CBSE/Karnataka PU Board PUC II Chapter 7 Understanding Data Question Bank

 

CBSE/Karnataka PU Board PUC II Chapter 7 Understanding Data Question Bank

MCQ Questions (50 total)

  1. Data are recorded for decision making by:
    a) Individuals
    b) Only banks
    c) Only schools
    d) All organizations
    Answer: d) All organizations

  2. Which of the following is not a type of statistical technique?
    a) Mean
    b) Median
    c) Range
    d) Filtration
    Answer: d) Filtration

  3. What is structured data?
    a) Data stored randomly
    b) Organised data in rows and columns
    c) Data without any format
    d) Data with images only
    Answer: b) Organised data in rows and columns

  4. Which device is NOT mentioned as a storage device?
    a) Pen drive
    b) SSD
    c) Keyboard
    d) Memory card
    Answer: c) Keyboard

  5. What does the processing cycle NOT involve?
    a) Input
    b) Storage
    c) Output
    d) Animation
    Answer: d) Animation

  6. Mean is also called:
    a) Middle value
    b) Average
    c) Frequency
    d) Mode
    Answer: b) Average

  7. Which value divides sorted data into two equal parts?
    a) Mean
    b) Mode
    c) Median
    d) Range
    Answer: c) Median

  8. Which statistical measure is most sensitive to outliers?
    a) Mode
    b) Standard deviation
    c) Mean
    d) Median
    Answer: c) Mean

  9. Which is a measure of variability?
    a) Mode
    b) Range
    c) Median
    d) Mean
    Answer: b) Range

  10. Which is used to represent categorical data frequency?
    a) Mean
    b) Mode
    c) Variance
    d) Range
    Answer: b) Mode

  11. Which storage device is cheapest as per the chapter?
    a) Tape drive
    b) SSD
    c) Hard disk drive
    d) Pen drive
    Answer: a) Tape drive

  12. Standard deviation is represented by:
    a) Mu (μ)
    b) Sigma (σ)
    c) Pi (π)
    d) Delta (Δ)
    Answer: b) Sigma (σ)

  13. Summarisation of data helps in:
    a) Confusing results
    b) Understanding characteristics
    c) Ignoring errors
    d) No use
    Answer: b) Understanding characteristics

  14. Which is NOT a step in data processing cycle?
    a) Data entry
    b) Data collection
    c) Animation
    d) Data processing
    Answer: c) Animation

  15. Which of the following can be a data field in library records?
    a) Book title
    b) Author
    c) Membership number
    d) All the above
    Answer: d) All the above

  16. Outlier is:
    a) The least common value
    b) Most common value
    c) Exceptionally large/small value
    d) Average value
    Answer: c) Exceptionally large/small value

  17. Which measure tells about the spread of data?
    a) Median
    b) Range
    c) Mode
    d) Mean
    Answer: b) Range

  18. Which is NOT an example of data collected daily?
    a) Images from satellites
    b) Audio files from lectures
    c) Reports from market surveys
    d) None of these
    Answer: d) None of these

  19. Which measure is used with attributes that occur the most?
    a) Mean
    b) Mode
    c) Range
    d) Median
    Answer: b) Mode

  20. Which is a limitation of manual data processing?
    a) Accuracy
    b) Time taken
    c) Cost
    d) All of the above
    Answer: d) All of the above

  21. Which is NOT a measure of central tendency?
    a) Mean
    b) Median
    c) Mode
    d) Variance
    Answer: d) Variance

  22. Data that is collected daily by weather stations typically includes:
    a) Only temperature
    b) Only wind speed
    c) Multiple variables like temperature and wind speed
    d) No useful information
    Answer: c) Multiple variables like temperature and wind speed

  23. PDFs, audio files, and social media posts are examples of:
    a) Structured data
    b) Unstructured data
    c) Tabular data
    d) Statistical summaries
    Answer: b) Unstructured data

  24. The statistical term for the value that occurs most frequently in a data set is:
    a) Mode
    b) Median
    c) Mean
    d) Range
    Answer: a) Mode

  25. Which of the following devices is mainly used for temporary data storage?
    a) RAM
    b) SSD
    c) HDD
    d) Tape drive
    Answer: a) RAM

  26. What is the first step in the data processing cycle?
    a) Data output
    b) Data collection
    c) Data storage
    d) Data analysis
    Answer: b) Data collection

  27. Which formula correctly represents the mean of data values $X_1, X_2, ..., X_n$?
    a) $(X_1 + X_2 + ... + X_n)$
    b) $(X_1 * X_2 * ... * X_n)$
    c) $\frac{X_1 + X_2 + ... + X_n}{n}$
    d) $\sqrt{X_1^2 + X_2^2 + ...}$
    Answer: c) $\frac{X_1 + X_2 + ... + X_n}{n}$

