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
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
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
Data collected directly by a researcher is called:
- a) Secondary data
- b) Sample data
- c) Primary data
- d) Population data
Answer: c
Secondary data can be obtained from:
- a) Surveys
- b) Government reports
- c) Observation
- d) Random sampling
Answer: b
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
What does a "sample" represent?
- a) Entire population
- b) Part of the population
- c) Outdated data
- d) Census data
Answer: b
Data presented for use by other researchers is:
- a) Primary data
- b) Processed data
- c) Secondary data
- d) Experimental data
Answer: c
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
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
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
Which method involves face-to-face interviews?
- a) Telephone interviews
- b) Mailing surveys
- c) Personal interviews
- d) Online surveys
Answer: c
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
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
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
Which survey method maintains the anonymity of respondents?
- a) Personal interviews
- b) Mailing surveys
- c) Exit polls
- d) Census
Answer: b
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
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
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
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
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
Sampling error arises due to:
- a) Recording mistakes
- b) Non-representative samples
- c) Errors in data processing
- d) Unclear survey objectives
Answer: b
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
Recording errors can occur due to:
- a) Misinterpretation of responses
- b) Unbiased sampling
- c) Random errors only
- d) Perfect measurement tools
Answer: a
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
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
How can sampling errors be reduced?
- a) Increasing sample size
- b) Skipping random sampling
- c) Using biased questions
- d) Avoiding pilot surveys
Answer: a
Errors caused by interviewer influence are:
- a) Sampling errors
- b) Non-sampling errors
- c) Judgment errors
- d) Random errors
Answer: b
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
Double negatives in questions:
- a) Help improve clarity
- b) Lead to confusion
- c) Reduce response rates
- d) Ensure unbiased responses
Answer: b
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
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)
1–10: General Concepts
Which of the following is not a method of data presentation?
a) Textual
b) Diagrammatic
c) Numerical
d) Tabular
Answer: c) NumericalIn 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 textWhat 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 bWhich classification is based on attributes like social status?
a) Quantitative
b) Qualitative
c) Spatial
d) Temporal
Answer: b) QualitativeIn tabular presentation, rows are read:
a) Vertically
b) Horizontally
c) Diagonally
d) None of the above
Answer: b) HorizontallyWhich is not a part of a statistical table?
a) Title
b) Caption
c) Stub
d) Graph
Answer: d) GraphA 3×3 table contains how many cells?
a) 6
b) 9
c) 12
d) 15
Answer: b) 9The 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 tableWhich 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 dataWhich classification organizes data according to time?
a) Spatial
b) Temporal
c) Quantitative
d) None of the above
Answer: b) Temporal
11–20: Diagrammatic Representation
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 diagramWhat 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 dataWhich 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 diagramA 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 percentagesWhich type of diagram is best for showing frequency distributions?
a) Histogram
b) Pie chart
c) Line graph
d) Component bar diagram
Answer: a) HistogramFrequency polygons are derived from:
a) Bar diagrams
b) Pie diagrams
c) Histograms
d) None of the above
Answer: c) HistogramsA 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 curveCumulative frequency curves are also known as:
a) Frequency polygons
b) Ogives
c) Pie charts
d) Component bar diagrams
Answer: b) OgivesAn 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 dataWhat 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
Which diagram is most suitable for monthly rainfall data?
a) Pie chart
b) Line graph
c) Histogram
d) Bar diagram
Answer: b) Line graphWhich 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 chartFor presenting sales over years, which diagram would you choose?
a) Line graph
b) Histogram
c) Pie chart
d) Component bar diagram
Answer: a) Line graphThe angular component for 20% in a pie chart is:
a) 18°
b) 36°
c) 72°
d) 144°
Answer: c) 72°
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