11th Standard Syllabus & Materials
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Published on: 06/09/2019
Descriptive Statistics and Probability
Download Tamil Nadu 11th 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.
A die is thrown. Find the probability of getting
(i) a prime number
(ii) a number greater than or equal to 3
2.
Calculate the mean deviation about median and its relative measure for seven numbers given below: 55, 45, 40, 20, 60, 80, and 30.
3.
Daily income (in Rs) of ten families of a particular place is given below. Find out GM
85, 70, 15, 75, 500, 8, 45, 250, 40, 36.
4.
Find out the coefficient of mean deviation about median in the following series
| Age in years | 0-10 | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 |
|---|---|---|---|---|---|---|---|---|
| No. of persons | 8 | 12 | 16 | 20 | 37 | 25 | 19 | 13 |
5.
A factory has 3 machines A1, A2, A3 producing 1000, 2000, 3000 screws per day respectively. A1 produces 1% defectives, A2 produces 1.5% and A3 produces 2% defectives. A screw is chosen at random at the end of a day and found defective. What is the probability that it comes from machines A1?
6.
Compute Quartile deviation from the following data
| CI | 10-20 | 20-30 | 30-40 | 40-50 | 50-60 | 60-70 | 70-80 |
| f | 12 | 19 | 5 | 10 | 9 | 6 | 6 |
7.
The median of 10,14,11,9,8,12,6 is _________.
10
12
14
9
8.
Median is same as _________.
Q1
Q2
Q3
D2
9.
The best measure of central tendency is _________.
Arithmetic mean
Harmonic mean
Geometric mean
Median
10.
When an observation in the data is zero, then its geometric mean is
Negative
Positive
Zero
Cannot be calculated
11.
When calculating the average growth of economy, the correct mean to use is?
Weighted mean
Arithmetic mean
Geometric mean
Harmonic mean
12.
Let P(A) = \(\frac{3}{5}\) and P(B) = \(\frac{1}{5}\) . Find P(A∩B) if A and B are independent events.
13.
A die is thrown twice and the sum of the number appearing is observed to be 6. What is the conditional probability that the number 4 has appeared at least once?
1.
(i) S = {1, 2, 3, 4, 5, 6}
n(S) = 6
(i) Let A be the event of getting a prime number
A = {2, 3, 5}
n(A) = 3
\(P(A)=\frac { 3 }{ 6 } =\frac { 1 }{ 2 } \)
(ii) Let B be the event that the number is greater than or equal to 3.
B = {3, 4, 5, 6}
n(B) = 4
\(P(B) =\frac { 4 }{ 6 } =\frac { 2 }{ 3 } \)
2.
Arrange the values in ascending order 20, 30, 40, 45, 55, 60, 80.
Median = size of \( \left( \frac { \left( n+1 \right) }{ 2 } \right) ^{ th }\) value when n is odd
= size of \(\left( \frac { \left( 7+1 \right) }{ 2 } \right) ^{ th }\) value
= size of 4th item = 45
| X | |X – Median| = |X – 45| |
| 20 | 25 |
| 30 | 15 |
| 40 | 5 |
| 45 | 0 |
| 55 | 10 |
| 60 | 15 |
| 80 | 35 |
| \(\sum\)|X – Median| = 105 |
MD about Median = \(\frac { \sum { |X – Median| } }{ n } =\frac { 105 }{ 7 } =15.0\)
Coefficient of MD about median \(=\frac { 15}{ 45 } =0.33\)
3.
| X | log X |
| 85 | 1.9294 |
| 70 | 1.8451 |
| 15 | 1.1761 |
| 75 | 1.8751 |
| 500 | 2.6990 |
| 8 | 0.9031 |
| 45 | 1.6532 |
| 250 | 2.3979 |
| 40 | 1.6021 |
| 36 | 1.5563 |
| \(\sum\)logX = 17.6373 |
GM = Anti \(\log { \left( \frac { \sum { logX } }{ n } \right) } ;\) where n = 10
GM = Anti log \(\left( \frac { 17.6373 }{ 10 } \right) \)
= Anti log(1.7637)
GM = 58.03
4.
Find out the coefficient of mean deviation about median
| Intervals | f | c.f | Mid x | |D| = |x-45.14| | f|D| |
|---|---|---|---|---|---|
| 0-10 | 8 | 8 | 5 | 40.14 | 321.12 |
| 10-20 | 12 | 20 | 15 | 30.14 | 361.68 |
| 20.30 | 16 | 36 | 25 | 20.14 | 322.24 |
| 30-40 | 20 | 56 | 35 | 10.14 | 202.8 |
