Collection of Data Class 11: Sources, Surveys, Sampling and Errors
Updated 15 October 2026 · Fact-checked
Collection of Data is Chapter 2 of CBSE Class 11 Statistics for Economics. It covers primary and secondary sources, how data are collected through surveys and questionnaires (interviews, mail and telephone, pilot survey), census and sample surveys, random and non-random sampling, sampling and non-sampling errors, and the Census of India and NSS.
What Collection of Data is about
Every statistical study begins with data. This chapter answers three questions: where do data come from, how are they collected, and how accurate are they?
Data are primary when the investigator collects them first-hand for the purpose at hand (a survey you conduct), and secondary when they have already been collected by someone else and are used again (Census reports, RBI bulletins, NSS reports). Primary data are collected through a survey, usually with a questionnaire or interview schedule, by personal interview, mail or telephone; a small pilot survey first tests the questionnaire.
A survey can cover every unit of the population (census or complete enumeration) or only a part (sample). Samples save time and money, and if they are representative they give reasonably accurate results. Sampling can be random (every unit has an equal chance, using lottery or random number tables) or non-random (judgement, convenience, quota). No sample is perfect: the gap between a sample estimate and the true value is the sampling error, which falls as the sample grows; non-sampling errors (bias, non-response, recording mistakes) can occur even in a census and are harder to control. Finally, the chapter introduces India's main data agencies, the Census of India and the National Sample Survey.
Weightage: This chapter is part of Unit 2, Collection, Organisation and Presentation of Data. The syllabus groups Unit 2 with Unit 1, Introduction: together they carry 15 of the 80 theory marks in the school annual exam.Source: CBSE Economics (030) syllabus 2026-27, Class XI course structure, Unit 2 Collection, Organisation and Presentation of Data
Key concepts
- Sources of data: primary and secondary
- NCERT section 2
Primary data: collected by the investigator for the first time, directly from the source, for a specific purpose. Example: a student surveys 60 households in her locality on their electricity use.
Secondary data: data already collected by someone else, and used by the investigator from published or unpublished sources. Example: using the Census of India population figures or the RBI's data on bank deposits.
Basis Primary data Secondary data Originality Original, first-hand Already collected; used again Cost and time Costly, time-consuming Cheap, quick Suitability Fits the purpose exactly May need adjusting; may not fit Reliability Known to the investigator Must be checked before use Collected by The investigator Some other agency or person Before using secondary data, check: who collected them and why, the definitions and units used, the period covered, and whether they are accurate and suitable for your purpose.
Worked example
Classify: (a) a firm interviews 200 customers about its new soap; (b) a researcher uses NSS reports on household spending; (c) a student uses data from a newspaper article on crop output.
Try it first, then show the solutionSolution
- (a) Collected first-hand for the purpose: primary
- (b) and (c) Collected earlier by others: secondary
Answer: (a) Primary; (b) and (c) secondary.
- Preparing a questionnaire
- NCERT section 3
A questionnaire (filled in by the respondent) or interview schedule (filled in by the interviewer) is the main tool for collecting primary data. A good one:
1. Is short, with only the questions needed for the purpose.
2. Asks questions in a logical order, from general to specific.
3. Uses simple, clear words; avoids technical terms and ambiguity ("Do you eat often?" is vague).
4. Avoids leading questions ("Don't you think the new tax is unfair?") and questions with two ideas in one ("Do you like tea and coffee?").
5. Avoids questions that are personal or embarrassing, or that need calculations or long memory.
6. Uses mostly closed-ended questions (yes/no; multiple choice) which are easy to answer and tabulate, with some open-ended questions where opinions are wanted.
7. Begins with a short introduction stating the purpose, and promises confidentiality.Worked example
Improve these questions: (a) "How much do you spend on food in a year?" (b) "Don't you agree that online shopping is better?" (c) "Do you own a car and a scooter?"
Try it first, then show the solutionSolution
- (a) Needs calculation and memory: ask "How much did your family spend on food last month?" with ranges
- (b) Leading: ask "Which do you prefer for buying clothes? (online / shop / both)"
- (c) Two questions in one: split into "Do you own a car?" and "Do you own a scooter?"
Answer: Use recent periods and ranges, neutral wording, and one idea per question.
