NCERT Solutions for Class 11 Commerce Economics Chapter 4 Presentation Of Data are provided here with simple step-by-step explanations. These solutions for Presentation Of Data are extremely popular among Class 11 Commerce students for Economics Presentation Of Data Solutions come handy for quickly completing your homework and preparing for exams. All questions and answers from the NCERT Book of Class 11 Commerce Economics Chapter 4 are provided here for you for free. You will also love the ad-free experience on Meritnation’s NCERT Solutions. All NCERT Solutions for class Class 11 Commerce Economics are prepared by experts and are 100% accurate.

Page No 56:

Question 1:

Bar diagram is a

(i) one-dimensional diagram

(ii) two-dimensional diagram

(iii) diagram with no dimension

(iv) none of the above

Answer:

Bar diagrams are One-dimensional diagrams. These are represented on a plane of two axis and depicts the relationship between the two variables (plotted on the either axis) in form of rectangular bars.

Page No 56:

Question 2:

Data represented through a histogram can help in finding graphically the

(i) mean

(ii) mode

(iii) median

(iv) all the above

Answer:

Graphically mode can be determined by presenting the data in the form of Histogram. The highest Histogram indicates the modal class. The intersection point of the lines diagonally joining the two top corners of the modal rectangles to the corners of the adjacent Histograms indicates the Modal Value.

Page No 56:

Question 3:

Ogives can be helpful in locating graphically the

(i) mode

(ii) mean

(iii) median

(iv) none of the above

Answer:

Graphically, Median can be determined by the intersection point of Less than Ogive and More than Ogive. The value of x-axis corresponding to the intersection point indicates the median.

Page No 56:

Question 4:

Data represented through arithmetic line graph help in understanding

(i) long-term trend

(ii) cyclicity in data

(iii) seasonality in data

(iv) all the above

Answer:

Data represented through arithmetic line graph (or time series graph) helps in understanding the long-term trend and periodicity.

Page No 56:

Question 5:

Width of bars in a bar diagram need not be equal (True/False).

Answer:

The above statement is false as all bars in a bar diagram need to be of equal width. Moreover, all bars are at equal distance from each other.

Page No 56:

Question 6:

Width of rectangles in a histogram should essentially be equal (True/False).

Answer:

The above statement is false, as the width of all rectangles in a histogram may or may not be equal. The width of a rectangle depends on the width of its corresponding class interval.

Page No 56:

Question 7:

Histogram can only be formed with continuous classification of data (True/False).

Answer:

Yes, a Histogram can only be formed with the continuous classification of data. The frequency distribution of a continuous series is graphically presented in form of a Histogram. If the given data is not continuous, then it is to be converted into exclusive series before presenting the data in the form of Histogram. Histograms can never be prepared for discrete series.



Page No 57:

Question 8:

Histogram and column diagram are the same method of presentation of data (True/False).

Answer:

The above statement is false. This is because Histogram and column diagram are different method of presentation. While the Histogram is a Two-dimensional diagram, the bar diagram is a One-dimensional diagram. Histograms are prepared for the continuous series, whereas the bar diagrams are prepared for the discrete series. Further, Histograms are drawn continuously without any space between two consecutive Histograms, whereas the space is must between two bars in a bar diagram.

Page No 57:

Question 9:

Mode of a frequency distribution can be known graphically with the help of histogram (True/False).

Answer:

The above statement is true. Graphically, mode can be determined by presenting the data in the form of Histogram. The highest Histogram indicates the modal class. The intersection point of the lines diagonally joining the two top corners of the modal rectangles to the corners of the adjacent Histograms indicates the Modal Value.

Page No 57:

Question 10:

Median of a frequency distribution cannot be known from the ogives (True/False).

Answer:

The statement is false. Graphically Ogives can be determined by the intersection point of the less than Ogive and more than Ogive. The value of x-axis corresponding to the intersection point indicates the median.

Page No 57:

Question 11:

What kinds of diagrams are more effective in representing the following?

(i) Monthly rainfall in a year

(ii) Composition of the population of Delhi by religion

(iii) Components of cost in a factory

Answer:

(i) The monthly rainfall in a year can be best represented by a bar diagram as only one variable i.e. monthly rainfall is to be compared visually. The highest bar diagram indicates the highest rainfall in the corresponding month that is plotted on the x-axis.

(ii) Composition of the population of Delhi by religion can be represented by a simple bar diagram. Plotting different religion on the x-axis and the number of people on the y-axis, one can easily compare the number of the population religion-wise..

(iii) In order to represent different components of cost in a factory, a pie chart is more effective. The entire circle represents the total cost and various components of costsare shown by different portions of the circle.

Page No 57:

Question 12:

Suppose you want to emphasise the increase in the share of urban non-workers and lower level of urbanisation in India as shown in Example 4.2. How would you do it in the tabular form?

Answer:

Share of Rural and Urban Non-workers in India

 

Non-workers in Urban

Non-workers in Rural

Total Non-workers Population

(1)

(2)

(3) = (1) + (2)

19,31,38,837

42,96,00,032

62,27,38,869

Source: Census of India, 2001

We can infer from the above table that the absolute number of the rural non-workers is greater than the absolute number of the urban non-workers. The higher ( lower) share of the rural non-workers (urban non-workers) reveals lower degree of urbanisation in India.

NOTE: As there is no Example 4.2 in the book, so the following data have been adapted from Census of India, 2001.


 

Page No 57:

Question 13:

How does the procedure of drawing a histogram differ when class intervals are unequal in comparison to equal class intervals in a frequency table?

Answer:

A Histogram of equal class intervals has equal width of all rectangles indicating the same class intervals. In contrast, a Histogram of unequal class intervals has rectangles of varying width as per their corresponding class intervals. Before constructing a Histogram, frequencies of unequal class intervals are to be adjusted. The adjustment factor of each class is calculated with the following formula.

 

And the adjusted frequency will be calculated by dividing the original frequency by adjustment factor.

 

Page No 57:

Question 14:

The Indian Sugar Mills Association reported that, ‘Sugar production during the first fortnight of December 2001 was about 3,87,000 tonnes, as against 3,78,000 tonnes during the same fortnight last year (2000). The off-take of sugar from factories during the first fortnight of December 2001 was 2,83,000 tonnes for internal consumption and 41,000 tonnes for exports as against 1,54,000 tonnes for internal consumption and nil for exports during the same fortnight last season.’

(i) Present the data in tabular form.

(ii) Suppose you were to present these data in diagrammatic form which

of the diagrams would you use and why?

(iii) Present these data diagrammatically.

Answer:

(i)

Sugar Production in India

Month, Year

Total Production

Internal Consumption

Export of Sugar

(tonnes)

(tonnes)

(tonnes)

Dec, 2000

3,78,000

1,54,000

–

 

 

 

 

Dec, 2001

3,87,000

2,83,000

41,000


(ii) With a view to present the data diagrammatically the multiple bar diagram can be effectively used.

(iii)


 

Page No 57:

Question 15:

The following table shows the estimated sectoral real growth rates

(percentage change over the previous year) in GDP at factor cost.

Year

Agriculture and allied sectors

Industry

Services

(1)

(2)

(3)

(4)

1994–95

5.0

9.2

7.0

1995–96

–0.9

11.8

10.3

1996–97

9.6

6.0

7.1

1997–98

–1.9

5.9

9.0

1998–99

7.2

4.0

8.3

1999–2000

0.8

6.9

8.2

Represent the data as multiple time series graphs.

 

Answer:



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