Current Affairs 9th Class

Learning Objectives:
  • To understand the terms data, Array, Frequency, Mean, Mode and Mean.
  • To understand how to find the mean of grouped and ungrouped data.
  • To learn how to find the mode of given set of observation.
  • To learn how to find the median of ungrouped data.
  • To understand bar graphs and Histogram.
  • To understand the term probability and learn how to find the probability of an event.
  DATA: A collection of numerical figures giving some particular type of information is called data. Example: The marks obtained by 10 students in a class test (out of 50) are: 24, 43, 49, 38, 36, 36, 31, 40, 42, 15. Raw data: Data obtained in original form is known as raw data. Data given in above example is raw data.   ARRAY: Arranging the data in ascending or descending order is known as array. Like in above example on arranging the above data in ascending order will be as: 15, 23, 31, 36, 36, 38, 40, 42, 43, 49. It is known as array.   TABULATION OF DATA: Arranging the data in form of table is known as tabulation of data.   OBSERVATION: Each numerical figure in a data is called observation.   FREQUENCY OF AN OBSERVATION: The number of times a particular observation occurs is called its frequency. In above example 36 occurs two times so its frequency is 2.   STATISTICS: Statistics deals with the collection, presentation, analysis and interpretation of numerical data.   MEAN OF UNGROUPED DATA: \[\text{Mean:}\,\,\frac{\text{Sum of the given observations}}{\text{No}\text{. of given observations}}\] Example: Find the mean of the numbers 7, 6, 8, 9, 5, 4, 3, 7, 8, 2 Solution: Sum of the given numbers = 7 + 6 + 8 + 9 + 5 + 4 + 3 + 7 + 8 + 2 = 59 No. of given observation = 10 \[\text{Mean}=\frac{59}{10}=5.9\]   MEAN OF TABULATED DATA: If the frequency of \[n\] observation \[{{x}_{1}},{{x}_{2}},{{x}_{3}}........{{x}_{n}}\] are \[{{f}_{1}},{{f}_{2}},{{f}_{3}}.........{{f}_{n}}\] respectively then \[\text{Mean}=\frac{({{f}_{1}}{{x}_{1}}+{{f}_{2}}{{x}_{2}}+{{f}_{3}}{{x}_{3}}.....{{f}_{x}}{{x}_{n}})}{({{f}_{1}}+{{f}_{2}}+{{f}_{3}}.....{{f}_{n}})}=\frac{\Sigma ({{f}_{i}}\times {{x}_{i}})}{\Sigma {{f}_{i}}}\] \[\Sigma =\]Greek letter showing summation   Example: The following table shows the weight of 15 workers in a factory.
Weight (kg) 60 63 66 72 75
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