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    Artificial Intelligence or AI, is a technology that helps machines make smart guesses and find
                      patterns in data. This lets them do tasks like solving problems or making decisions without needing
                      help from people. Statistics is a way of studying data to understand it better and make good
                      decisions.

                      STATISTICAL DATA

                      When machines  have to  process  a large amount
                      of numerical data, Statistical Data enables them to
                      understand, analyse and give output in the form of
                      meaningful information.

                      You can understand it in this way: when you need
                      to know the average age of a town, the data would
                      consist of huge numbers, but numerical calculation
                      would be easy. However, if you want to see how the
                      average life expectancy of the people in the town changes over time, statistical data processing
                      would help you to predict the average age of healthy individuals. Let’s understand it with some
                      more examples.

                          If you show an AI application many pictures of camels and giraffes, it uses statistics to determine
                         what makes a camel look different from a giraffe.

                          Based on history, AI can predict potential future outcomes. Like, YouTube recommends video
                         based on your previous viewing preferences.

                          Statistical methods help AI identify its mistakes and learn how to fix them. This helps the model
                         to improve over time.

                      Why is Statistical Data Important?
                      Statistical data is essential in any AI system, as it helps uncover hidden and unexpected insights.
                      Its visual representation makes  the data  easier to  understand,  while data  analysis  supports
                      informed decision-making. The following points highlight the importance of statistical data in AI:

                          AI uses statistics to analyse data, extract patterns and make predictions.

                          Statistical techniques help forecast outcomes using past data.
                          Statistics quantifies uncertainty, aiding accurate decisions.

                          Different metrics like precision, recall and F1-score assess model performance.
                          It helps AI understand cause-effect relationships for better predictions.

                          It identifies trends, outliers and meaningful patterns in data.
                          It uses statistical methods to learn, reason and predict.

                      REAL-LIFE APPLICATION OF STATISTICAL DATA

                      Statistical data is all around us and helps in making smart decisions every day. Let’s learn some
                      real-life applications of Statistical Data.

                                     AI RoboGenius - VII
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