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Dear Students,
You are informed that Quiz no.3 will be started according to the following schedule;
Opening Date and Time of Quiz January 27, 2014 at 12:01AM
Closing Date and Time of Quiz January 28, 2014 at 11:59PM
Instructions:
Read the following instructions carefully before attempting the Quiz No.3.
• Quiz will be based upon Multiple Choice Questions (MCQs) and it will cover Lesson nos. 21 to Lesson nos. 30.
• You can start attempting the quiz any time within given date(s) and time of a particular subject by clicking the link for Quiz in LMS.
• Each question has a fixed time of 90 seconds. So you have to save your answer before 90 seconds. But due to unstable internet speeds, it is recommended that you should save your answer within 60 seconds. While attempting a question, keep an eye on the remaining time.
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Solved Quiz No.3 enjoy.
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The marginal p.d.f. of any continuous variables is obtained by ___________ the other variable from the joint p.d.f. 



Dividing Averaging
Multiplying
Integrating
If one event is not affected by the outcome of the other event, the two events are said to be: 



Dependent Independent
Not Mutually Exclusive Mutually Exclusive
When a coin is tossed 3 times, the probability of getting 3 tails is 



½
3/8
1/9
2/8
Binomial distribution is skewed to the right if: 



P = n
P = q
P<q
p>q
In a bivarite probability distribution of X and Y, If E(X)=3 and E(Y)=5, then E(XY)= ? 



2
2
15
None of above
Which type of data is used in the binomial distribution? 



Discrete data only
Continues data only
Qualitative data only
Both discrete and continuous
Using the normal approximation to the binomial distribution with n= 3 and p= 0.0571 the value of mean is: 



0.1713
0.2132
0.5133
0.1923








Suppose 60% of a herd of cattle is infected with a particular disease. Let Y = the number of nondiseased cattle in a sample of size 5. the distribution of Y is: 



Binomial with n = 5 and p = 0.6
Binomial with n = 5 and p = 0.4
Binomial with n = 5 and p = 0.5
Poisson with u = .6
From the following table, x 0 1 2 3 f (x) 0.26 0.49 0.22 0.02 E (2X+1) will be: 



1.98
2.98
0.99
2
If X and Y are independent random variables, then Cov (X, Y) = 



0.5
0
2
1
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