bulb

¯ C



X

C,B,A Machines

ó

Bulb

Z

§ k

Š b c

*

Š ì H

X

Probability Density Function (p.d.f)

»

Continuous Random Variable

q - Z

(4)

Variance (iii) Mean (ii) K (i)

z ™ x ¥ A $

¥

™ x z

X

Probability

A $ X 

S.D = 16

g Zz

Mean = 70

» T 

Normal Variate

q - Z

X

¤ / Z

(5)

(ii) (i)

Æ

! g *

~ }

Ÿ ÉÀ /õG

X

Critical Region

g Zz

Type I, Type II Error (6)

2/4

(3)

% Æ ä

Š - z E - g Ð V a Zz ‰ gZ Æ y zi Ð y

³

¤ Zx / Zz

g

(students)

Y C

(7)

X

Test the significance of the difference between the means

X  Š H c * Î [ ˆ »

Standard Deviation

Mean S.D Size of Sample

University A 55 10 400

University B 57 15 100

(Table Value of Normal distribution )

4000 hrs

Å

Average life time electric bulb

¤ / XZ ì ˆ ~ Š ~

Data

n

Life Time

Å

10 Electric Bulbs (8)

™ M

 h

X

Accept

Ã

Hypothesis

ë H A $ ì

Items 1 2 3 4 5 6 7 8 9 10

Life of 1000hrs 1.2 4.6 3.9 4.1 5.2 3.8 3.9 4.3 4.4 5.6

(

Table value

ò

Š c

*

Š ì H

X

Data

»

daily wages

~ 9 gz Å

skilled workers

~ V z à z Š

(9)

City Size Standard Deviatin of wages in the sample

City A 16 25

City B 13 12

™ ,

X

Test

Ã

Variances of the wages distributed in the two cities (Table value F0.05 (12,15)=2.48)

z x Î

U

*

"

™ $

ž z

:

(10)

(ii) (i)

X z ™ x ¥ g Š Å A $ ì Š H c * Š

p.d.f

~

Normal Distribution (11)

a Æ

success

z Š A $ ì

Variance=2

g Zz

Mean=6

»

Binomial Distribution(i) (12)

¥

™ x z

X

probability

ì Z

§ k

b

poission variate

q - Z

" X"

¤ / Z

(ii)

(b) Mean (a)

z ™ x ¥ A $

3/4

(4)

ì

S.D = 1.6

g Zz

Mean = 31.45

» T 6 ,

40 Diesel engines

ì Š H H

test perform

q - Z

(13)

ì

X

null hypothesis against the alternate hypothesis

H ž , ™ õ Y

(Table value of normal distribution )

X ì Š H c * Š

according to sex and nature of work

»

agency (2)

z Š

(14)

ì

c 7 *

?

nature of work independent of sex workers

H ž , ™ G F +B/õE Y

sex Agency 1 Agency 2 Total

Male 40 20 60

Female 10 30 40

Total 50 50 100

(Table Value )

/ / /

4/4

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