Monday, December 2, 2024

MCQ Economics (English Medium) Part B Statistics for Economics Unit 2: Collection, Organization and Presentation of Data, HS 1st Year

Unit-2: Collection, Organization and Presentation of Data: 

Collection of data : Sources of data –Primary and Secondary ,Methods of Collecting data. Census and sample survey (concepts only) Some Important Sources of Secondary data: Census of India and National Sample survey organization. Organization: Organization of data –meaning and types of variables, frequency ,distribution ,Presentation of data- tabular and diagrammatic presentation of data-Bar diagram, Pie diagram, Histogram, Frequency Polygon, frequency curve, ogive and time series graph

Collection of Data

1-10: Basics of Data Collection

  1. What is the purpose of data collection in economics?

    • a) To complicate decision-making
    • b) To show evidence for reaching a sound solution
    • c) To create confusion in problem-solving
    • d) To increase data quantity
      Answer: b
  2. What are the two main types of data?

    • a) Simple and Complex
    • b) Quantitative and Qualitative
    • c) Primary and Secondary
    • d) Raw and Processed
      Answer: c
  3. Data collected directly by a researcher is called:

    • a) Secondary data
    • b) Sample data
    • c) Primary data
    • d) Population data
      Answer: c
  4. Secondary data can be obtained from:

    • a) Surveys
    • b) Government reports
    • c) Observation
    • d) Random sampling
      Answer: b
  5. Which method is used to avoid biased responses in questions?

    • a) Ambiguous phrasing
    • b) Leading questions
    • c) Open-ended questions
    • d) Precise and clear questions
      Answer: d
  6. What does a "sample" represent?

    • a) Entire population
    • b) Part of the population
    • c) Outdated data
    • d) Census data
      Answer: b
  7. Data presented for use by other researchers is:

    • a) Primary data
    • b) Processed data
    • c) Secondary data
    • d) Experimental data
      Answer: c
  8. A census includes:

    • a) Only urban population
    • b) A sample of a population
    • c) Every element of a population
    • d) Random data points
      Answer: c
  9. What does NSSO stand for?

    • a) National Sample Statistical Office
    • b) National Survey Statistical Organisation
    • c) National Sample Survey Office
    • d) National Statistical Survey Office
      Answer: c
  10. In random sampling:

  • a) Some individuals are excluded intentionally
  • b) All individuals have an equal chance of selection
  • c) The largest sample is always chosen
  • d) Only numeric data is collected
    Answer: b

11-20: Data Collection Techniques

  1. Which method involves face-to-face interviews?

    • a) Telephone interviews
    • b) Mailing surveys
    • c) Personal interviews
    • d) Online surveys
      Answer: c
  2. What is a major advantage of personal interviews?

    • a) Lowest cost
    • b) Long response time
    • c) Clarification of ambiguous questions
    • d) Lack of personal contact
      Answer: c
  3. A disadvantage of mailed surveys is:

    • a) High response rate
    • b) Difficulty in clarifying questions
    • c) Higher costs than interviews
    • d) Inability to include sensitive questions
      Answer: b
  4. Telephone interviews are suitable because:

    • a) They are costly
    • b) They ensure anonymity
    • c) They require a large sample size
    • d) They allow clarification during the interview
      Answer: d
  5. Which survey method maintains the anonymity of respondents?

    • a) Personal interviews
    • b) Mailing surveys
    • c) Exit polls
    • d) Census
      Answer: b
  6. A pilot survey is conducted to:

    • a) Finalise the study’s conclusions
    • b) Test and refine the questionnaire
    • c) Collect large-scale data
    • d) Skip unimportant questions
      Answer: b
  7. What is an open-ended question?

    • a) Requires a "yes" or "no" answer
    • b) Provides multiple-choice options
    • c) Allows individualised responses
    • d) Avoids asking about specific topics
      Answer: c
  8. What is the primary goal of random sampling?

