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ORGANISING THE DATA

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What is data ? Data is a collection of facts, such as values or Measurements. It can be numbers, words, measurements, observations or even just description of things.

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why do we organize data? The advantages of organizing data is that, we get an overall view of the result of our data and through this, one can easily interpret the data and can make decisions or policies. a picture is worth a thousand words

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We collected the data of (a) the percentage of marks in class 12 th by the students our class (b) the height of the students of the students (c) weight of the students of our class Aman weighs 78 kg, is 172cm tall and has scored 91% marks, Rupal has scored 92%, is 153 cm tall and weighs 54 kg ; Yashika- height 146cm, scored 86 %, weight 43kg,.

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If one has to continue writing for 20 students, it would be extremely cumbersome and no one would have the patience to read the whole data. It would be difficult to interpret. Instead, we could neatly write down all the observations in the form of table.

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Student Aman Rupal YashikaShubham Pratik PriyankaAbhishekParulAshish Mayank Marks (%)91969389868392888794 Height (cm)181161153179169170171168177172 Weight (kg)78544380875070546778 Student Neetu Prerna Richi Shweta Manoj Arun VivekBushra Rahul Upasna Marks (%)91969389677288928374 Height (cm)168160162152168172169170173154 Weight (kg)45605542796570507243

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Weight in kgNumber of student 421 432 451 502 542 551 601 651 671 702 721 782 791 801 871 Total20 Here, we analyzed only the weight of the students. The least weight is 42 kg whereas the maximum weight is 87 kg. The range in which the weight of the class lies is 42 kg- 87 kg. Organizing the data in such a form is as discrete frequency distribution. The data that consists of numbers (marks, height, weight, etc.). Such data is called Quantitative data.

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Weight in kgNumber of student 40 weight