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Published on: 01/03/2021
12th Standard English Medium Business Maths Reduced Syllabus One Mark Important Questions - 2021(Public Exam )
Download Tamil Nadu 12th Standard Business Maths and Statistics question papers, model tests, one-mark questions, important questions, and public exam papers in PDF format. Free study materials and answer keys for TN State Board students.
Questions + Answers key
Take MCQ Business Maths and Statistics Test

1.
If c is a constant then Δc = _______.
c
Δ
Δ2
0
2.
Δf(x) = _______.
f(x+ h)
f(x) − f(x+h)
f(x + h) − f(x)
f (x) − f(x−h)
3.
A type of decision –making environment is _______.
certainty
uncertainty
risk
all of the above
4.
The solution for an assignment problem is optimal if _______.
each row and each column has no assignment
each row and each column has atleast one assignment
each row and each column has atmost one assignment
each row and each column has exactly one assignment
5.
If number of sources is not equal to number of destinations, the assignment problem is called______.
balanced
unsymmetric
symmetric
unbalanced
6.
In a non – degenerate solution number of allocations is _______.
Equal to m+n–1
Equal to m+n+1
Not equal to m+n–1
Not equal to m+n+1
7.
The differential equation formed by eliminating A and B from y = e−2x(A cos x + B sin x) is ______.
y2 − 4y1 + 5 = 0
y2+ 4y – 5 = 0
y2−4y1−5= 0
y2 + 4y1 + 5 = 0
8.
The degree of the differential equation \(\frac { { d }^{ 4 }y }{ { dx }^{ 4 } } { -\left( \frac { { d }^{ 2 }y }{ { dx }^{ 2 } } \right) }^{ 4 }+\frac { dy }{ dx } =3\) ______.
1
2
3
4
9.
\(\overset {-}{X}\) chart is a ________.
attribute control chart
variable control chart
neither Attribute nor variable control chart
both Attribute and variable control chart
10.
Variations due to natural disorder is known as ________.
random cause
non-random cause
human cause
all of them
11.
The quantities that can be numerically measured can be plotted on a ________.
p - chart
c – chart
x bar chart
np – chart
12.
Which of the following Index number satisfy the time reversal test?
Laspeyre’s Index number
Paasche’s Index number
Fisher Index number
All of them
13.
Laspeyre’s index = 110, Paasche’s index = 108, then Fisher’s Ideal index is equal to: ________.
110
108
100
109
14.
The seasonal variation means the variations occurring with in ________.
A number of years
within a year
within a month
within a week
15.
The component of a time series attached to long term variation is trended as ________.
Cyclic variation
Secular variations
Irregular variation
Seasonal variations
16.
The components of a time series which is attached to short term fluctuation is ________.
Secular trend
Seasonal variations
Cyclic variation
Irregular variation
17.
A time series consists of ________.
Five components
Four components
Three components
Two components
18.
19.
An estimate of a population parameter given by two numbers between which the parameter would be expected to lie is called an………..interval estimate of the parameter.
point estimate
interval estimation
standard error
confidence
20.
If probability \(P[|\hat{\theta}-\theta|<\varepsilon] \rightarrow 1\) as \(n \rightarrow \infty\), for any positive \(\varepsilon \) then \(\hat{\theta}\) is said to ________ estimator of \(\theta\).
efficient
sufficient
unbiased
consistent
21.
_______ is a relative property, which states that one estimator is efficient relative to another.
efficiency
