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Overall MCQs for Reference
- Which of the following best describes numeric data in data science?
a. Data that consists of textual descriptions
b. Data that is measured in numbers and supports arithmetic operations
c. Data with categories and labels
d. Data that cannot be counted
Answer: b. Data that is measured in numbers and supports arithmetic operationsquestionpro+2 - Numeric data is also known as:
a. Qualitative data
b. Categorical data
c. Quantitative data
d. Ordinal data
Answer: c. Quantitative dataformpl+2 - Which of the following is NOT an example of numeric data?
a. Age
b. Temperature
c. Eye color
d. Height
Answer: c. Eye color365datascience+1 - Discrete and continuous data are the two main types of:
a. Categorical data
b. Numeric data
c. Nominal data
d. Interval data
Answer: b. Numeric dataguvi+2 - Which property distinguishes continuous data from discrete data?
a. Can take only integer values
b. Has a natural order
c. Can assume any value in an interval
d. Consists of specific categories
Answer: c. Can assume any value in an intervalguvi+1 - Which example represents discrete numeric data?
a. Temperature in Celsius
b. Number of students in a class
c. Height of a person
d. Weight of a parcel
Answer: b. Number of students in a classformpl+1 - What is the defining characteristic of quantitative data?
a. Describes qualities
b. Cannot be measured
c. Can be measured and recorded as numbers
d. Depends on user preference
Answer: c. Can be measured and recorded as numberseducative+2 - Numeric data can be used for which of the following analyses in data science?
a. Descriptive statistics
b. Classification only
c. Text mining
d. Image annotation
Answer: a. Descriptive statisticsgeeksforgeeks+1 - Which method is NOT typically used to analyze numeric data?
a. Range calculation
b. Mean calculation
c. Mode calculation
d. Color mapping
Answer: d. Color mappinggeeksforgeeks+1 - In data science, numeric attributes are generally:
a. Immutable
b. Not used in models
c. Represented as integers or real values
d. Always categorical
Answer: c. Represented as integers or real valuesgeeksforgeeks+1 - Which of these is a valid operation for numeric data but NOT for categorical data?
a. Sorting by value
b. Assigning labels
c. Grouping by type
d. Counting occurrences
Answer: a. Sorting by valuequestionpro+1 - Numeric data in a dataset helps to:
a. Summarize text
b. Identify quantitative trends
c. Assign usernames
d. Encrypt values
Answer: b. Identify quantitative trendsbuiltin+1 - Which of the following is an application area for numeric data?
a. Customer segmentation
b. Text summarization
c. Population growth modeling
d. Language translation
Answer: c. Population growth modelingbuiltin+1 - In machine learning, why is numeric data preferred for modeling?
a. Easier to store
b. Allows arithmetic calculations and algorithm compatibility
c. Visually appealing
d. Needs no preprocessing
Answer: b. Allows arithmetic calculations and algorithm compatibilitydevelopers.google+2 - Which variable is continuous?
a. Shoe size
b. Number of cars sold
c. Blood pressure
d. Number of children in a family
Answer: c. Blood pressureformpl+1 - Which of these is NOT a numeric data type in Python?
a. int
b. float
c. string
d. complex
Answer: c. stringdrbeane.github - Numeric data must be:
a. Mutually exclusive
b. Represented only as whole numbers
c. Capable of mathematical manipulation
d. Always positive
Answer: c. Capable of mathematical manipulationquestionpro+1 - Which analysis is commonly performed on numeric data?
a. Sentiment analysis
b. Regression
c. Language detection
d. Data annotation
Answer: b. Regressiondevelopers.google+1 - The average (mean) value is a measure of:
a. Central tendency for numeric data
b. Central tendency for categorical data
c. Mode for text data
d. Nominal classification
Answer: a. Central tendency for numeric datageeksforgeeks+1 - Numeric data in images is represented as:
a. Text annotations
b. Matrix of numbers (pixel values)
c. File names
d. Color codes only
Answer: b. Matrix of numbers (pixel values)educative - Which is a primary benefit of using numeric data in predictive modeling?
a. Reduces data volume
b. Enables forecasting and quantitative predictions
c. Requires less storage
d. Increases textual accuracy
Answer: b. Enables forecasting and quantitative predictionsbuiltin+1 - A dataset with only numeric features is called a:
a. Categorical dataset
b. Mixed dataset
c. Numeric dataset
d. Unlabeled dataset
Answer: c. Numeric datasetamanxai - When collecting data, the number of survey responses is considered:
a. Discrete numeric data
b. Continuous numeric data
c. Nominal data
d. Ordinal data
Answer: a. Discrete numeric dataguvi+1 - The variable “weight” in kilograms is classified as:
a. Continuous numeric data
b. Nominal data
c. Ordinal data
d. Discrete numeric data
Answer: a. Continuous numeric dataamanxai+2 - Which of the following statements is NOT true about numeric data?
a. It can be visualized through line graphs.
b. It cannot be analyzed using mathematical models.
c. It allows calculation of averages.
d. It may be stored as integers or floats.