| 40-50 | 37 | 93 | 45 | 0.14 | 5.18 |
| 50-60 | 25 | 118 | 55 | 9.86 | 246.50 |
| 60-70 | 19 | 137 | 65 | 19.86 | 377.34 |
| 70.80 | 13 | 150 | 75 | 29.86 | 388.18 |
| \( \sum f\) = 150 | \( \sum { f|D| }\) = 2225.04 |
Mean deviation about median = \(\frac { \sum { f|D| } }{ \sum f } =\frac { 2225.04 }{ 150 } =14.83\)
Median = 45.14
MD = 14.83
5.
P(A1) = P(that the machine A1 produces screws) = \(\frac{1000}{6000}=\frac{1}{6}\)
P(A2) = P(that the machine A2 produces screws) = \(\frac{2000}{6000}=\frac{1}{3}\)
P(A3) = P(that the machine A3 produces screws) = \(\frac{3000}{6000}=\frac{1}{2}\)
Let B be the event that the chosen screw is defective
\(\therefore\) P(B/A1) = P(that defective screw from the machine A1) = 0.01
P(B/A2) = P(that defective screw from the machine A2) = 0.015 and
P(B/A3) = P(that defective screw from the machine A3) = 0.02
We have to find P(A1/B)
Hence by Baye’s theorem, we get
\(P(A_1/B)=\frac{P(A_1)P(B/A_1)}{P(A_1)P(B/A_1)+P(A_2)P(B/A_2)+P(A_3)P(B/A_3)}\)
\(=\frac{(\frac{1}{6})(0.01)}{(\frac{1}{6})(0.01)+(\frac{1}{3})(0.015)+(\frac{1}{2})(0.02)}\)
= \(\frac{0.01}{0.01+0.03+0.06}=\frac{0.01}{0.1}=\frac{1}{10}\)
6.
| CI | f | cf |
| 10-20 | 12 | 12 |
| 20-30 | 19 | 31 |
| 30-40 | 5 | 36 |
| 40-50 | 10 | 46 |
| 50-60 | 9 | 55 |
| 60-70 | 6 | 61 |
| 70-80 | 6 | 67 |
| N=67 |
Q1 = Size of \(\left( \frac { N }{ 4 } \right) ^{ th }\)value =\(\left( \frac { 67 }{ 4 } \right) ^{ th }\)= 16.75th value Thus Q1 lies in the class 20 – 30; and the corresponding values are
L = 20,\(\frac { N }{ 4 } \) = 16.75 ; pcf = 12, f = 19, c = 10
\({ Q }_{ 1 }=L+\left( \frac { \frac { N }{ 4 } -pcf }{ f } \right) \times c\)
\({ Q }_{ 1 }=20+\left( \frac { 16.75-12 }{ 19 } \right) \times 10\)= 20 + 2.5 = 22.5
Q3 = Size of \(\left( \frac { 3N }{ 4 } \right) ^{th}\) value = 50.25th value
Thus Q3 lies in the class 50 – 60 and corresponding values are
L = 50 ; \(\frac { 3N }{ 4 } \)= 50.25 ; pcf = 46, f = 9, c = 10
\({ Q }_{ 3 }=L+\left( \frac { \frac { 3N }{ 4 } -pcf }{ f } \right) \times c\)
\({ Q }_{ 3 }=20+\left[ \frac { 50.25-46 }{ 9 } \right] \times 10=54.72\)
\(QD=\frac{1}{2}(Q_3-Q_1)\)
\(=\frac { 54.72-22.5 }{ 2 } =16.11\)
\(\therefore\) QD = 16.11
7.
6, 8, 9, 10, 11, 12, 14
\(\therefore \) Median = 10
8.
(b)
Q2
9.
(a)
Arithmetic mean
10.
(c)
Zero
11.
(c)
Geometric mean
12.
Since A and B are independent events then P(A∩B) = P(A) P(B)
Given that P(A) =\(\frac{3}{5}\) and P(B) =\(\frac{1}{5}\),
then P(A∩B) =\(\frac { 3 }{ 5 } \times \frac { 1 }{ 5 } =\frac { 3 }{ 25 } \)
13.
S = {(1, 1) (1, 2) (1,3), ..... (6, 6)}
(2, 1), (2, 2) ...... (2, 6)
(6, 1), (6, 2) ..... (6, 6)}
n(S) = 36
Let B be the event that sum of numbers appearing is 6
B = {(1, 5), (2, 4), (3, 3), (4, 2), (5, 1)}
\(P(B)=\frac{5}{36}\)
Let A be the event that 4 has appeared atleast once
A = {(2, 4), (4, 2)}
\(A\cap B\) = {(2, 4),(4, 2)}
\(P(A\cap B)=\frac{2}{36}\)
\(P(A/B)=\frac { P(A\cap B) }{ P(B) } =\frac { 2/36 }{ 5/36 } =\frac { 2 }{ 5 } \)
11th Standard Syllabus & Materials
11th Standard
TN 11th Tamil பீடு பெற நில் - செய்யுள் - காவடிச்சிந்து Important Questions And Answers Study Material - QB365 Set A
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Tamilnadu Stateboard 11th Standard Subjects

Maths

Commerce

Economics

Biology

Business Maths and Statistics

Accountancy

Computer Science

Physics

Chemistry

Maths

Biology

Economics

Physics

Chemistry

History

Business Maths and Statistics

Computer Science

Accountancy

Computer Applications

History

Computer Technology

Commerce

Computer Applications

Computer Technology

Tamil

English

French
Tamilnadu Stateboard Standards