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BCS301 Quiz-1(CSE,ISE,AI&ML)

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

The probability distribution is valid if

a)

p(x) \ge 0

b)

p(x)=1\sum_{ }^{ }p\left(x\right)=1

c)

Both A and B

d)

None of the above

2.

Limiting case of Binomial distribution leads to

a)
Poisson distribution
b)
Uniform distribution
c)
Exponential distribution
d)
Normal distribution
3.

If the mean of a Binomial distribution is np, the standard deviation of this distribution is

a)
np+p
b)

npq\sqrt[]{npq}

c)
np(1-p)
d)
np-p
4.

The normal distribution is symmetrical about its

a)
mean
b)
median
c)
mode
d)
range
5.

Which probability distribution has same mean and variance

a)
Poisson distribution
b)
Exponential distribution
c)
Binomial distribution
d)

Uniform distribution

6.

if X and Y are independent random variables of Joint Probability Distribution then

a)

E(XY)=E(X).E(Y)E\left(XY\right)=E\left(X\right).E\left(Y\right)

b)

E(XY)=E(X)+E(Y)E\left(XY\right)=E\left(X\right)+E\left(Y\right)

c)

E(XY)=E(X)E(Y)E\left(XY\right)=E\left(X\right)-E\left(Y\right)

d)

None of the above

7.

A vector V=(v1,v2,----vn) is called a probability vector if each one of it components are non-negative and their sum is equal to

a)
1
b)
infinity
c)
negative
d)
0
8.

If COV(X,Y)=0COV(X,Y)=0 in a joint probability distribution then ρ(X,Y)=\rho\left(X,Y\right)=

a)
2
b)
0
c)
3
d)
1
9.

Condition of unique fixed probability vector is

a)

V=P

b)

VP2=P

c)

VP=V

d)

None of the above

10.

Full form of TPM is

a)

Transition probability matrix

b)

Transpose probability matrix

c)

Technical probability matrix

d)

Total probability matrix

11.

A finite subset of the universe or population is called

a)

sampling

b)

large sample

c)
sample
d)

random sample

12.

The standard deviation of the sampling distribution is called

a)
standard error
b)
range
c)
mean deviation
d)
variance
13.

The complimentary to the null hypothesis is called

a)
contrary hypothesis
b)
opposite hypothesis
c)
antithesis hypothesis
d)
alternative hypothesis
14.

Rejecting the hypothesis when it should be accepted is called

a)
Type II error
b)
Null hypothesis
c)
Type I error
d)
Confidence interval
15.

The sampling distribution of large samples is assumed to be

a)
normally distributed
b)
bimodal distributed
c)
exponentially distributed
d)
uniformly distributed