    • a) Reduce errors entirely
    • b) Include every individual
    • c) Avoid judgment bias
    • d) Collect opinions selectively
      Answer: c
  9. An advantage of sampling over a census is:

    • a) Greater expense
    • b) Detailed examination of small groups
    • c) Time-consuming process
    • d) Inclusion of every individual
      Answer: b
  10. Exit polls predict election results using:

    • a) Non-random sampling
    • b) A sample of voters leaving polling booths
    • c) Direct census techniques
    • d) Large-scale telephonic interviews
      Answer: b

21-30: Errors and Bias in Data

  1. Sampling error arises due to:

    • a) Recording mistakes
    • b) Non-representative samples
    • c) Errors in data processing
    • d) Unclear survey objectives
      Answer: b
  2. A major cause of non-sampling error is:

    • a) Use of a random sample
    • b) Taking a large sample
    • c) Bias in data acquisition
    • d) Using secondary data
      Answer: c
  3. Recording errors can occur due to:

    • a) Misinterpretation of responses
    • b) Unbiased sampling
    • c) Random errors only
    • d) Perfect measurement tools
      Answer: a
  4. Non-response errors arise when:

    • a) Questions are ambiguous
    • b) Respondents refuse to participate
    • c) Sampling frames are incorrect
    • d) Data is collected systematically
      Answer: b
  5. An example of a leading question is:

    • a) How do you feel about climate change?
    • b) Do you think high-quality tea is better?
    • c) Would you consider voting this year?
    • d) What is your preferred political party?
      Answer: b
  6. How can sampling errors be reduced?

    • a) Increasing sample size
    • b) Skipping random sampling
    • c) Using biased questions
    • d) Avoiding pilot surveys
      Answer: a
  7. Errors caused by interviewer influence are:

    • a) Sampling errors
    • b) Non-sampling errors
    • c) Judgment errors
    • d) Random errors
      Answer: b
  8. Sampling bias occurs when:

    • a) Non-representative groups are included
    • b) Random selection is followed
    • c) Everyone in the population is included
    • d) Primary data is directly used
      Answer: a
  9. Double negatives in questions:

    • a) Help improve clarity
    • b) Lead to confusion
    • c) Reduce response rates
    • d) Ensure unbiased responses
      Answer: b
  10. Pilot surveys help in:

    • a) Identifying errors in sampling plans
    • b) Collecting complete census data
    • c) Avoiding structured interviews
    • d) Limiting secondary data use
      Answer: a
Organisation of Data


1. What is the main purpose of classifying raw data?

  • (a) To collect additional information
  • (b) To bring order for further statistical analysis
  • (c) To make raw data more complex
  • (d) To ignore smaller data sets
    Answer: (b)

2. What is raw data?

  • (a) Data that has been classified
  • (b) Summarized data for conclusions
  • (c) Unclassified, disorganized data
  • (d) Processed statistical data
    Answer: (c)

3. Which type of classification arranges data based on time?

  • (a) Spatial classification
  • (b) Chronological classification
  • (c) Qualitative classification
  • (d) None of the above
    Answer: (b)

4. When classifying books by subjects like "Mathematics," this is an example of:

  • (a) Spatial classification
  • (b) Quantitative classification
  • (c) Qualitative classification
  • (d) Chronological classification
    Answer: (c)

5. What is the range in data classification?

  • (a) The ratio of the highest and lowest values
  • (b) The sum of all values
  • (c) The difference between the highest and lowest values
  • (d) The average of all data points
    Answer: (c)

6. A frequency distribution table is used to:

  • (a) Collect data
  • (b) Summarize raw data into organized classes
  • (c) Provide exact data values
  • (d) Perform advanced calculations
    Answer: (b)

7. What is the midpoint of a class in frequency distribution?

  • (a) The sum of the upper and lower class limits
  • (b) Half the sum of the upper and lower class limits
  • (c) The product of class limits
  • (d) The difference between class limits
    Answer: (b)

8. In exclusive classification, which values are excluded from a class?

  • (a) Lower limit values
  • (b) Upper limit values
  • (c) Both limits
  • (d) None of the above
    Answer: (b)

9. Discrete variables:

  • (a) Take any fractional or whole number values
  • (b) Take only whole number or fixed fractional values
  • (c) Cannot take integer values
  • (d) Always change continuously
    Answer: (b)