  28. Which step is NOT part of manual merit list preparation?
    a) Data entry
    b) Data query
    c) Automated error checking
    d) Data sorting
    Answer: c) Automated error checking

  29. Which statistical technique is most appropriate for finding the 'most preferred canteen item'?
    a) Mean
    b) Mode
    c) Median
    d) Range
    Answer: b) Mode

  30. Which of the following is an example of a field in a student record?
    a) Student name
    b) Attendance percentage
    c) Marks scored
    d) All of the above
    Answer: d) All of the above

  31. Data summarisation mainly aims to:
    a) Increase confusion
    b) Highlight trends and patterns
    c) Hide information
    d) Create unstructured data
    Answer: b) Highlight trends and patterns

  32. Which storage device is fastest in data access?
    a) Tape drive
    b) Hard disk
    d) Pen drive
    c) SSD
    Answer: c) SSD

  33. Standard deviation gives information on:
    a) Central value
    b) Spread of data
    c) Most frequent value
    d) Number of observations
    Answer: b) Spread of data

  34. What is the range in a data set?
    a) Maximum minus minimum
    b) Median minus mean
    c) Mean divided by number of entries
    d) Value that appears most often
    Answer: a) Maximum minus minimum

  35. Which software is commonly used for handling structured data?
    a) MS Paint
    b) MS Excel
    c) Windows Media Player
    d) Notepad
    Answer: b) MS Excel

  36. An outlier is best handled by using which measure?
    a) Mean
    b) Standard deviation
    c) Mode
    d) Median
    Answer: d) Median

  37. The process of updating patient records is part of which data processing cycle step?
    a) Classification
    b) Data entry
    c) Data update
    d) Data output
    Answer: c) Data update

  38. The term 'data field' refers to:
    a) Whole table
    b) An individual piece of information, like name or number
    c) A column and all its content
    d) None of these
    Answer: b) An individual piece of information, like name or number

  39. Which is NOT a use case of analysing collected data?
    a) Business decision making
    b) Academic performance
    c) Cost estimation
    d) Ignoring errors
    Answer: d) Ignoring errors

  40. Structured data is typically:
    a) Unorganized
    b) Stored in tables
    c) Only stored as images
    d) Without any order
    Answer: b) Stored in tables

  41. The mean may be misleading when:
    a) There are no outliers
    b) Data are symmetrical
    c) Data contains extreme values
    d) Data set is small
    Answer: c) Data contains extreme values

  42. Which device is most suitable for portable data storage?
    a) Tape drive
    b) SSD
    c) Pen drive
    d) RAM
    Answer: c) Pen drive

  43. The most effective way to compare sales of two items is by calculating:
    a) Mode
    b) Mean sales
    c) Standard deviation
    d) Variance
    Answer: b) Mean sales

  44. In the data processing cycle, 'classification' involves:
    a) Collecting raw data
    b) Sorting data into categories
    d) Deleting old records
    c) Making outputs
    Answer: b) Sorting data into categories

  45. Which of the following is NOT an attribute in a patient record?
    a) Age
    b) Temperature
    c) School name
    d) Blood pressure
    Answer: c) School name

  46. The symbol for standard deviation is:
    a) μ
    b) π
    c) σ
    d) θ
    Answer: c) σ

  47. Hospital data includes:
    a) Patient name and disease
    b) Pharmacy inventory
    c) Staff payroll
    d) All of the above
    Answer: d) All of the above

  48. When collecting daily temperature data, which measure best shows 'average' temperature?
    a) Mode
    b) Median
    c) Mean
    d) Standard deviation
    Answer: c) Mean

  49. A major disadvantage of manual data processing is:
    a) Speed
    b) Flexibility
    c) Time-consuming nature
    d) Use of computers
    Answer: c) Time-consuming nature

  50. Summarising data helps in:
    a) Identifying error sources
    b) Drawing conclusions faster
    c) Obscuring results
    d) Only data entry improvement
    Answer: b) Drawing conclusions faster


1 Mark Questions (10 total)

  1. Define data in one sentence.
    Answer: Data is a collection of facts, figures, or values related to some situation or variables.

  2. What is the singular form of 'data'?
    Answer: Datum

  3. Name one statistical technique used to summarize data.
    Answer: Mean

  4. What kind of data is represented by a table in a spreadsheet?
    Answer: Structured data

  5. What does median represent?
    Answer: The central value in sorted data.

  6. Which device is used to store large amounts of data?
    Answer: Hard Disk Drive (HDD)

  7. What is meant by data processing?
    Answer: The transformation of raw data into meaningful output.

  8. Name a type of measure of central tendency.
    Answer: Mode

  9. What statistical term refers to the most frequently occurring value?
    Answer: Mode

  10. Give an example of unstructured data.
    Answer: Images and videos


2 Marks Questions (10 total)

  1. What is the difference between data and information?
    Answer: Data are raw, unprocessed facts; information is processed, organized, and meaningful data.

