The number of times a particular item occurs in a given data is called...
Frequency:
Frequency refers to the number of times a particular item occurs in a given dataset. It is a measure of how often an item appears and is an essential component in statistical analysis.
Importance:
Frequency helps in understanding the distribution of data, identifying trends, and making comparisons between different groups or categories. It provides valuable information for making decisions and drawing conclusions.
Calculation:
To calculate the frequency of an item, you simply count the number of times it appears in the dataset. For example, if you have a list of numbers {2, 5, 2, 8, 2, 5, 3}, the frequency of the number 2 would be 3 because it appears three times in the list.
Representation:
Frequencies are often represented using frequency tables, histograms, or bar charts. These visual representations help in easily interpreting the data and spotting any patterns or outliers.
Applications:
Frequency is used in various fields such as market research, quality control, scientific research, and many more. It plays a crucial role in data analysis and decision-making processes.
In conclusion, frequency is a fundamental concept in statistics that provides valuable insights into the distribution and occurrence of data. Understanding the frequency of items in a dataset is essential for making informed interpretations and drawing meaningful conclusions.
To make sure you are not studying endlessly, EduRev has designed Class 9 study material, with Structured Courses, Videos, & Test Series. Plus get personalized analysis, doubt solving and improvement plans to achieve a great score in Class 9.