- Modes of collecting data and the pilot survey
- NCERT section 3
Mode Advantages Disadvantages Personal interview Highest response rate; doubts can be cleared; complex questions possible; interviewer can observe Costly; needs trained interviewers; takes longer; respondent may be influenced by the interviewer Mail (questionnaire) survey Cheapest for a wide area; respondent answers at leisure; no interviewer influence Needs literate respondents; low response rate; no chance to clarify doubts; slow Telephone interview Cheaper and quicker than personal visits; doubts can be cleared; covers a wide area Only people with phones; no visual reactions; respondents may hang up Online forms today work much like mail surveys (cheap and wide but with low response and limited to internet users).
Pilot survey (pre-testing): before the main survey, the questionnaire is tried on a small group. It shows which questions are unclear or unnecessary, how long the interview takes, what problems interviewers face, and roughly what the survey will cost, so the questionnaire can be improved.
Worked example
Suppose you want views of illiterate farmers in a district on a new irrigation scheme. Which mode will you use and why?
Try it first, then show the solutionSolution
- Mail needs literate respondents: unsuitable
- Telephone may miss farmers without phones and cannot show visuals
- Personal interviews allow questions to be explained in the local language
Answer: Personal interviews.
- Census and sample methods; population and sample
- NCERT section 4
Population (universe): all the items or individuals about whom information is wanted (for example, all households in a town).
Census (complete enumeration): data are collected from every unit of the population. The Census of India is the best example.
- Merits: accurate and complete; covers every unit; suitable when the population is small or every unit must be known.
- Demerits: very costly and time-consuming; needs a large staff; impossible when units are destroyed by testing.
Sample method: data are collected from a sample, a part of the population chosen to represent it.
- Merits: less cost, time and labour; more detailed questions possible; the only method when testing destroys the item (testing bulbs); results can be fairly accurate if the sample is representative.
- Demerits: sampling error; a biased sample gives wrong results; needs skill to design.
A representative sample has the same broad characteristics as the population (for example, the same mix of kuchha and pucca houses as the whole village).
Worked example
Which method suits each: (a) checking the life of electric bulbs made in a factory; (b) finding the number of members in a club of 40 people; (c) estimating the average height of Class 11 students in India?
Try it first, then show the solutionSolution
- (a) Testing destroys the bulbs: sample
- (b) Small population: census
- (c) Very large population: sample
Answer: (a) Sample; (b) census; (c) sample.
- Random and non-random sampling
- NCERT section 4
Random sampling: every unit of the population has an equal chance of being selected; the choice is not left to the investigator.
- Lottery method: write each unit's name or number on identical slips, mix them, and draw the required number.
- Random number tables (or computer-generated random numbers): number the units, then read numbers from the table and pick the units with those numbers.
- Free from personal bias; results can be judged for accuracy; suits fairly similar populations.
Non-random sampling: units do not have an equal chance; the investigator's judgement or convenience decides.
- Judgement (purposive): the investigator picks units he thinks are typical.
- Convenience: units easiest to reach are picked.
- Quota: the population is divided into groups and a quota is filled from each group by the investigator's choice.
- Quick and cheap, but open to bias; results cannot be checked for accuracy.
Worked example
Suppose a teacher wants 5 students out of 40 for a survey. She numbers them 01-40 and reads two-digit numbers from a random number table, skipping numbers above 40 and repeats. What method is this, and why is it fair?
Try it first, then show the solutionSolution
- Selection is by random numbers, not by her choice
- Each student has the same chance of selection
Answer: Random sampling with random number tables; fair because every student has an equal chance.
- Sampling and non-sampling errors
- NCERT section 5
Sampling error: the difference between the sample estimate and the actual population value (parameter), arising because only a part of the population is studied.
Sampling error = Population value − Sample estimate
It can be reduced by taking a larger sample and by random selection.
Non-sampling errors: errors that are not due to sampling and can occur even in a census. They are more serious, because a bigger sample does not cure them.
- Sampling bias: the sampling plan leaves out some members of the population (e.g. a phone survey misses people without phones).
- Non-response errors: selected people cannot be contacted or refuse to answer.
- Errors in data acquisition: wrong answers, measurement differences, or recording mistakes (writing 13 instead of 31).
Suppose the daily earnings of five fruit sellers are ₹320, ₹360, ₹410, ₹480 and ₹530; the population mean is 2,100 ÷ 5 = ₹420.
Worked example
For the five fruit sellers (mean ₹420), find the sampling error if the sample is (a) ₹320 and ₹410; (b) ₹360 and ₹480.
