Page 160 - Data Science class 10
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2.  An impartial coin has a probability of ____________________ for each outcome.
              a.  1                                              b.  0.5

              c.  0                                              d.  None of these
            3.  The continuous uniform distribution is also known as ____________________ .

              a.  Rectangle distribution                         b.  Triangle distribution
              c.  Square distribution                            d.  None of these

            4.  The range of probability is ____________________ .
              a.  any value greater than zero                    b.  any value less than one

              c.  zero to one                                    d.  any value between −1 to 1
            5.  Which of the following is a characteristic of normal distribution?

              a.  The mean, median, and mode are equal.
              b.  The normal curve is bell-shaped and is symmetric about the mean.
              c.  The total area under the normal curve is equal to 1.

              d.  All of these

            6.  Which of the following is the another name of normal distribution?
              a.  Gaussian distribution                          b.  Bell curve
              c.  Both a. and b.                                 d.  None of these

            7.  Which if the following describes how dispersed a set of data is?
              a.  Variability                                    b.  Probability

              c.  Compatibility                                  d.  Availability

            8.  Which of the following is the starting point in the Statistical Problem Solving Process?
              a.  Interpret Results                              b.  Collect Data
              c.  Analyse Data                                   d.  Planning the problem (Ask a Question)


        B.  State whether these statements are true or false.
            1.  The probability that a continuous random variable is equal to an exact value is always equal to one.
            2.  Uniform distribution has both continuous and discrete forms.
            3.  The different outcomes of rolling a 6-sided die serve as a good illustration of a discrete uniform distribution.

            4.  A discrete probability distribution is composed of continuous variables.
            5.  A continuous probability distribution is composed of discrete variables.
            6.  Data collection designs must acknowledge variability in data.


             Standard Questions (Section B)


        A.  Short answer type questions:
            1.  What is Probability Density Function?

            2.  What is binominal distribution?
            3.  What is the role of collecting data?

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