All Exams >
Commerce >
Economics Class 11 >
All Questions
All questions of Collection of Data for Commerce Exam
Primary data is gathered through- a)original source of information.
- b)information on website.
- c)second hand information.
- d)annual company reports.
Correct answer is option 'A'. Can you explain this answer?
Primary data is gathered through
a)
original source of information.
b)
information on website.
c)
second hand information.
d)
annual company reports.
|
Bhargavi Chopra answered |
A primary data source is an original data source, that is, one in which the data are collected firsthand by the researcher for a specific research purpose or project. Primary data collection is quite expensive and time consuming compared to secondary
The population divided into several homogeneous groups is called
a)Deliberate samplingb)Systematic samplingc)Stratified samplingd)Convenience samplingCorrect answer is option 'C'. Can you explain this answer?
|
Kiran Mehta answered |
The correct option is Option C.
Stratified random sampling involves dividing the entire population into homogeneous groups called strata.
Data collected from the original source of information is called- a)primary data.
- b)secondary data.
- c)published data.
- d)used data.
Correct answer is option 'A'. Can you explain this answer?
Data collected from the original source of information is called
a)
primary data.
b)
secondary data.
c)
published data.
d)
used data.
|
Arun Yadav answered |
These are collected from the very source of information. They are collected for the first time from the original source of information.
Dividing population into several homogeneous groups for data collection is called- a)deliberate sampling.
- b)stratified sampling.
- c)systematic sampling.
- d)convenience sampling.
Correct answer is option 'C'. Can you explain this answer?
Dividing population into several homogeneous groups for data collection is called
a)
deliberate sampling.
b)
stratified sampling.
c)
systematic sampling.
d)
convenience sampling.
|
Ishan Choudhury answered |
The population is divided into homogeneous groups on the basis of their characteristics. It is called systematic sampling.
In case the interviewer is unable to contact a person, it is called- a)sampling bias.
- b)non-response error.
- c)non-sampling error.
- d)error of calculation.
Correct answer is option 'B'. Can you explain this answer?
In case the interviewer is unable to contact a person, it is called
a)
sampling bias.
b)
non-response error.
c)
non-sampling error.
d)
error of calculation.
|
Puja Das answered |
Non-response errors occur when the respondent refuses to respond or the person refuses to provide information.
The subject that helps in analysing economic problems and formulating policies to solve them is- a)Physics.
- b)Chemistry
- c)Mathematics.
- d)Statistics.
Correct answer is option 'D'. Can you explain this answer?
The subject that helps in analysing economic problems and formulating policies to solve them is
a)
Physics.
b)
Chemistry
c)
Mathematics.
d)
Statistics.
|
Sanjeev Kumar answered |
Statistics helps in analysing economic problems and formulating policies to solve them. Statistics is the study of aggregate of facts numerically expressed.
A self-addressed and stamped envelope should be enclosed with a questionnaire is called- a)offer letter
- b)appointment letter
- c)covering letter
- d)resignation letter
Correct answer is option 'C'. Can you explain this answer?
A self-addressed and stamped envelope should be enclosed with a questionnaire is called
a)
offer letter
b)
appointment letter
c)
covering letter
d)
resignation letter
|
Priyanka Khatri answered |
A cover letter accompanies or transmits another document such as a survey questionnaire. Its purpose is to alert the respondent about the questionnaire it accompanies and to provide the details of requested actions on the part of the respondent. A cover letter is a living document that often accompanies a resume.
____________ a decennial publication of the government of India contains data regarding various aspects of demographic changes in India.- a)NSSO
- b)CSO
- c)CENSUS
- d)Ministry of Finance
Correct answer is option 'C'. Can you explain this answer?
____________ a decennial publication of the government of India contains data regarding various aspects of demographic changes in India.
a)
NSSO
b)
CSO
c)
CENSUS
d)
Ministry of Finance
|
Rohini Desai answered |
Census method is the method of statistical enumeration where all members of the population are studied. A population refers to the set of all observations under concern. In our country, the Government conducts the Census of India every ten years. This method must take into account all the units. It cannot leave out anyone in collecting data. Once collected, the Census of India reveals demographic information such as birth rates, death rates, total population, population growth rate of our country, etc. The last census was conducted in the year 2011. Hence, correct answer is option C.