10. Which variable can take all conceivable values in a range?

  • (a) Discrete variable
  • (b) Continuous variable
  • (c) Qualitative variable
  • (d) Spatial variable
    Answer: (b)

11. What is a bivariate frequency distribution?

  • (a) Distribution involving one variable
  • (b) Distribution involving two variables
  • (c) Distribution involving qualitative data
  • (d) None of the above
    Answer: (b)

12. A frequency distribution curve plots:

  • (a) Class limits against frequency
  • (b) Class midpoints against frequency
  • (c) Observations directly
  • (d) Data categories
    Answer: (b)

13. Which of the following is a qualitative variable?

  • (a) Age
  • (b) Height
  • (c) Gender
  • (d) Income
    Answer: (c)

14. What is the lower class limit of the class 30-40?

  • (a) 30
  • (b) 35
  • (c) 40
  • (d) None of the above
    Answer: (a)

15. The Government of India conducts a population census every:

  • (a) 5 years
  • (b) 10 years
  • (c) 15 years
  • (d) 20 years
    Answer: (b)


16. What is the purpose of grouping raw data?

  • (a) To avoid calculations
  • (b) To make data appear smaller
  • (c) To facilitate comparison and analysis
  • (d) To discard unnecessary data
    Answer: (c)

17. What type of data classification is based on geographical regions?

  • (a) Chronological classification
  • (b) Quantitative classification
  • (c) Spatial classification
  • (d) None of the above
    Answer: (c)

18. What is a tally mark used for in frequency distributions?

  • (a) To record the total observations
  • (b) To count the frequency of observations in a class
  • (c) To show cumulative frequencies
  • (d) To record ungrouped data
    Answer: (b)

19. The frequency in a class interval represents:

  • (a) The sum of all data points in the class
  • (b) The count of observations within the class limits
  • (c) The product of class width and observations
  • (d) The total of all classes
    Answer: (b)

20. A frequency array is used for:

  • (a) Continuous variables
  • (b) Discrete variables
  • (c) Both continuous and discrete variables
  • (d) None of the above
    Answer: (b)

21. If marks in a class are 40, 45, 42, 44, and 41, what is their class frequency?

  • (a) 3
  • (b) 5
  • (c) 2
  • (d) 6
    Answer: (b)

22. In the example of household size, the size of a household is classified as:

  • (a) A continuous variable
  • (b) A discrete variable
  • (c) A qualitative variable
  • (d) A spatial variable
    Answer: (b)

23. What is the class interval for the range 0–100 if 10 classes are chosen?

  • (a) 5
  • (b) 10
  • (c) 20
  • (d) 15
    Answer: (b)

24. Loss of information in classified data means:

  • (a) The inability to summarize data
  • (b) Losing raw data details during grouping
  • (c) Errors in calculations
  • (d) None of the above
    Answer: (b)

25. In inclusive class intervals:

  • (a) Only lower limits are included
  • (b) Only upper limits are included
  • (c) Both lower and upper limits are included
  • (d) Neither lower nor upper limits are included
    Answer: (c)

26. The term "class mark" refers to:

  • (a) The midpoint of the class interval
  • (b) The highest value in the class
  • (c) The average of all class frequencies
  • (d) The difference between upper and lower limits
    Answer: (a)

27. A class interval of 30–40 in the exclusive method excludes:

  • (a) 30
  • (b) 40
  • (c) Both 30 and 40
  • (d) Neither 30 nor 40
    Answer: (b)

28. What does a bivariate frequency table display?

  • (a) Values of two unrelated variables
  • (b) Relationship between two variables
  • (c) One variable only
  • (d) Summarized qualitative data
    Answer: (b)

29. What should be avoided when determining class limits?

  • (a) Equal class intervals
  • (b) Overlapping limits
  • (c) Clear boundaries
  • (d) Statistical calculations
    Answer: (b)

30. What does "range" measure in data classification?

  • (a) Central tendency
  • (b) Spread of data
  • (c) Median
  • (d) Mode
    Answer: (b)

31. How is the "class interval" calculated?

  • (a) Upper limit minus lower limit
  • (b) Upper limit plus lower limit
  • (c) Total frequency divided by number of classes
  • (d) Total range divided by number of classes
    Answer: (a)