sufficiency
unbiased
consistency
22.
In ________ the heterogeneous groups are divided into homogeneous groups.
Non-probability sample
a simple random sample
a stratified random sample
systematic random sample
23.
Which one of the following is probability sampling
purposive sampling
judgment sampling
simple random sampling
Convenience sampling
24.
A random sample is a sample selected in such a way that every item in the population has an equal chance of being included ______.
Harper
Fisher
Karl Pearson
Dr. Yates
25.
ഽ\(\frac { { e }^{ x } }{ \sqrt { { 1+e }^{ x } } } \) dx is _______.
\(\frac { { e }^{ x } }{ \sqrt { { 1+e }^{ x } } } +c\)
\(2\sqrt { 1+{ e }^{ x } } +c\)
\(\sqrt { 1+{ e }^{ x } } +c\)
\({ e }^{ x }\sqrt { 1+{ e }^{ x } } +c\)
26.
ഽ2xdx is _______.
2x log 2 + c
2x + c
\(\frac { 2^{ x } }{ log2 } +c\)
\(\frac { log2 }{ { 2 }^{ x } } +c\)
27.
In a binomial distribution, the probability of success is twice as that of failure. Then out of 4 trials, the probability of no success is ________.
16/81
1/16
2/27
1/81
28.
If P(Z > z) = 0.8508 what is the value of z (z has a standard normal distribution)?
–0.48
0.48
-1.04
1.04
29.
The weights of newborn human babies are normally distributed with a mean of 3.2 kg and a standard deviation of 1.1 kg. What is the probability that a randomly selected newborn baby weighs less than 2.0 kg?
0.138
0.428
0.766
0.262
30.
The time until first failure of a brand of inkjet printers is normally distributed with a mean of 1,500 hours and a standard deviation of 200 hours. What proportion of printers fails before 1000 hours?
0.0062
0.0668
0.8413
0.0228
31.
In a large statistics class the heights of the students are normally distributed with a mean of 172 cm and a variance of 25 cm. What proportion of students are between 165 cm and 181 cm in height?
0.954
0.601
0.718
0.883
32.
The starting annual salaries of newly qualified chartered accountants (CA’s) in South Africa follow a normal distribution with a mean of Rs.180,000 and a standard deviation of Rs. 10,000. What is the probability that a randomly selected newly qualified CA will earn between Rs. 165,000 and Rs. 175,000 per annum?
0.819
0.242
0.286
0.533
33.
The random variable X is normally distributed with a mean of 70 and a standard deviation of 10. What is the probability that X is between 72 and 84?
0.683
0.954
0.271
0.340
34.
Which of the following statements is/are true regarding the normal distribution curve?
it is symmetrical and bell shaped curve
it is asymptotic in that each end approaches the horizontal axis but never reaches it
its mean, median and mode are located at the same point
all of the above statements are true.
35.
The average percentage of failure in a certain examination is 40. The probability that out of a group of 6 candidates atleast 4 passed in the examination are ________.
0.5443
0.4543
0.5543
0.4573
36.
If for a binomial distribution b(n,p) mean = 4 and variance = 4/3, the probability, P(X ≥ 5) is equal to ________.
(2/3)6
(2/3)5(1/3)
(1/3)6
4(2/3)6
37.
If X ~ N(μ, σ2), the maximum probability at the point of inflexion of normal distribution is ________.
\({ \left( \frac { 1 }{ \sqrt { 2\pi } } \right) }^{ { e }^{ \frac { 1 }{ 2 } } }\)
\({ \left( \frac { 1 }{ \sqrt { 2\pi } } \right) }^{ { e }^{ \left( -\frac { 1 }{ 2 } \right) } }\)
\({ \left( \frac { 1 }{ \sigma \sqrt { 2\pi } } \right) }^{ { e }^{ \left( \frac { 1 }{ 2 } \right) } }\)