A sample which is capable of providing reasonably accurate information about the population at a much lower cost and shorter time is known as- a)sample unit
- b)sample frame
- c)random sample
- d)representative sample
Correct answer is option 'D'. Can you explain this answer?
A sample which is capable of providing reasonably accurate information about the population at a much lower cost and shorter time is known as
a)
sample unit
b)
sample frame
c)
random sample
d)
representative sample
|
Sushil Ku answered |
A good sample is one which is smaller than the population and is capable of providing reasonable accurate information about the population at a much lower cost and in shorter span of time. This kind of a sample is also known as representative sample.
The demerits of Sampling include ________.- a)It is expensive and time consuming
- b)It is subjected to errors
- c)Both (a) and (b)
- d)None of the above
Correct answer is option 'B'. Can you explain this answer?
The demerits of Sampling include ________.
a)
It is expensive and time consuming
b)
It is subjected to errors
c)
Both (a) and (b)
d)
None of the above
|
|
Rohini Desai answered |
The demerits of Sampling include: It is subjected to errors since maybe a particular sample does not represent the whole population accurately, which will give us false results.
A sample selected from a population consists which of the following? - a)All units of the population
- b)Only 50% of the units of the population
- c)Only 15% of the units of the population
- d)Some units of the population
Correct answer is option 'A'. Can you explain this answer?
A sample selected from a population consists which of the following?
a)
All units of the population
b)
Only 50% of the units of the population
c)
Only 15% of the units of the population
d)
Some units of the population
|
|
Priya Ahuja answered |
Sample Selection from a Population
All units of the population
- When a sample is selected from a population, it consists of all units of the population.
- This means that every individual or element in the population has an equal chance of being included in the sample.
- By including all units of the population in the sample, researchers aim to ensure that the findings are representative of the entire population.
- This method of sampling is known as a census, where data is collected from every member of the population.
Importance of Including All Units
- Including all units of the population in the sample helps in reducing bias and increasing the accuracy of the results.
- It allows researchers to make generalizations about the population as a whole based on the findings from the sample.
- By including all units, researchers can ensure that the sample is truly representative of the population, leading to more reliable conclusions.
Conclusion
- In summary, when a sample is selected from a population, it should ideally consist of all units of the population to ensure accuracy and reliability in the research findings. This method helps in making valid inferences about the population based on the sample data collected.
All units of the population
- When a sample is selected from a population, it consists of all units of the population.
- This means that every individual or element in the population has an equal chance of being included in the sample.
- By including all units of the population in the sample, researchers aim to ensure that the findings are representative of the entire population.
- This method of sampling is known as a census, where data is collected from every member of the population.
Importance of Including All Units
- Including all units of the population in the sample helps in reducing bias and increasing the accuracy of the results.
- It allows researchers to make generalizations about the population as a whole based on the findings from the sample.
- By including all units, researchers can ensure that the sample is truly representative of the population, leading to more reliable conclusions.
Conclusion
- In summary, when a sample is selected from a population, it should ideally consist of all units of the population to ensure accuracy and reliability in the research findings. This method helps in making valid inferences about the population based on the sample data collected.
Compensating errors are also known as- a)biased errors.
- b)unbiased errors.
- c)measurement errors.
- d)grouping errors.
Correct answer is option 'B'. Can you explain this answer?
Compensating errors are also known as
a)
biased errors.
b)
unbiased errors.
c)
measurement errors.
d)
grouping errors.
|
|
Priyanka Roy answered |
Compensating Errors:
Compensating errors are those errors that offset each other and do not affect the accuracy of the final result. These errors can be either positive or negative and can occur in any transaction or calculation.
For example, if an accountant overstates the revenue by $100, but also overstates the expenses by $100, the net effect on the financial statements is zero. This is because the two errors offset each other and the final result is accurate.
Characteristics of Compensating Errors:
1. Offsets each other: The primary characteristic of compensating errors is that they offset each other. As a result, the final result is not affected.
2. Positive or Negative: Compensating errors can be either positive or negative. For example, an error that overstates revenue is positive, while an error that understates expenses is negative.
3. Do not affect accuracy: Since compensating errors offset each other, they do not affect the accuracy of the final result.
