MCQs

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Overall MCQs for Reference

1. What does standard deviation primarily measure in a dataset?
   a. The dataset’s mean
   b. The spread of data
   c. The largest value
   d. The minimum value
   Answer: b. The spread of datagyansetu+1​
2. In machine learning, standard deviation is used to
   a. Tune hyperparameters
   b. Understand data variability
   c. Ignore outliers
   d. Increase dataset size
   Answer: b. Understand data variabilityalmabetter+1​
3. Which formula calculates standard deviation for a population?
   a. 
   b. 
   c. 
   d. 
   Answer: a.  geeksforgeeks+1​
4. A low standard deviation indicates that data points are
   a. Far apart from the mean
   b. Clustered near the mean
   c. Equally spaced
   d. Randomly distributed
   Answer: b. Clustered near the meanw3schools+1​
5. Why is standard deviation important for feature scaling in ML?
   a. Reduces preprocessing
   b. Ensures equal feature contribution
   c. Ignores variance
   d. Avoids mean normalization
   Answer: b. Ensures equal feature contributionlinkedin+1​
6. The z-score in statistics indicates
   a. Sample mean
   b. Number of standard deviations from mean
   c. Variance
   d. Sum of data
   Answer: b. Number of standard deviations from meanml-science+1​
7. What is standard deviation used for in regression error analysis?
   a. Measures average error
   b. Measures spread of errors
   c. Measures central tendency
   d. Measures median error
   Answer: b. Measures spread of errorspickl+1​
8. Outliers are often defined as data points beyond how many standard deviations from the mean?
   a. 1
   b. 5
   c. 2 or 3
   d. 0
   Answer: c. 2 or 3tutorialspoint+1​
9. Standard deviation in AI helps in
   a. Ignoring noise in data
   b. Detecting image blur
   c. Detecting image noise
   d. Both b and c
   Answer: d. Both b and calmabetter+1​
10. What happens if standard deviation is zero?
    a. All values are identical
    b. Maximum variance
    c. Negative mean
    d. All values are random
    Answer: a. All values are identicalrcm+1​
11. SEM (standard error of the mean) is always
    a. Greater than SD
    b. Smaller than SD
    c. Equal to SD
    d. Unrelated
    Answer: b. Smaller than SDtestbook+1​
12. In business, standard deviation assists with
    a. ROI calculation
    b. Risk quantification
    c. Ignoring volatility
    d. Data encryption
    Answer: b. Risk quantificationinvestopedia+1​
13. High standard deviation means data points are
    a. Closely grouped
    b. Widely spread
    c. All zero
    d. Near median
    Answer: b. Widely spreadw3schools+1​
14. What is a major application of standard deviation in manufacturing?
    a. Growth tracking
    b. Quality control
    c. AI model accuracy
    d. Financial forecasting
    Answer: b. Quality controlcalculator+1​
15. In classification, standard deviation can help with
    a. Evaluating accuracy
    b. Model overfitting
    c. Feature scaling
    d. All of the above
    Answer: d. All of the aboveigmguru+2​
16. What kind of distribution does symmetric data have in relation to mean deviation and SD?
    a. Mean deviation is twice SD
    b. Mean deviation equals 4/5 of SD
    c. Mean deviation is one-third SD
    d. No relation
    Answer: b. Mean deviation equals 4/5 of SDtestbook​
17. If dataset mean = 10, and SD = 0, values are
    a. 0 or 10
    b. All 10
    c. Random
    d. All 0
    Answer: b. All 10rcm+1​
18. Standard deviation can assist in creating confidence intervals that indicate
    a. The outliers
    b. The model’s uncertainty
    c. The central tendency
    d. The sample size
    Answer: b. The model’s uncertaintylinkedin+1​
19. What is the relationship between standard deviation and variance?
    a. SD is variance times mean
    b. SD is square root of variance
    c. SD is variance minus mean
    d. SD is mean squared
    Answer: b. SD is square root of variancegeeksforgeeks+1​
20. In Six Sigma, standard deviation is vital for measuring
    a. Company profits
    b. Process capability
    c. Employee attendance
    d. Feature selection
    Answer: b. Process capabilitygeeksforgeeks+1​
21. If a dataset’s SD is high, what can be inferred about volatility?
    a. Data is stable
    b. Data has low volatility
    c. Data has high volatility
    d. Volatility cannot be measured
    Answer: c. Data has high volatilityinvestopedia+1​
22. Removing which type of features improves model efficiency with SD?
    a. High SD features
    b. Low SD features
    c. Mean features
    d. Constant features
    Answer: b. Low SD featurespickl+1​
23. The sum of deviations from the mean in any dataset always equals
    a. SD
    b. Zero
    c. Variance
    d. Mean deviation
    Answer: b. Zerogeeksforgeeks​
24. A confidence interval depends on
    a. Mean only
    b. Variance only
    c. Standard deviation and mean
    d. Median only
    Answer: c. Standard deviation and meanlinkedin+1​
25. In image processing, standard deviation helps in
    a. Blurring images
    b. Detecting edges
    c. Identifying noise
    d. Removing color
    Answer: c. Identifying noisetutorialspoint+1​
26. What measures the consistency of products in manufacturing?
    a. Standard deviation
    b. Mean
    c. Mode
    d. Range
    Answer: a. Standard deviationcalculator+1​
27. A high SD of regression residuals indicates
    a. Good model accuracy
    b. Poor model fit
    c. Noise detected
    d. Lack of features
    Answer: b. Poor model fitpickl+1​
28. What is the SD if all values are same?
    a. 1
    b. 0
    c. Mean value
    d. Variance
    Answer: b. 0rcm+1​
29. In forecasting, SD is used to
    a. Predict error margins
    b. Identify mean
    c. Calculate sum
    d. Find data minimum
    Answer: a. Predict error marginsinvestopedia​
30. The square of standard deviation is
    a. Variance
    b. Mean deviation
    c. Median
    d. Mode
    Answer: a. Variancegeeksforgeeks+1​
31. In supervised learning, SD helps to
    a. Standardize data
    b. Encrypt data
    c. Annotate labels
    d. Ignore variance
    Answer: a. Standardize datatutorialspoint+1​
32. In finance, SD is used to
    a. Track ROI
    b. Measure volatility
    c. Both a and b
    d. None
    Answer: c. Both a and binvestopedia+1​
33. Which is true about standard deviation?
    a. It is robust to outliers
    b. It is sensitive to outliers
    c. It ignores mean
    d. It equals mean deviation always
    Answer: b. It is sensitive to outliersgyansetu+1​
34. As data size increases, what happens to SD calculation?
    a. No change
    b. Accuracy increases
    c. Complexity increases
    d. SD becomes zero
    Answer: c. Complexity increasespickl+1​
35. SD helps in project management by
    a. Tracking earned value
    b. Measuring critical path variance
    c. Managing risk
    d. All of the above
    Answer: d. All of the aboveinvestopedia​
36. Mean deviation will always be ___ SD
    a. Greater than
    b. Equal to
    c. Less than or equal to
    d. Unrelated to
    Answer: c. Less than or equal totestbook​
37. The SD for a sample uses denominator of
    a. n
    b. n-1
    c. n+1
    d. n×2
    Answer: b. n-1tutorialspoint+1​
38. Which statement is true?
    a. SD can be negative
    b. SD is always positive
    c. SD is always zero
    d. SD is always equal to mean
    Answer: b. SD is always positivegeeksforgeeks+1​
39. SD is most appropriate for
    a. Qualitative data
    b. Quantitative data
    c. Boolean data
    d. Encrypted data
    Answer: b. Quantitative datarcm+1​
40. What does high variance (and high SD) indicate in a model?
    a. Underfitting
    b. Overfitting
    c. Good generalization
    d. Accurate confidence interval
    Answer: b. Overfittinglinkedin+1​
41. When comparing two models, SD can be used to assess
    a. Feature position
    b. Prediction variability
    c. Data types
    d. Input formats
    Answer: b. Prediction variabilitylinkedin+1​
42. SD aids in which AI preprocessing technique?
    a. Data labeling
    b. Data normalization
    c. Data encryption
    d. Data collection
    Answer: b. Data normalizationpickl+1​
43. SD in sports analytics helps
    a. Predict winning teams
    b. Assess player performance variability
    c. Guarantee match outcomes
    d. Eliminate all risks
    Answer: b. Assess player performance variabilitygeeksforgeeks​
44. In educational analytics, SD can show
    a. Knowledge boundaries
    b. Student performance spread
    c. Curriculum depth
    d. Average marks
    Answer: b. Student performance spreadgeeksforgeeks​
45. SD is calculated after finding the
    a. Mean
    b. Median
    c. Mode
    d. Range
    Answer: a. Meanw3schools+1​
46. SD’s main purpose in data science is to
    a. Ignore variability
    b. Quantify variability
    c. Increase data privacy
    d. Obscure results
    Answer: b. Quantify variabilityrcm+1​
47. What role does SD play in clustering algorithms?
    a. Defines cluster centers
    b. Measures intra-cluster spread
    c. Removes all outliers
    d. Calculates maximum distance
    Answer: b. Measures intra-cluster spreadlinkedin+1​
48. Measurement of spread in AI is best given by
    a. Mean
    b. Median
    c. Standard deviation
    d. Range
    Answer: c. Standard deviationgyansetu+2​
49. SD can be employed in weather prediction to quantify
    a. Temperature mean
    b. Variability in weather patterns
    c. Humidity index
    d. Rain intensity
    Answer: b. Variability in weather patternsgeeksforgeeks​
50. In statistics, SD helps in making data
    a. Less interpretable
    b. More interpretable
    c. Highly encrypted
    d. Mean-centered only
    Answer: b. More interpretablercm+1​

