Page 217 - Data Science class 10
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GLOSSARY






              1.  Median: It is the “middle” value in the list of numbers.

              2.  Mode: It is the number that appears the most in a dataset.

              3.  Variance: It measures the distance of each number in the data set from the mean and also from every other
                number in the set.

              4.  Standard Deviation: It is a statistic that measures the degree of dispersion of a data set relative to its average.

              5.  Prejudice: It means preconceived opinion that is not based on reason or actual experience.

              6.  Discrete Data: It refers to the data that accepts only particular values. For example, if you take a test, you can
                pass or fail in it.
              7.  Probability Distribution: It is a mathematical approach that displays the likely values for a variable and how
                frequently they occur.

              8.  Frequency: It is the number of times an event or a value occurs.

              9.  Frequency Table: It is a table that lists items and shows the number of times the items occur.
              10.  Central Tendency: It means the value derived from the random variables in the set of data that reflects the
                midpoint of the data distribution.

              11.  Opinion: It is a statement that expresses a feeling, an attitude, a value judgment, or a belief. It is a statement
                that is neither true nor false.
              12.  Preference: It is the act of selecting or having a particular preference for one person or thing rather than
                another or others.

              13.  Confirmation  Bias: It is  a something which does not happen due to the lack of data  availability. It is a
                phenomenon wherein data scientists or analysts tend to lean towards data that is in alignment with their
                beliefs, views, and opinions.
              14.  Z-score: It is the position of a point in terms of its distance from the mean when it is calculated in standard
                deviation units.

              15.  Data Governance: It is a collection of processes, roles, policies, standards, and metrics that ensure the effective
                and efficient use of information to help an organisation reach its objectives.





















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