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Published on: 04/06/2021
QB365 provides detailed and simple solution for every Book back Questions in class 12 Business Maths Subject. It will helps to get more idea about question pattern in every book back questions with solution.
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.
An Enquiry was made into the budgets of the middle class families in a city gave the following information.
| Expenditure | Food | Rent | Clothing | Fuel | Rice |
| Price(2010) | 150 | 50 | 100 | 20 | 60 |
| Price(2011) | 174 | 60 | 125 | 25 | 90 |
| Weights | 35 | 15 | 20 | 10 | 20 |
What changes in the cost of living have taken place in the middle class families of a city?
2.
From the following data, calculate the trend values using fourly moving averages.
| Year | 1990 | 1991 | 1992 | 199 | 1994 | 1995 | 1996 | 1997 | 1998 |
| Sales | 506 | 620 | 1036 | 673 | 588 | 696 | 1116 | 738 | 663 |
3.
Calculate by a suitable method, the index number of price from the following data:
| Commodity | 2002 | 2012 | ||
| Price | Quantity | Price | Quantity | |
| A | 10 | 20 | 16 | 10 |
| B | 12 | 34 | 18 | 42 |
| C | 15 | 30 | 20 | 26 |
4.
State the different methods of measuring trend.
5.
Write a brief note on seasonal variations
1.
| Expenditure | Weights (V) | Rent 2010 (p0) | Price 2011 (p1) | P = \(\frac {p_{1}}{p_{0}} \times 100\) | PV |
| Food | 35 | 150 | 174 | 116 | 4060 |
| Rent | 15 | 50 | 60 | 120 | 1800 |
| Clothing | 20 | 100 | 125 | 125 | 2500 |
| Fuel | 10 | 20 | 25 | 125 | 1250 |
| Rice | 20 | 60 | 90 | 150 | 3000 |
| 100 | 12610 |
Cost of living index number = \(\frac {\sum PV}{\sum V}\) = \(\frac {12610}{100}\) = 126.10
∴ The cost ofliving has increased upto 26.10% in 2011 as compared to 2010.
2.
The treand values is using fourly moving average given below
| Year | Sales | 4 Yearly moving total | 4 Yearly moving average |
| 1990 | 506 | - | - |
| 1991 | 620 | ||
| 2835 | 708.75 | ||
| 1992 | 1036 | ||
| 2917 | 729.25 | ||
| 1993 | 673 | ||
| 2993 | 748.25 | ||
| 1994 | 588 | ||
| 3073 | 768.25 | ||
| 1995 | 696 | ||
| 3138 | 784.5 | ||
| 1996 | 1116 | ||
| 3213 | 803.25 | ||
| 1997 | 738 | ||
| 1998 | 663 |
3.
| Commodity | 2002 | 2012 | ||
| Price(p0) | q(0) | p1 | q1 | |
| A | 10 | 20 | 16 | 10 |
| B | 12 | 34 | 18 | 42 |
| C | 15 | 30 | 20 | 26 |
| p0q0 | p0q1 | p1q0 | p1q1 |
| 200 | 100 | 320 | 160 |
| 408 | 504 | 612 | 756 |
| 450 | 390 | 600 | 520 |
| 1058 | 994 | 1532 | 1436 |
Laspeyre's price index number
\(P^{L}_{01}\) = \({\frac {\sum p_{1}q_{0}}{\sum p_{0}q_{0}}} \times 100\)
= \(\frac {1532}{1058} \times 100\) = 144.8
Paasche's pirce index number
\(P^{L}_{01}\) = \({\frac {\sum p_{1}q_{1}}{\sum p_{0}q_{1}}} \times 100\)
= \(\frac {1436}{994} \times 100\) = 144.4
4.
The different methods of measurements of trends are
(i) Free hand or graphic method
(ii) Method of semi averages
(iii) Method of moving averages
(iv) Method of least squares
5.
Tendency movements are due to nature, which repeat themselves periodically in every seasons. These variations repeat themselves in less than one year time. It is measured in an interval of time.
Seasonal variations may be influenced by natural force, social customs and traditions.
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