Try it first, then show the solutionSolution
- (a) Sample mean = (320 + 410) ÷ 2 = ₹365; error = 420 − 365 = ₹55
- (b) Sample mean = (360 + 480) ÷ 2 = ₹420; error = ₹0
Answer: (a) ₹55; (b) zero: a sample can by chance hit the true value, but we cannot rely on it.
- Census of India and the National Sample Survey
- NCERT section 6
India has national agencies that collect and publish data, among them the Census of India (under the Registrar General of India), the National Sample Survey (NSS), the Central Statistics Office (CSO), the Directorate General of Commercial Intelligence and Statistics (DGCIS) and the Labour Bureau. In 2019 the NSSO and CSO were merged into the National Statistical Office (NSO) under the Ministry of Statistics and Programme Implementation.
Census of India: the most complete and continuous record of India's population, conducted every ten years since 1881; the first after Independence was in 1951. It collects data on population size, density, sex ratio, literacy, migration and rural-urban distribution. As per the 2011 Census, India's population was 121.09 crore. The next Census, the first since 2011, has its reference date set as 1st March 2027.
National Sample Survey: set up by the Government of India to conduct nation-wide sample surveys on socio-economic issues in successive rounds: employment and unemployment, consumer expenditure, literacy and school enrolment, health and morbidity, use of the public distribution system, and enterprises. Results appear in reports and its journal Sarvekshana. These data are used for planning.
Worked example
Name the source you would use for: (a) the sex ratio of a state; (b) the share of household spending on food in rural India.
Try it first, then show the solutionSolution
- (a) Complete count of population characteristics: Census of India
- (b) Household consumer expenditure is surveyed in NSS rounds
Answer: (a) Census of India; (b) NSS (NSO) consumption expenditure survey.
Collection of Data in real life
Each concept, met in an everyday situation. Read the situation, answer the question in your own words, then compare with the model answer. The one-line hook is what to remember.
Leading questions
Suppose a juice brand asks shoppers: "Wouldn't you prefer our healthy, sugar-free juice over sugary drinks?"
What is wrong with the question and how would you reword it?
Try it first, then show the solutionSolution
- It is leading: it praises one option and pushes a "yes"
- Neutral version: "Which drink do you buy most often? (juice / soft drink / milk-based / none)"
Answer: It is a leading question; use neutral options.
Memory hook: A fair question never hints at the answer.
Sample vs census
Imagine a cook tasting one spoon of dal to check the salt in the whole pot.
Is this a census or a sample? When would it give a wrong answer?
Try it first, then show the solutionSolution
- One spoon represents the whole pot: a sample
- If the dal is not stirred, the spoon may not be representative
Answer: A sample; wrong if the pot is not well mixed (non-representative sample).
Memory hook: Stir before you taste: mix before you sample.
Non-response
Suppose an online form about exam stress is sent to all 600 students of a school and only 90 reply, mostly those who feel very stressed.
Can the results describe all students?
Try it first, then show the solutionSolution
- Only 15% responded, and they are not typical
- This is non-response with self-selection, a non-sampling error
Answer: No; results may overstate stress among all students.
Memory hook: Silent people are part of the population too.
Topics in this chapter
Collection of Data: key facts
- Sampling error
- Sampling error = Population parameter − Sample estimate
- Falls as sample size rises.
- Sample mean
- Sample mean = Sum of sample values ÷ Number of sample values
- An estimate of the population mean.
- Sampling fraction
- Sampling fraction = Sample size ÷ Population size
- 200 of 2,000 households = 10%.
- Chance of selection in simple random sampling
- Each unit has probability = n ÷ N of being selected
- Equal for every unit.
- Primary vs secondary
- Primary = first-hand, for the purpose; Secondary = collected earlier by others
- Same data can be primary for one user and secondary for another.
How the school exam asks Collection of Data
The question patterns to expect, and the method that works for each.
| Question type | How it is asked | Method |
|---|---|---|
| Primary vs secondary data | Classify sources; distinguish on 3-4 bases; precautions with secondary data. | Ask who collected the data and for what purpose. |
| Questionnaire | Qualities of a good questionnaire; correct faulty questions; frame questions for a survey. | Short, clear, neutral, one idea per question, mostly closed-ended. |
| Modes of survey | Compare personal interview, mail and telephone; choose a mode for a situation. | Use cost, response rate, literacy and reach as bases. |
| Census vs sample; types of sampling | Merits and demerits; random vs non-random; lottery and random tables. | Give a reason tied to size, cost, destruction of units or accuracy. |
| Sampling and non-sampling errors | Compute a sampling error; explain non-sampling errors; which is more serious. | Compute population and sample means; list the three non-sampling errors with examples. |
Tricks to remember Collection of Data
Short memory aids. Say each one aloud once, then use it on a question the same day.
