Page 285 - AI Ver 3.0 Class 11
P. 285

Task                                                   #Experiential Learning



                     Create a list of variables related to your classmates, such as height, eye colour, hair length and weight. Ensure
                     your list covers nominal, ordinal, interval, or ratio level variables. Define clear response categories that are
                     exhaustive and mutually exclusive. For instance, for eye colour, categories could include blue, brown, green,
                     hazel, and other.







                                Reboot


                      Indicate whether the variable is ordinal or not. Write the variable type, if it is not ordinal.
                         1.  Are you eligible to vote?

                         2.  How did you like the session? (1-5)
                         3.  Heights of men (in inches).
                         4.  Grading in exams (A,B,C,D).






                        Statistical Analysis of Data

                                                                                                              Mean
                 Statistical  analysis  involves  collecting, exploring, and
                 presenting large datasets to identify patterns and trends.
                 It is a powerful tool that employs statistical, tests and   Measures of Central            Median
                 methodologies to derive meaningful conclusions from raw         Tendency
                 data. It helps in predicting future trends and making informed
                 decisions based on historical patterns.                                                      Mode


                        Calculating Measure of Central Tendency using Python

                 Statistical analysis can be performed using the Python programming language. That requires us to import the library
                 statistics into the Python program. Some significant functions that we will utilise in future programs in this module
                 include:

                           Function                                       Description

                      statistics.mean()   Calculates the mean (average) of the provided data.

                      statistics.median()  Calculates the median (middle value) of the provided data, when arranged in order.
                      statistics.mode()   Determines the mode of provided numerical or nominal data.

                      statistics.stdev()  Computes the standard deviation from a sample of data.

                      statistics.variance()  Calculates the variance of a sample of data.

                                                                   Data Literacy—Data Collection to Data Analysis  283
   280   281   282   283   284   285   286   287   288   289   290