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Statement-based questions:
                        Direction: Questions 5-6, two statements are given: Statement 1 and Statement 2. Examine the statements and
                        mark the correct option:
                        a. Statement 1 is true, Statement 2 is true
                        b. Statement 1 is false, Statement 2 is false
                        c. Statement 1 is true, Statement 2 is false
                        d. Statement 1 is false, Statement 2 is true
                    5.  Statement 1: A matrix with 2 rows and 3 columns is said to be a 2×3 matrix.
                        Statement 2: Matrices of different orders can be added together.
                    6.  Statement 1: Vectors can be used to calculate the similarity between two data points.
                        Statement 2: Vectors cannot represent audio or image features.




                                                                                                   21 st
                                                                                                  Century   #Interdisciplinary
                                                                                                   Skills
                     Matrices are essential in AI applications we use in daily life, from facial recognition
                     on smartphones to personalised recommendations on streaming platforms. How do you think the use of
                     matrices in AI helps improve the accuracy and efficiency of systems we interact with, such as virtual assistants,
                     online shopping, and healthcare applications?





                                                                                             21 st
                         Deep Thinking                                                      Century   #Experiential Learning
                                                                                             Skills
                    Standard deviation is often used to measure the consistency of data, but in AI, how important is it for a machine
                    learning model to account for both low and high standard deviations? Can a model truly make accurate
                    predictions without understanding the variability in the data, or does focusing too much on standard deviation
                    limit its ability to adapt to real-world scenarios?





                                                                                    21 st
                                                                                   Century   #Coding & Computational Thinking
                                                                                    Skills
                       1.   Collect data from at least 20 students on “Daily Time spent on Netflix/Mobile Gaming”. Arrange in a
                           tabular form as follows.
                                                         Student Name      No. of hours

                                                               A                3
                                                               B                5

                                                               C                2
                                                               D               10

                           Calculate variance and standard deviation of this data. What can you infer from the variance?









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