32. In unequal class intervals, which situation is most suitable?

  • (a) Uniform data distribution
  • (b) Wide data range with concentrated values in specific ranges
  • (c) Data limited to one class
  • (d) Random observations
    Answer: (b)

33. If the upper limit of one class is the same as the lower limit of the next class, the method is:

  • (a) Inclusive
  • (b) Exclusive
  • (c) Spatial
  • (d) Qualitative
    Answer: (b)

34. Why are class marks preferred in statistical calculations for frequency tables?

  • (a) They summarize data effectively
  • (b) They simplify formulas
  • (c) Raw data is not required
  • (d) All of the above
    Answer: (d)

35. Continuous variables cannot:

  • (a) Take whole number values
  • (b) Take fractional values
  • (c) Take only specific discrete values
  • (d) Change over time
    Answer: (c)

36. What type of graph represents a frequency distribution?

  • (a) Line chart
  • (b) Frequency curve
  • (c) Pie chart
  • (d) Scatter plot
    Answer: (b)

37. The term "frequency" in data classification means:

  • (a) Total number of observations
  • (b) Number of observations in a class
  • (c) Range of the data
  • (d) Total number of classes
    Answer: (b)

38. How can continuity be restored in class intervals of continuous variables?

  • (a) Adding and subtracting 0.5 to class limits
  • (b) Doubling the range
  • (c) Using tally marks
  • (d) Removing gaps between observations
    Answer: (a)

39. Variables like height, weight, and distance are:

  • (a) Qualitative variables
  • (b) Continuous variables
  • (c) Discrete variables
  • (d) None of the above
    Answer: (b)

40. The midpoint of the class 50–60 is:

  • (a) 55
  • (b) 50
  • (c) 60
  • (d) 52.5
    Answer: (a)

41. Data that cannot be expressed numerically is classified as:

  • (a) Quantitative classification
  • (b) Chronological classification
  • (c) Qualitative classification
  • (d) None of the above
    Answer: (c)

42. Why is the bivariate distribution useful?

  • (a) To study a single variable in detail
  • (b) To examine relationships between two variables
  • (c) To simplify data summarization
  • (d) None of the above
    Answer: (b)

43. Class intervals in inclusive classification may look like:

  • (a) 0–9, 10–19
  • (b) 1–10, 11–20
  • (c) 0–10, 11–20
  • (d) 1–9, 10–19
    Answer: (b)

44. What is the advantage of classifying raw data?

  • (a) Summarizes data for statistical analysis
  • (b) Simplifies raw data handling
  • (c) Enables comparisons
  • (d) All of the above
    Answer: (d)

45. The lower class limit of the class 1000–1099 is:

  • (a) 999.5
  • (b) 1000
  • (c) 1099
  • (d) 1000.5
    Answer: (b)

46. How are unequal class intervals represented in data?

  • (a) By equal intervals for all classes
  • (b) Smaller intervals for concentrated data ranges
  • (c) Larger intervals for all data ranges
  • (d) Unequal intervals only for qualitative data
    Answer: (b)

47. What does "frequency array" specifically describe?

  • (a) Univariate frequency distributions
  • (b) Discrete variable distributions
  • (c) Continuous variable distributions
  • (d) None of the above
    Answer: (b)

48. Open-ended classes like "70 and above" are:

  • (a) Preferred for clarity
  • (b) Not desirable in statistical analysis
  • (c) Useful for continuous variables
  • (d) Necessary for tally marking
    Answer: (b)

49. Class width is determined by:

  • (a) Subtracting upper class limit from lower class limit
  • (b) Adding upper and lower class limits
  • (c) Subtracting the smallest observation from the largest observation
  • (d) Dividing range by the number of classes
    Answer: (a)

50. Which method is generally used for continuous variables?

  • (a) Inclusive classification
  • (b) Exclusive classification
  • (c) Qualitative classification
  • (d) Spatial classification
    Answer: (b)
Presentation of Data


1–10: General Concepts

  1. Which of the following is not a method of data presentation?
    a) Textual
    b) Diagrammatic
    c) Numerical
    d) Tabular
    Answer: c) Numerical