Answer: b. It cannot be analyzed using mathematical models365datascience+1 - What is a ratio variable in numeric data?
a. Numeric data with a true zero point, supporting all arithmetic operations
b. Data based on rankings
c. Data with fixed intervals, but no true zero
d. Categorical data with numbers as labels
Answer: a. Numeric data with a true zero point, supporting all arithmetic operationsformpl - Which visualization is best for continuous numeric data?
a. Bar chart
b. Pie chart
c. Line chart
d. Scatter plot
Answer: c. Line chartguvi - Which statistical method is used for summarizing numeric data?
a. Histogram
b. Pie chart only
c. Confusion matrix
d. Decision tree diagram
Answer: a. Histogramgeeksforgeeks+1 - A rating on a scale of 1–5 is best described as:
a. Continuous numeric data
b. Ordinal data
c. Nominal data
d. Binary data
Answer: b. Ordinal dataguvi - A person’s age measured in exact years is:
a. Discrete numeric
b. Continuous numeric
c. Categorical
d. Nominal
Answer: a. Discrete numericformpl+1 - The sum of numeric values is commonly used for:
a. Text data assessment
b. Aggregated analysis
c. Color-coded data
d. Binary classification
Answer: b. Aggregated analysisformpl - Numeric data can always be:
a. Multiplied and divided
b. Described as nominal
c. Only integer
d. Transformed to non-numeric
Answer: a. Multiplied and divided365datascience+1 - The median of numeric data represents:
a. Maximum value
b. Middle value when sorted
c. Mode
d. Smallest value
Answer: b. Middle value when sortedgeeksforgeeks - Numeric data is essential in:
a. Speech recognition
b. Financial forecasting
c. Text translation
d. Optical character recognition
Answer: b. Financial forecastingquestionpro+1 - Which characteristic is incorrect about numeric data?
a. It cannot be used for mathematical computations
b. It is measurable
c. It supports rankings
d. It enables statistical analysis
Answer: a. It cannot be used for mathematical computationsquestionpro+2 - Numeric data is often required as machine learning:
a. Input features
b. Output images
c. Labels only
d. None of the above
Answer: a. Input featureseducative+1 - Temperature in Kelvin is an example of:
a. Interval variable
b. Nominal variable
c. Ratio variable
d. Ordinal variable
Answer: c. Ratio variableformpl - In statistics, a variable that can be any value within a range is:
a. Discrete
b. Continuous
c. Nominal
d. Qualitative
Answer: b. Continuousguvi+1 - A “year of birth” variable in a dataset is:
a. Ordinal
b. Nominal
c. Discrete numeric
d. Binary
Answer: c. Discrete numericguvi+1 - Which is an example of non-numeric data?
a. Height
b. Marital status
c. Income
d. Time spent online
Answer: b. Marital status365datascience+1 - The standard deviation is a statistic that measures:
a. Colorfulness of data
b. Spread of numeric data
c. Central category
d. Alphabetical order
Answer: b. Spread of numeric datageeksforgeeks - Which is NOT a numerical operator in data science?
a. Addition
b. Multiplication
c. Sorting
d. Subtraction
Answer: c. Sortinggeeksforgeeks+1 - The term describing numeric data values separated by equal intervals is:
a. Nominal
b. Ordinal
c. Interval
d. Ratio
Answer: c. Intervalformpl - Which function is LEAST useful for numeric data analysis?
a. SUM
b. COUNT
c. CONCATENATE
d. AVERAGE
Answer: c. CONCATENATEgeeksforgeeks+1 - Numeric data in a time series is generally:
a. Discrete
b. Temporal and ordered
c. Categorical
d. Random
Answer: b. Temporal and orderedbuiltin+1 - When numeric data contains outliers, which measure is most affected?
a. Median
b. Mode
c. Mean
d. Frequency
Answer: c. Meangeeksforgeeks - Numeric data in data science enables:
a. Thematic grouping
b. Quantitative assessment
c. Descriptive labeling
d. Data encryption
Answer: b. Quantitative assessmenteducative+2 - The variable “monthly salary” is a:
a. Nominal variable
b. Discrete numeric variable
c. Interval variable
d. Continuous numeric variable
Answer: d. Continuous numeric variableguvi+1 - Which numeric data type cannot have fractional values?
a. Continuous
b. Discrete
c. Ratio
d. Interval
Answer: b. Discrete365datascience+2 - In data science, cleaning numeric data often involves:
a. Changing labels
b. Removing duplicates
c. Imputing missing values
d. Renaming categories
Answer: c. Imputing missing valuesdevelopers.google+1 valuesgeeksforgeeks+1
- https://www.questionpro.com/blog/numerical-data/
- https://www.educative.io/answers/what-are-numeric-features-in-data-science
- https://www.guvi.in/blog/types-of-data-in-data-science/
- https://www.formpl.us/blog/numerical-data
- https://uk.indeed.com/career-advice/career-development/numerical-data
- https://365datascience.com/tutorials/statistics-tutorials/numerical-categorical-data/
- https://www.geeksforgeeks.org/data-science/statistics-for-data-science/
- https://www.geeksforgeeks.org/data-science/understanding-data-attribute-types-qualitative-and-quantitative/
- https://drbeane.github.io/python/pages/data_types/numeric_data_types.html
- https://builtin.com/data-science/data-science-applications-examples
- https://developers.google.com/machine-learning/crash-course/numerical-data
- https://amanxai.com/2022/06/24/types-of-data-in-data-science/
- https://study.com/learn/lesson/numerical-data-overview-examples.html
- https://www.du.ac.in/du/uploads/departments/Operational%20Research/22042020_VB-Notes.pdf
- https://www.geeksforgeeks.org/data-science/major-applications-of-data-science/
- https://www.sciencedirect.com/topics/computer-science/numerical-data