1. https://www.gyansetu.in/blog/data-science-objective-type-mcq-quiz-interview-preparation/
2. https://rcm.ac.in/understanding-standard-deviation-in-data-analysis/
3. https://www.almabetter.com/bytes/articles/what-is-standard-deviation
4. https://www.linkedin.com/posts/ankit-kumar-jha-46a076310_the-importance-of-standard-deviation-in-activity-7364146625256046592-JRFn
5. https://www.geeksforgeeks.org/maths/standard-deviation-formula/
6. https://www.tutorialspoint.com/machine_learning/machine_learning_standard_deviation.htm
7. https://www.w3schools.com/python/python_ml_standard_deviation.asp
8. https://www.pickl.ai/blog/standard-deviation-how-to-calculate/
9. https://www.ml-science.com/standard-deviation
10. https://testbook.com/objective-questions/mcq-on-standard-deviation–5eea6a0a39140f30f369dc6f
11. https://www.investopedia.com/terms/s/standarddeviation.asp
12. https://www.calculator.net/standard-deviation-calculator.html
13. https://www.geeksforgeeks.org/maths/real-life-applications-of-standard-deviation/
14. https://www.igmguru.com/blog/artificial-intelligence-mcqs
15. https://testbook.com/objective-questions/mcq-on-standard-deviation–5eea6a1039140f30f369e80f
16. https://www.scribd.com/document/408407723/Presentation-Mcqs
17. https://www.learncbse.in/math-for-ai-class-9-mcq/
18. https://www.youtube.com/watch?v=WKyxYJZTGuI
19. https://www.youtube.com/watch?v=QbNf1-R_XVc