NCERT Solutions for Class 11 Commerce Economics Chapter 2 Collection Of Data are provided here with simple stepbystep explanations. These solutions for Collection Of Data are extremely popular among Class 11 Commerce students for Economics Collection 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 2 are provided here for you for free. You will also love the adfree 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 20:
Question 1(i):
Which of the following is the most important when you buy a new dress?
Answer:
Which of the following is the most important when you buy a new dress?
a. Colour
b. Brand
c. Price
d. Size
Page No 21:
Question 1(ii):
How often do you use computers?
Answer:
How often do you use computers?
a. Less than 1 hour a day
b. 1 to 3 hours a day
c. 3 to 5 hours a day
d. More than 5 hours
Page No 21:
Question 1(iii):
Which of the following newspaper/s do you read regularly?
Answer:
Which of the following newspaper/s do you read regularly?
a. The Times of India
b. The Hindustan Times
c. Indian Express
d. The Tribune
Page No 21:
Question 1(iv):
Rise in the price of petrol is justified.
Answer:
Rise in the price of petrol is justified.
a. Because of rise in demand of petrol
b. Because of rise in supply of petrol
c. Because of rise in petrol duty
d. Because of no close substitute for petrol
Page No 21:
Question 1(v):
What is the monthly income of your family?
Answer:
What is the monthly income of your family?
a. Less than Rs 10,000
b. Rs 10,000 to Rs 20,000
c. Rs 20,000 to Rs 30,000
d. More than Rs 30,000
Page No 21:
Question 2:
Frame five twoway questions (with ‘Yes’ or ‘No’).
Answer:
a. Do you smoke?
b. Do you use cosmetics daily?
c. Have you ever being to any foreign country?
d. Are you satisfied with your present income?
e. Do you have a twowheeler?
Page No 21:
Question 3(i):
There are many sources of data (true/false).
Answer:
There are many sources of data. False
There are only two sources of data primary and secondary data sources. The collection of data from its original source is termed as primary source of data. On the other hand, the collection of data that has already been collected by somebody else in the past is termed as secondary source of data.
Page No 21:
Question 3(ii):
Telephone survey is the most suitable method of collecting data, when the population is literate and spread over a large area (true/false).
Answer:
Telephone survey is the most suitable method of collecting data when the population is literate and spread over a large area. False
In a Telephone Survey, the investigator asks question over the phone or mobile. So, there is no need for the person to read the survey form. Hence, this method of collecting information is the most suitable for the illiterate population spread over a large area. Moreover, this method is less time consuming as the investigator need not to visit each person individually from door to door.
Page No 21:
Question 3(iii):
Data collected by investigator is called the secondary data (true/false).
Answer:
Data collected by an investigator is called the secondary data. False
The data collected by an investigator is called the primary data, whereas, the data that is already in existence being collected by any other investigator is known as secondary data.
Page No 21:
Question 3(iv):
There is a certain bias involved in the nonrandom selection of samples (true/false).
Answer:
There is a certain bias involved in the nonrandom selection of samples. True
Nonrandom selection of items obstructs the equal chance of every item of the Universe of getting selected. Hence, there may be a high probability of involvement of personal biasness of the investigator in the nonrandom sample selected.
Page No 21:
Question 3(v):
Nonsampling errors can be minimised by taking large samples (true/ false).
Answer:
Nonsampling errors can be minimised by taking large samples. False
The errors that are related to the collection of data are termed as Nonsampling Errors. If the field of investigation or the population size is large, then the possibility of Nonsampling Errors also increases. So, Nonsampling Errors maximises by taking large samples.
Page No 21:
Question 4(ii):
If plastic bags are only 5 percent of our garbage, should it be banned?
Answer:
The particular question, ‘If plastic bags are only 5 percent of our garbage, should it be banned?’ is too long which discourages people to complete the questionnaire.
The correct question should be:
Do you think use of plastic bags should be banned?
a) Yes
b) No
Page No 21:
Question 4(iv):
(a) Do you agree with the use of chemical fertilisers?
(b) Do you use fertilisers in your fields?