Modes of survey: "PMT"
Personal (best response), Mail (cheapest), Telephone (quickest).
Use it when: Comparing survey modes.
Non-sampling errors: "BNA"
Bias in sampling, Non-response, Acquisition (recording) errors.
Use it when: Types of non-sampling errors.
Non-random types: "JCQ"
Judgement, Convenience, Quota.
Use it when: Kinds of non-random sampling.
Collection of Data: exam-level solved questions
Ordered from exam level to HOTS. Cover the solution, write your own, then compare step by step.
Example 1: Primary or secondary? · 1 mark · MCQExam level
Data taken from the RBI Bulletin by a researcher are:
(a) primary data
(b) secondary data
(c) qualitative data
(d) census data
Try it first, then show the solutionSolution
- The RBI collected them earlier; the researcher reuses them
Answer: (b) secondary data
Example 2: Which error is more serious? · 1 mark · Assertion-reasonExam level
Assertion (A): Non-sampling errors are more serious than sampling errors.
Reason (R): Sampling errors can be reduced by increasing the sample size.
(a) Both A and R are true and R explains A
(b) Both A and R are true but R does not explain A
(c) A is true but R is false
(d) A is false but R is true
Try it first, then show the solutionSolution
- Sampling error falls with a larger sample, but non-sampling errors do not, so they are harder to control
Answer: (a)
Example 3: Sampling error · 3 marks · Short answerHarder exam level
Suppose the weekly hours of self-study of six students are 8, 10, 12, 15, 20 and 25. Find the population mean and the sampling error for (a) a random sample of 10, 20 and 25 hours; (b) a random sample of 8, 12, 15 and 20 hours. What does the comparison suggest?
Try it first, then show the solutionSolution
- Population mean = 90 ÷ 6 = 15 hours
- (a) Sample mean = 55 ÷ 3 = 18.33; sampling error = 15 − 18.33 = −3.33 hours
- (b) Sample mean = 55 ÷ 4 = 13.75; sampling error = 15 − 13.75 = 1.25 hours
- The larger sample is closer here; in general, larger random samples tend to give smaller sampling errors
Answer: Mean 15 hours; errors −3.33 and 1.25 hours; enlarging a random sample tends to reduce the error.
Example 4: Choosing the mode of survey · 3 marks · Short answerHarder exam level
Suppose a company wants feedback quickly from 5,000 customers spread across India who bought its washing machine online and gave mobile numbers. Which mode of survey would you suggest, and what is one drawback?
Try it first, then show the solutionSolution
- Customers are spread out and have phones: telephone interviews (or an online form sent by SMS) are quick and cheap
- Personal interviews would be too costly; mail would be slow
- Drawback: some customers will not answer or will hang up (non-response), and responses cannot be observed
Answer: Telephone (or online) survey; drawback: non-response.
Example 5: Census vs sample · 4 marks · Long answerHarder exam level
Distinguish between the census method and the sample method on four bases, and say which you would use to estimate the average monthly rent paid by students in a large city.
Try it first, then show the solutionSolution
- Coverage: every unit vs a part
- Cost and time: high vs low
- Accuracy: complete (but non-sampling errors possible) vs sampling error present
- Suitability: small or varied populations, or when every unit matters vs large populations or destructive testing
- For rents in a large city, use a sample: the population is large and a representative sample gives a good estimate cheaply
Answer: Four bases as above; sample method for the rent study.
Example 6: Questionnaire for a survey · 4 marks · Long answerHarder exam level
Suppose you are studying how families in your area use cooking fuel. Frame five good questions and state two rules you followed.
Try it first, then show the solutionSolution
- 1. Which fuel does your family mainly use for cooking? (LPG / PNG / firewood / electricity / other)
- 2. How many members are there in your family? (number)
- 3. How many LPG cylinders did you use last month? (0 / 1 / 2 / more)
- 4. Has your main cooking fuel changed in the last 3 years? (yes / no)
- 5. If yes, why? (open-ended)
- Rules: closed-ended with clear options; one idea per question; recent period to avoid memory errors
Answer: Five clear, neutral questions; mostly closed-ended with one open-ended follow-up.