\({ \left( \frac { 1 }{ \sqrt { 2\pi } } \right) }\)
38.
If Z is a standard normal variate, the proportion of items lying between Z = –0.5 and Z = –3.0 is ________.
0.4987
0.1915
0.3072
0.3098
39.
A discrete probability function p(x) is always non-negative and always lies between ________.
0 and \(\infty \)
0 and 1
–1 and +1
–∞ and +∞
40.
An expected value of a random variable is equal to it’s ________.
variance
standard deviation
mean
covariance
41.
E[X-E(X)]2 is ________.
E(X)
E(X2)
V(X)
S.D(X)
42.
If c is a constant in a continuous probability distribution, then p(x = c) is always equal to ________.
zero
one
negative
does not exist
43.
A probability density function may be represented by ________.
table
graph
mathematical equation
both (b) and (c)
44.
A variable that can assume any possible value between two points is called ________.
discrete random variable
continuous random variable
discrete sample space
random variable
45.
Given E(X)=5 and E(Y)=−2, then E(X−Y) is ________.
3
5
7
-2
46.
47.
When x0 = 2 and P0 = 12 the producer’s surplus for the supply function Ps = 2x2 + 4 is ________.
\(\frac{31}{5}\)units
\(\frac{31}{2}\) units
\(\frac{32}{3}\) units
\(\frac{30}{7}\) units
48.
The marginal revenue and marginal cost functions of a company are MR = 30 − 6x and MC = −24 + 3x where x is the product, then the profit function is ________.
9x2 + 54x
9x2 − 54x
54x - \(\frac { { 9x }^{ 2 } }{ 2 } \)
54x - \(\frac { { 9x }^{ 2 } }{ 2 } \) + k
49.
The rank of the diagonal matrix\(\left( \begin{matrix} 1 & & \\ & 2 & \\ & & -3 \end{matrix}\\ \quad \quad \quad \quad \quad \quad \quad \begin{matrix} 0 & & \\ & 0 & \\ & & 0 \end{matrix} \right) \)
0
2
3
5
50.
The rank of the unit matrix of order n is ________.
n −1
n
n +1
n2
1.
(d)
0
2.
(c)
f(x + h) − f(x)
3.
(d)
all of the above
4.
(d)
each row and each column has exactly one assignment
5.
(d)
unbalanced
6.
(a)
Equal to m+n–1
7.
(d)
y2 + 4y1 + 5 = 0
8.
(a)
1
9.
(b)
variable control chart
10.
(a)
random cause
11.
(c)
x bar chart
12.
(c)
Fisher Index number
13.
(d)
109
14.
(b)
within a year
15.
(b)
Secular variations
16.
(d)
Irregular variation
17.
(b)
Four components
18.
(d)
19.
(b)
interval estimation
20.
(d)
consistent
21.
(a)
efficiency
22.
(c)
a stratified random sample
23.
(c)
simple random sampling
24.
(a)
Harper
25.
(b)
\(2\sqrt { 1+{ e }^{ x } } +c\)
26.
(c)
\(\frac { 2^{ x } }{ log2 } +c\)
27.
(d)
1/81
28.
(c)
-1.04
29.
(a)
0.138
30.
(a)
0.0062
31.
(d)
0.883
32.
(b)
0.242
33.
(d)
0.340
34.
(d)
all of the above statements are true.
35.
(a)
0.5443
36.
(d)
4(2/3)6
37.
(c)
\({ \left( \frac { 1 }{ \sigma \sqrt { 2\pi } } \right) }^{ { e }^{ \left( \frac { 1 }{ 2 } \right) } }\)
38.
(c)
0.3072
39.
(b)
0 and 1
40.
(c)
mean
41.
(c)
V(X)
42.
(a)
zero
43.
(d)
both (b) and (c)
44.
(b)
continuous random variable
45.
(c)
7
46.
(b)
47.
(c)
\(\frac{32}{3}\) units
48.
(d)
54x - \(\frac { { 9x }^{ 2 } }{ 2 } \) + k
49.
(c)
3
50.
(b)
n
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Tamilnadu Stateboard 12th Standard Subjects

Maths

Chemistry

Physics

Biology

Computer Science

Business Maths and Statistics

Economics

Commerce

Accountancy

History

Computer Applications

Biology

Computer Technology

Computer Applications

Computer Science

Business Maths and Statistics

Commerce

Economics

Maths

Chemistry

Physics

Computer Technology

History

Accountancy

Tamil

English

French
Tamilnadu Stateboard Standards