Page 161 - Data Science class 10
P. 161

4.  What is the formula for discrete uniform distribution?
               5.  What does PMF stand for?


            B.  Long answer type questions:
               1.  What is considered as Normal distribution of data in statistics and why it is so important?
               2.  What is the purpose of learning Statistical Problem Solving Process?
               3.  Explain in detail how we formulate statistical investigative questions.           [CBSE Handbook]


                                                                                                       Critical Thinking

                 Higher Order Thinking Skills                                                               (HOTS)
               1.  Consider that there are 60 students in your class out if which 20 get affected with cold and flu every semester. Note
                  down five statistical investigative questions for determining a student’s immunity to a catching cold and flu.
                                                                                                     [CBSE Handbook]
               2.  Consider you are taking a part in an animal welfare campaign. One of the most recent concerns raised by people is dogs
                  not being able to tolerate sudden rise in temperatures due to global warming. Note down five statistical investigative
                  questions to understand how dogs react to changing weather.

                 Applied Project                                                                         Creativity

            Consider that you have a food event in your residential society. Perform detailed analysis and interpret what should be the top
            five cuisines that most people in the society prefer for this event.





































            Answers
             Exercise (Section A)
             A.   1. c.  2. a.  3. d.  4. c.  5. a.  6. a.  7. c.  8. d.  9. d.  10. a.  11. c.  12. d.  13. d.  14. d.
             B.  1. Probability distribution  2. Probability   3. Discrete Data  4. Continuous Data  5. Bernoulli  6. Binomial
                 7. Poisson               8. Probability Mass Functions (PMF)



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