Example 7: Spot the errors · 4 marks · Long answerHOTS / competency
Suppose a survey on household income in a town interviews only people found at a shopping mall on Sunday, 30% of them refuse to answer, and an enumerator writes ₹18,000 as ₹81,000 for one family. Identify the errors and suggest how to avoid them.
Try it first, then show the solutionSolution
- Mall visitors on a Sunday are not representative of all households: sampling bias; use random selection from a list of households
- Refusals: non-response error; revisit, explain the purpose, assure confidentiality
- Writing 81,000 for 18,000: error in data acquisition (recording); double-check entries
- All three are non-sampling errors; a bigger sample alone would not remove them
Answer: Sampling bias, non-response and recording errors: all non-sampling errors.
Example 8: Random selection with a table · 3 marks · Short answerHOTS / competency
Suppose a block has 2,000 households numbered 0001-2000 and you need a random sample of 200. Explain how to select it using random number tables, and find each household's chance of selection.
Try it first, then show the solutionSolution
- Number the households 0001 to 2000
- Start anywhere in a random number table and read four-digit numbers
- Keep numbers between 0001 and 2000, skip others and repeats, until 200 are chosen
- Chance of selection = 200 ÷ 2,000 = 10% for each household
Answer: Use four-digit random numbers; each household has a 10% chance.
Case-study practice (Section E style)
Read the situation, then answer every part. In a school exam set on the board pattern this is a 4-mark question split into 1 + 1 + 2 marks.
A survey on mobile phone use in a village
Suppose a Class 11 group wants to know how farmers in a village of 400 households use mobile phones for crop prices. They plan to visit 40 households. Group member Arjun suggests choosing his relatives' houses as "they will cooperate"; Meera suggests drawing 40 numbers from a box of 400 numbered slips. They first try their questionnaire on 5 households.
(i) · 1 mark
Whose sampling method is random?
Answer
Answer: Meera's lottery method.
Every household has an equal chance; Arjun's choice is a convenience or judgement sample.
(ii) · 1 mark
What is trying the questionnaire on 5 households called, and why is it done?
Answer
Answer: A pilot survey.
It tests the questions for clarity, time taken and problems before the main survey.
(iii) · 2 marks
Is the data the group collects primary or secondary? Give one non-sampling error that may arise and how to reduce it.
Answer
Answer: Primary data; e.g. non-response.
The group collects the data first-hand. Some farmers may be away or unwilling (non-response); the group can revisit at a convenient time and explain the purpose. Recording mistakes can be reduced by checking forms the same day.
Where the marks are
How a typical answer is split into step marks. Show every step: a right final answer alone rarely earns full marks.
Distinguish between primary and secondary data on three bases. [3 marks] (3 marks)
| Step | Marks |
|---|---|
| Originality / collected by whom | 1 |
| Cost and time | 1 |
| Suitability or reliability | 1 |
State any four qualities of a good questionnaire. [4 marks] (4 marks)
| Step | Marks |
|---|---|
| Each quality with a one-line explanation or example (1 mark each) | 4 |
Explain sampling and non-sampling errors. Which is more serious and why? [6 marks] (6 marks)
| Step | Marks |
|---|---|
| Meaning of sampling error with a numerical example | 2 |
| Three kinds of non-sampling errors with examples | 3 |
| Non-sampling errors are more serious: not reduced by a larger sample | 1 |
Where students lose marks in Collection of Data
The slips examiners see most often, and what to write instead.
Mistake: Saying census data have no errors
A census covers everyone.
Do this: A census has no sampling error but can still have non-sampling errors (wrong answers, recording mistakes).
Usually costs: 1 mark.
Mistake: Calling convenience selection "random"
In daily speech "random" means "any".
Wrong working
"I picked any 10 households near my house: random sampling."
Right working
Random means equal chance for all, by lottery or random numbers; picking nearby houses is convenience sampling.
Do this: Use the statistical meaning of random.
Usually costs: 1 mark.
Mistake: Writing sampling error as sample value minus population value without a sign rule
Order is forgotten.
Do this: Use Sampling error = Population value − Sample estimate, as NCERT does, and keep the sign.
Usually costs: ½ mark.
Mistake: Listing questionnaire rules without examples
Rules look self-explanatory.
Do this: Show a bad question and its corrected version for at least two rules.
Usually costs: Half the marks in a 4-mark answer.