Difference between Compensating and Non-Compensating Errors:
Compensating errors are different from non-compensating errors in the sense that non-compensating errors do not offset each other and affect the accuracy of the final result. Non-compensating errors can be either positive or negative, and they need to be corrected to arrive at the accurate result.
For example, if an accountant overstates the revenue by $100 and understates the expenses by $50, then the final result will be overstated by $50. This is a non-compensating error and needs to be corrected.
Conclusion:
Compensating errors are those errors that offset each other and do not affect the accuracy of the final result. These errors can occur in any transaction or calculation, and they can be either positive or negative. It is essential to identify and correct non-compensating errors to arrive at an accurate result.
Compensating errors are those errors that offset each other and do not affect the accuracy of the final result. These errors can be either positive or negative and can occur in any transaction or calculation.
For example, if an accountant overstates the revenue by $100, but also overstates the expenses by $100, the net effect on the financial statements is zero. This is because the two errors offset each other and the final result is accurate.
Characteristics of Compensating Errors:
1. Offsets each other: The primary characteristic of compensating errors is that they offset each other. As a result, the final result is not affected.
2. Positive or Negative: Compensating errors can be either positive or negative. For example, an error that overstates revenue is positive, while an error that understates expenses is negative.
3. Do not affect accuracy: Since compensating errors offset each other, they do not affect the accuracy of the final result.
Difference between Compensating and Non-Compensating Errors:
Compensating errors are different from non-compensating errors in the sense that non-compensating errors do not offset each other and affect the accuracy of the final result. Non-compensating errors can be either positive or negative, and they need to be corrected to arrive at the accurate result.
For example, if an accountant overstates the revenue by $100 and understates the expenses by $50, then the final result will be overstated by $50. This is a non-compensating error and needs to be corrected.
Conclusion:
Compensating errors are those errors that offset each other and do not affect the accuracy of the final result. These errors can occur in any transaction or calculation, and they can be either positive or negative. It is essential to identify and correct non-compensating errors to arrive at an accurate result.
Which of the following is the method of secondary data collection?- a)Direct Personal Investigation
- b)Direct Oral Investigation
- c)Collection Of Information through questionnaire
- d)None of these
Correct answer is option 'D'. Can you explain this answer?
Which of the following is the method of secondary data collection?
a)
Direct Personal Investigation
b)
Direct Oral Investigation
c)
Collection Of Information through questionnaire
d)
None of these
|
|
Rohini Desai answered |
When the investigator himself does not make any investigation and rather uses the data which has been collected by some other researcher such data is known as secondary data. The sources of collecting secondary data are:
(i) published sources like newspapers, articles, blogs, etc.
(ii) unpublished sources like unpublished news, etc.
Hence, the correct answer is option D.
(i) published sources like newspapers, articles, blogs, etc.
(ii) unpublished sources like unpublished news, etc.
Hence, the correct answer is option D.
A parameter and statistic respectively are characteristics of which of the following?- a)Population and sample
- b)Sample and population
- c)Sample and sample
- d)Population and population
Correct answer is option 'A'. Can you explain this answer?
A parameter and statistic respectively are characteristics of which of the following?
a)
Population and sample
b)
Sample and population
c)
Sample and sample
d)
Population and population
|
|
Kavya Ahuja answered |
Population and Sample
Parameters and statistics are characteristics of population and sample respectively. Let's understand the difference between a population and a sample:
Population:
- A population refers to the entire group that is being studied.
- It includes all individuals, items, or data points that meet certain criteria.
- It is usually large and may not always be feasible to study every individual in the population.
Sample:
- A sample is a subset of the population that is selected to represent the entire population.
- It is a smaller group that is chosen from the population for research purposes.
- The characteristics of the sample are used to make inferences about the population.
Parameters:
- Parameters are characteristics of a population.
- They are typically unknown and are estimated using statistics.
- For example, the mean and standard deviation of a population are parameters.
Statistics:
- Statistics are characteristics of a sample.
- They are numerical values calculated from the data of the sample.
- For example, the sample mean and sample standard deviation are statistics.
Therefore, parameters and statistics play a crucial role in inferential statistics, where we use information from a sample to make conclusions about a population.
Parameters and statistics are characteristics of population and sample respectively. Let's understand the difference between a population and a sample:
Population:
- A population refers to the entire group that is being studied.
- It includes all individuals, items, or data points that meet certain criteria.