(c) What is the yield per hectare in your field?
Answer:
The chronological order of the questions asked is incorrect. The order lacks the direction of causation. It should move from general to specific that makes the respondents easy and comfortable
(i) The correct order of the above questions should be: What is the yield per hectare in your field?
(ii) Do you use fertilisers in your fields?
(iii) Do you agree with the use of chemical fertilisers?
Page No 21:
Question 4(iii):
Wouldn’t you be opposed to increase in price of petrol?
Answer:
Although the answer to this question needs a wider view and knowledge of the economic condition and far reaching effect of rise in petrol price, but the majority of people will argue against such rise. Thus, more effective question could be:
Do you think the hike of prices of petrol is justified?
a) Yes
b) No
Page No 21:
Question 4(i):
How far do you live from the closest market?
Answer:
This question is ambiguous. The respondents will not be able to answer the question correctly. The correct question should be:
How many kilometers is your home away from the closest market?
a) Less than 1 km
b) Between 1 km to 2 km
c) More than 2 km
Page No 21:
Question 5:
You want to do a research on the popularity of Vegetable Atta Noodles among children. Design a suitable questionnaire for collecting this information.
Answer:
QUESTIONNAIRE Popularity of Vegetable Atta Noodles
Name ………………………… Age ……………………. Address ……………………… Sex: Male Female
1. Do you like Vegetable Atta Noodles? (a) Yes (b) No
2. Do you find this reasonable? (a) Yes (b) No
3. How many packets do you consume in a month? (a) 1 – 2 Packets (b) 2 – 3 Packets (c) 3 – 6 Packets (d) More than 6 packets
4. Do you prefer Atta noodles over Maida noodles? (a) Yes (b) No
5. Which Vegetables according to you should be added in present Atta noodles?
……………………………………………………………..
6. Do you think it should be spicier? (a) Yes (b) No
7. At what time of the day do you prefer the Atta noodles the most? (a) Day (b) Afternoon (c) Evening (d) Night
8. Do your parents accompany you while having noodles? (a) Yes (b) No

Page No 21:
Question 6:
In a village of 200 farms, a study was conducted to find the cropping pattern. Out of the 50 farms surveyed, 50% grew only wheat. Identify the population and the sample here.
Answer:
Population refers to the aggregate or the total items to be studied for an investigation. So, the population here is 200 farms.
Sample is the subset of the population. In other words, a small set selected from the population for statistical study is referred as sample population.
Out of 200 farms, only 50 farms are selected for survey; therefore, the sample population is 50 farms.
Page No 21:
Question 7:
Give two examples each of sample, population and variable.
Answer:
Sample is the subset of the population. In other words, a small set selected from the population for statistical study is referred as sample population. For example, in order to study the growth pattern of students, the heights of 50 students (sample) are recorded from a school of 500 students (population). Similarly, in order to record the level of sugar in the blood, blood sample of 2000 people (sample) was taken from 20,000 people (population).
Population refers to the aggregate or the total items to be studied for an investigation. In the above examples, 500 students and 20,000 people constitute the population.
Variables are the characteristics of a sample or population that can be expressed in numbers such as, height, income, age, etc.
Page No 21:
Question 8:
Which of the following methods give better results and why?
(a) 
Census 
(b) 
Sample 
Answer:
Sample Method gives better results than the Census Method due to the following reasons.
1. Accuracy Although census method provides more accurate and reliable results as compared to the sample method but in the sample method the errors can be easily located and rectified in the sampling methods due to the smaller number of items. Therefore, despite sample method providing lesser reliable results (as not all units are studied) yet the sample method is efficient in a sense that errors committed can be easily located.
2. Less Time and Energy Consuming The Sample Method involves study of fewer items of the universe. So, this method not only saves time but also energy of the investigator.
3. Cost Efficient The cost of approaching each individual unit for interrogation and collection of data is comparatively lower due to small size of sample.
4. Lesser Nonsampling Errors The probability of Nonsampling Errors is also low as the sample size is smaller as compared to that of the Census Method.