  2. In textual presentation, data are:
    a) Summarized in tables
    b) Explained in sentences within a text
    c) Represented using diagrams
    d) None of the above
    Answer: b) Explained in sentences within a text

  3. What is the major drawback of textual data presentation?
    a) Lack of compactness
    b) Requires reading the entire text for comprehension
    c) Not suitable for small data
    d) Both a and b
    Answer: d) Both a and b

  4. Which classification is based on attributes like social status?
    a) Quantitative
    b) Qualitative
    c) Spatial
    d) Temporal
    Answer: b) Qualitative

  5. In tabular presentation, rows are read:
    a) Vertically
    b) Horizontally
    c) Diagonally
    d) None of the above
    Answer: b) Horizontally

  6. Which is not a part of a statistical table?
    a) Title
    b) Caption
    c) Stub
    d) Graph
    Answer: d) Graph

  7. A 3×3 table contains how many cells?
    a) 6
    b) 9
    c) 12
    d) 15
    Answer: b) 9

  8. The source of data is usually placed:
    a) At the top of the table
    b) Below the title
    c) At the bottom of the table
    d) Beside the stub column
    Answer: c) At the bottom of the table

  9. Which unit must be stated in a table?
    a) Measurement units of data
    b) Geographical units
    c) Timeframe units
    d) None of the above
    Answer: a) Measurement units of data

  10. Which classification organizes data according to time?
    a) Spatial
    b) Temporal
    c) Quantitative
    d) None of the above
    Answer: b) Temporal


11–20: Diagrammatic Representation

  1. A bar diagram is an example of a:
    a) Geometric diagram
    b) Frequency diagram
    c) Arithmetic line graph
    d) None of the above
    Answer: a) Geometric diagram

  2. What does the height of a bar in a bar diagram indicate?
    a) Time
    b) Magnitude of data
    c) Base frequency
    d) None of the above
    Answer: b) Magnitude of data

  3. Which type of bar diagram compares multiple datasets?
    a) Simple bar diagram
    b) Multiple bar diagram
    c) Component bar diagram
    d) None of the above
    Answer: b) Multiple bar diagram

  4. A pie chart divides the circle into:
    a) Equal areas
    b) Proportional sectors based on percentages
    c) Angles of 90 degrees
    d) None of the above
    Answer: b) Proportional sectors based on percentages

  5. Which type of diagram is best for showing frequency distributions?
    a) Histogram
    b) Pie chart
    c) Line graph
    d) Component bar diagram
    Answer: a) Histogram

  6. Frequency polygons are derived from:
    a) Bar diagrams
    b) Pie diagrams
    c) Histograms
    d) None of the above
    Answer: c) Histograms

  7. A smooth curve passing through the points of a frequency polygon is called:
    a) Frequency curve
    b) Ogive
    c) Histogram
    d) Line graph
    Answer: a) Frequency curve

  8. Cumulative frequency curves are also known as:
    a) Frequency polygons
    b) Ogives
    c) Pie charts
    d) Component bar diagrams
    Answer: b) Ogives

  9. An arithmetic line graph is used for:
    a) Representing time series data
    b) Comparing two datasets
    c) Highlighting data proportions
    d) None of the above
    Answer: a) Representing time series data

  10. What does the intersection of "less than" and "more than" ogives represent?
    a) Mean
    b) Mode
    c) Median
    d) Frequency
    Answer: c) Median


21–30: Practical Applications

  1. Which diagram is most suitable for monthly rainfall data?
    a) Pie chart
    b) Line graph
    c) Histogram
    d) Bar diagram
    Answer: b) Line graph

  2. Which diagram shows the composition of costs in a factory?
    a) Pie chart
    b) Histogram
    c) Bar diagram
    d) None of the above
    Answer: a) Pie chart

  3. For presenting sales over years, which diagram would you choose?
    a) Line graph
    b) Histogram
    c) Pie chart
    d) Component bar diagram
    Answer: a) Line graph

  4. The angular component for 20% in a pie chart is:
    a) 18°
    b) 36°
    c) 72°
    d) 144°
    Answer: c) 72°

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