In today's changing times, pursuing a career in this subject is known to provide some of the most sought professional options. And this is the reason why most students find it to be an interesting subject.
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Statistics is a quite tough subject but for those who know how to use their mind, it’s the best one for them as it involves more practical knowledge and conceptual learning. Tips and Tricks to study Discrete and Continuous Data The number of books in a rack is a finite countable number. The result of the rolling is a dice is 1, 2, 3, 4, 5, 6, 7, and 8. The number of animals in a zoo is continuous data because the number of animals varies yearly depending on the reproduction of new animals or the arrival of new animals. The height of a student from age 5-15 is continuous data because the height varies continuously from age 5-15 which is not a constant for 10 years. Q: Classify the Following as Discrete and Continuous DataĪns: Ducks in a pond are discrete data because the number of ducks is a finite number. Questions on Discrete Data Continuous Data The points are associated with an unbroken line. Points in a graph of the discrete function remain unconnected. Grouped distribution of continuous data tabulation frequencies is performed against a value group. Ungrouped frequency distribution of discrete data is performed against a single value
The bar graph is used to graphically represent discrete data.Ī histogram is used to graphically represent continuous data. There are distinct or different values in discrete data.Įvery value within a range is included in continuous data. The type of data that has clear spaces between values is discrete data.Ĭontinuous information is information that falls into a continuous series. We may prefer not to think of 10,00,100 and 10,00,102 as crucially different values, but instead as nearby points on an approximate continuum.ĭifference Between Continuous and Discrete Data On the other hand, if we count large quantities of any discrete entity. Height is continuous but we sometimes don't really worry too much about minor variations and club heights into a set of discrete data instead. according to measurement accuracy, it can be significantly subdivided into smaller sections.Ĭontinuous Data Examples: Measurement of height and weight of a student, Daily temperature measurement of a place, Wind speed measured daily, etc. The continuous data can be broken down into fractions and decimals, i.e. It may take any numeric value, within a potential value range of finite or infinite. Over time, some continuous data can change. It includes only those values which are separate and can only be counted in whole numbers or integers, which means that the data can not be split into fractions or decimals.ĭiscrete Data Examples: The number of students in a class, the number of chocolates in a bag, the number of strings on the guitar, the number of fishes in the aquarium, etc.Ĭontinuous data is the data that can be of any value. It only contains finite values, the subdivision of which is not possible. These values do not have to be complete numbers, but they are values that are fixed. It is further classified as discrete data and continuous data.ĭata that can only take on certain values are discrete data. Quantitative data, on the other hand, is one that contains numerical values and uses a scope. It is not possible to measure qualitative data in terms of numbers and it is subdivided into nominal and ordinal data. It is classified into two broad categories: qualitative data and quantitative data. For the purpose of analysis, data are presented as the facts and figures collected together.
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