5. More Efficient As the sample size is smalle, so the small teams of enumerators can be formed. These small teams can easily be well trained and supervised. Consequently, the team can work more efficiently than the team engaged in the Census Method.
Page No 21:
Question 9:
Which of the following errors is more serious and why?
(a)

Sampling error 
(b)

NonSampling error 
Answer:
Nonsampling Errors are more serious than the Sampling Errors because the latter can be minimised by taking a larger sample. Nonsampling Errors emerge due to the use of faulty means of collection of data, whereas, the Sampling Errors emerge due to the divergence between the estimated and the actual value of a parameter of a small sized sample population. For example, errors due to personal biasness, misinterpretation of results, miscalculations, etc.
The Sampling Errors can be minimised by increasing the size of a small sample, so that the difference between the actual and the estimated value is reduced. But the Nonsampling Errors are difficult to rectify as it would require selection of a new sample and conducting a fresh survey. Thus, Nonsampling Errors are more serious than the Sampling Errors.
Page No 21:
Question 10:
Suppose there are 10 students in your class. You want to select three out of them. How many samples are possible?
Answer:
Population = 10
$\begin{array}{rcl}\mathrm{Number}\mathrm{of}\mathrm{possible}\mathrm{samples}& =& {}^{n}C_{r}={}^{10}C_{3}\\ & =& \frac{10!}{3!\left(103\right)!}\\ & =& \frac{10!}{3!7!}\\ & =& 120\end{array}$Thus, 120 samples are possible in the above scenario.
Page No 21:
Question 11:
Discuss how you would use the lottery method to select 3 students out of 10 in your class?
Answer:
The following method can be used while selecting 3 students out of 10 of the class.
(i) Make ten paper slips of equal size.
(ii) Write the name of each student on each slip.
(iii) Make sure that no two slips contain the same names.
(iv) Now, put all the slips in a box and mix them well.
(v) Draw three slips at random without replacement (i.e. one by one).
(vi) The names of the three students that are written on the three slips drawn are considered as selected.
Page No 21:
Question 12:
Does the lottery method always give you a random sample? Explain.
Answer:
Yes, the lottery method always gives a random sample’s outcome. In a random sample, each individual unit has an equal chance of getting selected. Similarly, in a lottery method, each individual unit is selected at random from the population and thereby has equal opportunity of getting selected. For example, in order to select a student as monitor, the slips containing the names of all the students are mixed well, and then a slip is drawn out at random. In this case, all students of the class have equal chance of getting selected. The probability of a student getting selected through the lottery method is exactly same as the probability of any one student randomly selected.
Page No 21:
Question 13:
Explain the procedure of selecting a random sample of 3 students out of 10 in your class, by using random number tables.
Answer:
The procedure of selecting random sample of 3 students out of 10 in a class is as follows:
1. Assign a particular number between 1 to 10 to all the 10 students like, 01, 02, 03, 04, 05, 06, 07, 08, 09, 10.
2. Select a number randomly. Let us assume that the number selected is 05.
3. Consult the TwoDigit Random Number Table, two numbers successive to the selected random number (i.e. 05) either horizontally or vertically are the remaining two students (i.e. 06 and 07).
Page No 21:
Question 14:
Do samples provide better results than surveys? Give reasons for your answer.
Answer:
Samples provide better results than surveys. The advantages of samples over survey are as follows:
1. Provides Reliable and Accurate Results The Sample Method provides reliable and accurate results. This is because of the fact that errors can be easily located and rectified in the sampling methods due to the smaller number of items.
2. Less Time and Energy Consuming The Sample Method involves study of fewer items of the universe. So, this method not only saves time but also energy of the investigator.
3. Cost Efficient The cost of approaching each individual unit for interrogation and collection of data is comparatively lower due to the small size of sample.
4. Lesser Nonsampling Errors The probability of Nonsampling Errors is also low as the sample size is smaller.
5. More Efficient As the sample size is smaller, so small teams of enumerators can be formed. These small teams can easily be well trained and supervised. Consequently, the team is more efficient than that of the team engaged in the surveys.
6. Large Investigations When the size of the population is very large and inapproachable, the method of sample is the most feasible.
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