NCERT exercise guide: Collection of Data
What each exercise in the NCERT chapter tests, how to approach it, and a question of the same kind solved step by step. Questions here are written in our own words.
Exercises on questionnaires and modes of survey
What it tests: Framing good questions, choosing between interview, mail and telephone, the pilot survey.
How to approach it: Apply the rules of a good questionnaire; justify the mode using cost, response and literacy.
Same kind as the questionnaire exercises
Frame four questions to study the use of public transport by students of your school.
Show the solutionSolution
- 1. How do you usually come to school? (bus / metro / auto / walk / private vehicle)
- 2. How long does your journey take? (under 15 min / 15-30 min / over 30 min)
- 3. How much do you spend on travel in a week? (ranges)
- 4. Would you use a school bus if one were available? (yes / no / not sure)
Answer: Short, closed-ended, neutral questions in a logical order.
Exercises on census, sampling and errors
What it tests: Census vs sample, random and non-random sampling, sampling and non-sampling errors.
How to approach it: Explain with an example; for errors, compute the sample mean and compare with the population mean.
Same kind as the sampling error exercise
Daily earnings of five fruit sellers are ₹320, 360, 410, 480 and 530. A random sample of three gives ₹360, 410 and 530. Find the sampling error.
Show the solutionSolution
- Population mean = 2,100 ÷ 5 = ₹420
- Sample mean = 1,300 ÷ 3 = ₹433.33
- Sampling error = 420 − 433.33 = −₹13.33
Answer: About −₹13.33 (the sample overestimates the mean).
Exercises on Census of India and NSS
What it tests: Agencies collecting data in India and the kind of data each provides.
How to approach it: Name the agency and the data: Census for population characteristics; NSS for socio-economic sample surveys.
Same kind as the agency exercises
Name any four agencies that collect data at the national level in India.
Show the solutionSolution
- Census of India (Registrar General of India)
- National Sample Survey
- Central Statistics Office (now part of NSO)
- Labour Bureau (also DGCIS)
Answer: Census of India, NSS, CSO/NSO, Labour Bureau (or DGCIS).
Practice questions on Collection of Data
Write each answer on paper first. Open the hint only if you are stuck, and the answer only when you have finished.
Q1 · 1 mark · MCQExam level
Which of these is a source of secondary data?
(a) Interviewing shopkeepers
(b) Census of India reports
(c) A pilot survey
(d) Observing traffic at a junctionHint
Already published.
Answer
(b)
Q2 · 1 mark · MCQExam level
In random sampling:
(a) the investigator chooses typical units
(b) every unit has an equal chance of selection
(c) only convenient units are chosen
(d) quotas are filledHint
Equal chance.
Answer
(b)
Q3 · 1 mark · Very short answerExam level
Since which year has the Census of India been conducted every ten years?
Hint
19th century.
Answer
1881.
Q4 · 3 marks · Short answerExam level
State three precautions to be taken before using secondary data.
Hint
Who, why, how.
Answer
(1) Check who collected the data and whether they are reliable. (2) Check the purpose, definitions and units used. (3) Check the period covered and whether the data suit the present study.
Q5 · 3 marks · Short answerHarder exam level
Give two merits and two demerits of the mail survey method.
Hint
Cheap but low response.
Answer
Merits: cheapest for a wide area; respondents answer at leisure without interviewer influence. Demerits: low response rate; needs literate respondents (and doubts cannot be cleared).
Q6 · 3 marks · Short answerHarder exam level
Suppose the monthly incomes (₹ thousand) of six workers are 10, 12, 14, 16, 18 and 20. Find the sampling error for a sample of 12, 16 and 20.
Hint
Population mean 15.
Answer
Population mean = 90 ÷ 6 = 15; sample mean = 48 ÷ 3 = 16; sampling error = 15 − 16 = −1 thousand (−₹1,000).
Q7 · 3 marks · Short answerHarder exam level
Distinguish between random and non-random sampling on three bases.
Hint
Chance, bias, accuracy.
Answer
Chance: equal for all vs not equal. Bias: free from investigator bias vs open to it. Accuracy: can be estimated vs cannot be judged (and random takes more effort, non-random is quick and cheap).
Q8 · 3 marks · Short answerHarder exam level
What is a pilot survey? Give three uses.
Hint
Pre-testing.
Answer
A small trial survey before the main one. Uses: finds unclear or unnecessary questions; estimates time and cost; reveals problems the interviewers may face.