  2. Mention two common types of storage devices for data.
    Answer: Solid State Drive (SSD), Pen Drive

  3. How does an outlier affect the mean?
    Answer: It can significantly distort or skew the mean value.

  4. State one use case where median is preferred over mean.
    Answer: In salary data with very high or low values affecting the average.

  5. What is the role of the data processing cycle?
    Answer: To collect, process, store, and output information from raw data.

  6. State one example of how businesses use data for decision-making.
    Answer: Analysing sales data to change product pricing.

  7. How is range calculated?
    Answer: By subtracting the minimum value from the maximum value in a data set.

  8. Give an application of statistical summarisation in daily life.
    Answer: Calculation of average marks of students in a class.

  9. Name any two attributes found in voter identity card records.
    Answer: Name, Age

  10. List two parameters stored in hospital patient records.
    Answer: Patient name, Medical history


3 Marks Questions (10 total)

  1. Why is summarising data with mean, median, and mode important?
    Answer: It helps in understanding average, central, and frequent values for better decision-making.

  2. Differentiate structured and unstructured data with examples.
    Answer: Structured data is organized (e.g., Excel table), unstructured data is not (e.g., images).

  3. Describe the steps of the data processing cycle.
    Answer: Data collection, preparation, entry, processing, storage, retrieval, classification, updating.

  4. Explain the impact of outliers on mean and median.
    Answer: Outliers heavily distort mean; median remains less affected, making it a better choice sometimes.

  5. List three scenarios where companies rely on data analysis.
    Answer: Pricing adjustments, sales performance, and market behavior monitoring.

  6. Why do organizations prefer digital storage over manual methods?
    Answer: Digital storage offers faster processing, larger capacity, and easier retrieval.

  7. How can measures of variability indicate diversity in a group?
    Answer: High variability means more spread, indicating greater difference within the group.

  8. Explain the role of standard deviation in understanding a dataset.
    Answer: It shows how much data values deviate from the average, indicating consistency.

  9. Mention a situation where mode is more useful than mean.
    Answer: When identifying the most common item sold in a shop.

  10. How can weather alerts be generated using data processing?
    Answer: By analysing satellite data for cyclone or rain predictions.


5 Marks Questions (10 total)

  1. Discuss the importance of data summarisation for decision-making. Give real-life examples.
    Answer: Summarisation helps interpret large volumes of data quickly, such as election results from voting machines or dynamic pricing in businesses.

  2. Describe all measures of central tendency and variability covered in the chapter with relevant formulas.
    Answer: Mean (Mean=Xn\text{Mean} = \frac{\sum X}{n}), Median (middle value in sorted data), Mode (most frequent value), Range (Max - Min), Standard Deviation (positive square root of average squared deviation from mean).

  3. Compare advantages and disadvantages of structured and unstructured data.
    Answer: Structured data is easy to process and analyze; unstructured provides rich information but is hard to organize.

  4. Suggest data processing steps for preparing a merit list for scholarship as mentioned in exercises.
    Answer: Collect marks and income data, filter students above required marks, check income, store results, and print certificates.

  5. Analyse how banks use data for cash withdrawals at ATMs, from input to receipt.
    Answer: Collects details, verifies credentials, processes transactions, updates balance, and prints receipt through automated cycle.

  6. List and justify which statistical techniques to use for comparing sales of canteen items.
    Answer: Use mean for average sales, mode for popular items, range for price variation; apply these for fruit juice, biscuit, samosa sales.

  7. Write the significance and calculation process for standard deviation.
    Answer: Shows variability, calculated as square root of mean square deviation from average.

  8. Describe how electronics voting machines and manual counting differ in data storage and processing.
    Answer: EVMs record and process electronically, providing quick results; manual counting is time-consuming and error-prone.

  9. Explain how companies analyse customer demand using data.
    Answer: Gather sales and feedback data, process, identify trends, adjust products/prices accordingly.

  10. Outline the process and benefits of summarising temperature data for a week using all covered statistical techniques.
    Answer: Calculate mean for average, median for central temperature, mode for most common, range for variability, and standard deviation for spread; this provides useful weather information for planning.

[NOTE: Kindly cross check answers once from other source also, Quantity and Quality of answers also kindly check before use, specially 5 marks answers are not sufficient kindly add from your side, this gives just quick review]

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