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3.  What is a vector?
                     a.  A random list of letters

                     b.  A quantity having only magnitude
                      c.  A list of numbers showing direction and magnitude

                     d.  A line in a chart
                   4.  Seaborn is built on top of which library?
                     a.  NumPy                                            b.  TensorFlow

                      c.  Matplotlib                                      d.  SciPy
                   5.  The dropna() function in Pandas is used to—
                     a.  Remove rows with missing values                  b.  Add missing values

                      c.  Drop duplicates                                 d.  Replace values
                   6.  The dependent variable in regression is —
                     a.  The variable being predicted                     b.  The variable used for prediction

                      c.  An independent variable                         d.  A constant value
                   7.  Which of the following is an example of bias in AI?

                     a.  AI giving equal results for all users
                     b.  AI favouring one gender due to faulty data
                      c.  AI giving random outputs

                     d.  AI performing calculations correctly
                   8.  AI mainly imitates which human ability?

                     a.  Sleeping                                         b.  Thinking and decision-making
                      c.  Growing physically                              d.  Speaking only
                   9.  What does “tokenization” mean in NLP?

                     a.  Dividing text into smaller parts like words or phrases
                     b.  Encrypting data for security

                      c.  Compressing large files
                     d.  Drawing pictures from words
                  10.  In statistics, a small standard deviation means—

                     a.  The data is highly spread                        b.  The data values are close to the mean
                      c.  The data has missing values                     d.  The dataset is empty
              Question 2

                   11.  What is a histogram used for?
                     a.  Displaying numerical frequency distribution      b.  Showing proportions of categories
                      c.  Comparing text data                             d.  Drawing shapes

                  12.  The regression line is also called—
                     a.  The line of prediction                           b.  The line of least squares

                      c.  The line of averages                            d.  The correlation line


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