- It is usually large and may not always be feasible to study every individual in the population.
Sample:
- A sample is a subset of the population that is selected to represent the entire population.
- It is a smaller group that is chosen from the population for research purposes.
- The characteristics of the sample are used to make inferences about the population.
Parameters:
- Parameters are characteristics of a population.
- They are typically unknown and are estimated using statistics.
- For example, the mean and standard deviation of a population are parameters.
Statistics:
- Statistics are characteristics of a sample.
- They are numerical values calculated from the data of the sample.
- For example, the sample mean and sample standard deviation are statistics.
Therefore, parameters and statistics play a crucial role in inferential statistics, where we use information from a sample to make conclusions about a population.
Few representative items taken from the universe is __________.- a)Data
- b)Sample
- c)Figures
- d)None
Correct answer is option 'B'. Can you explain this answer?
Few representative items taken from the universe is __________.
a)
Data
b)
Sample
c)
Figures
d)
None
|
|
Rohini Desai answered |
Sampling is the process in which particular group is selected for the purpose of data collection and that particular group represents the whole population.. Hence, correct answer is option B.
The merits of Census method include ________.- a)It is accurate
- b)It rules out errors of sampling
- c)It is reliable
- d)All of the above
Correct answer is option 'D'. Can you explain this answer?
The merits of Census method include ________.
a)
It is accurate
b)
It rules out errors of sampling
c)
It is reliable
d)
All of the above
|
|
Rohini Desai answered |
When data is collected from the entire population it is called Census method. It includes total count. By this method, more reliable data can be obtained since every item of the whole population is included. The merits of Census method include:
(a) It is accurate.
(b) It rules out errors of sampling since very item of the population is included.
(c) It is reliable
(a) It is accurate.
(b) It rules out errors of sampling since very item of the population is included.
(c) It is reliable
Data which is already published is ___________.- a)Primary
- b)Secondary
- c)Original
- d)Nil
Correct answer is option 'B'. Can you explain this answer?
Data which is already published is ___________.
a)
Primary
b)
Secondary
c)
Original
d)
Nil
|
|
Rohini Desai answered |
Secondary data is the second-hand information as it is not collected by the user. Thus, secondary data refers to the data which is already collected and published by other authorities. For example, government census report is a secondary data. Hence, correct answer is option B.
A population of 1,00,000 people in a city are divided into subgroups basing on the education qualification and then a total of 1,000 people were considered from individual subgroups. This procedure of selection is called?- a)Simple random sampling.
- b)Stratified sampling.
- c)Systematic sampling.
- d)Cluster sampling.
Correct answer is option 'B'. Can you explain this answer?
A population of 1,00,000 people in a city are divided into subgroups basing on the education qualification and then a total of 1,000 people were considered from individual subgroups. This procedure of selection is called?
a)
Simple random sampling.
b)
Stratified sampling.
c)
Systematic sampling.
d)
Cluster sampling.
|
|
Rohini Desai answered |
Stratified sampling is a type of sampling method in which the total population is divided into smaller groups or strata to complete the sampling process. The strata is formed based on some common characteristics in the population data. After dividing the population into strata, the researcher randomly selects the sample proportionally. Hence, correct answer is option B.
Area from where data is collected is __________.- a)Population
- b)Universe
- c)Both
- d)None
Correct answer is option 'C'. Can you explain this answer?
Area from where data is collected is __________.
a)
Population
b)
Universe
c)
Both
d)
None
|
|
Rohini Desai answered |
Population or the Universe in statistics means totality of the items under study. Thus, the Population or the Universe is a group to which the results of the study are intended to apply. Hence, correct answer is option C.
Chapter doubts & questions for Collection of Data - Economics Class 11 2025 is part of Commerce exam preparation. The chapters have been prepared according to the Commerce exam syllabus. The Chapter doubts & questions, notes, tests & MCQs are made for Commerce 2025 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests here.
Chapter doubts & questions of Collection of Data - Economics Class 11 in English & Hindi are available as part of Commerce exam.
Download more important topics, notes, lectures and mock test series for Commerce Exam by signing up for free.
Economics Class 11
59 videos|222 docs|43 tests
|
|
© EduRev
|
Education Revolution
|
|
Signup to see your scores
go up
within 7 days!
within 7 days!
Takes less than 10 seconds to signup