Q9 · 4 marks · Long answerHarder exam level
Explain three types of non-sampling errors with examples.
Hint
Bias, non-response, acquisition.
Answer
Sampling bias: some members cannot be included (an online survey misses people without internet). Non-response: selected people are not found or refuse. Data acquisition errors: wrong measurement or recording (13 written as 31; different price quality). These occur even in a census.
Q10 · 4 marks · Long answerHarder exam level
Why is the sample method preferred to the census method in most economic surveys? Give four reasons.
Hint
Cost, time, detail, destruction.
Answer
(1) Lower cost. (2) Less time, so results are timely. (3) Fewer people means more detailed questions and better-trained staff, sometimes reducing non-sampling errors. (4) The only possible method when testing destroys items or the population is very large.
Q11 · 4 marks · Long answerHarder exam level
Suppose a newspaper runs an SMS poll asking "Should petrol prices be cut?" and reports that 92% said yes. Comment on the reliability of this result using the ideas of this chapter.
Hint
Who responds?
Answer
The sample is self-selected, not random: only people who read the paper, have phones and feel strongly reply (sampling bias, non-response of others). The question is leading in effect, since almost everyone wants lower prices without considering costs. The 92% cannot be generalised to all citizens.
Q12 · 4 marks · Long answerHOTS / competency
Suppose a survey of 50 households finds an average family size of 4.6, while the Census of the same area gives 4.2. Give two possible reasons for the difference and say which kind of error each is.
Hint
Chance vs mistakes.
Answer
(1) Sampling error: by chance the 50 households include more large families; a bigger random sample would reduce it. (2) Non-sampling error: e.g. respondents counted guests or relatives living elsewhere, or households were chosen near a joint-family neighbourhood (bias). The Census can also have errors, and the dates differ, so families may have grown.
Test your recall
Answer in your head or on paper first, then open the card. Pulling an answer out of memory makes it stick far better than re-reading.
1.What are primary data?Show answer
Data collected first-hand by the investigator for a specific purpose.
2.What is a pilot survey?Show answer
A small trial survey to test the questionnaire before the main survey.
3.Which survey mode has the highest response rate?Show answer
Personal interview.
4.Name two methods of random selection.Show answer
Lottery method and random number tables.
5.Formula for sampling error?Show answer
Population parameter − sample estimate.
6.Name NSS's journal.Show answer
Sarvekshana.
7.Since when has the Census been conducted every ten years?Show answer
1881.
Best order to study it
- Learn primary and secondary data and precautions with secondary data.
- Learn the qualities of a good questionnaire; practise correcting bad questions.
- Compare personal interview, mail and telephone surveys; learn the pilot survey.
- Learn census vs sample and the idea of a representative sample.
- Learn random (lottery, random numbers) and non-random (judgement, convenience, quota) sampling.
- Compute sampling errors and learn the three non-sampling errors.
- Finish with the Census of India and NSS.
Quick revision checklist
The night before the exam: can you do each of these without looking?
- Can you distinguish primary and secondary data on three bases?
- Can you list five qualities of a good questionnaire?
- Can you choose a survey mode for a given situation?
- Can you explain the use of a pilot survey?
- Can you give merits and demerits of census and sample methods?
- Can you explain the lottery method and random number tables?
- Can you compute a sampling error?
- Can you name three non-sampling errors?
- Can you say what data the Census and NSS provide?
Collection of Data: frequently asked questions
Is NSSO still the name of the agency?
NCERT uses NSS/NSSO. In 2019 the NSSO and the Central Statistics Office were merged into the National Statistical Office (NSO) under the Ministry of Statistics and Programme Implementation, which continues the NSS surveys.
Can the same data be primary and secondary?
Yes. Data are primary for the person or agency that collected them and secondary for anyone who later uses them, such as Census data for a researcher.
Do I need to learn stratified or systematic sampling?
The NCERT chapter explains random sampling (lottery and random number tables) and non-random sampling (judgement, convenience, quota). Stick to these for the exam.
How many marks does this chapter carry?
It is part of Unit 2, which the syllabus groups with Unit 1 (Introduction) for 15 of the 80 theory marks, together with Organisation of Data and Presentation of Data.
Based on: CBSE Economics (030) syllabus 2026-27 (Classes XI-XII); NCERT Statistics for Economics, Textbook for Class XI, Chapter 2 (Reprint 2026-27)