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View Example. Generating Your Document. Reviews [0]. No review posted yet. National University. Seller Details. We can use statistics to examine data in various domains to track evolving patterns, then utilise the results to develop conclusions and forecasts.
Statistics is a discipline of mathematics that deals with data analysis and numbers. The study of data collection, analysis, interpretation, presentation, and organisation is known as statistics. Learn Exam Concepts on Embibe. Therefore, statistics is concerned with gathering, classifying, organising, and presenting numerical data in a given context. It enables us to analyse a range of data. We can identify multiple measures of central tendency and the deviation of distinct values from the centre by using statistics.
The classification of statistics are given below:. The basic notions of mean, median, mode, variance, and standard deviation are the stepping stones for practically all statistical computations. The ratio of the sum of all observations to the total number of observations in a data set is known as the mean. Practice Exam Questions. The middle number or centre value in a set of data is called the median.
The midpoint of the set is also known as the median. A median is a number that separates the upper and lower halves of a data sample, population, or probability distribution. Attempt Mock Tests. In a data set, the mode of data is the observation with the highest frequency. But It is not possible to calculate the mode of a grouped frequency distribution simply by looking at the frequency.
In such circumstances, the modal class is used to determine the mode of the data. The modal class contains the mode property.
Learn All the Concepts on Statistics. The difference between the highest and lowest values among the given data set is called range. A statistical measure of the average deviation of data in a sample from the centre value is mean deviation. Correlation Coefficient. Linear Regression. Coefficient of Variation. Normal Probability Distribution. Poisson Probability Distribution. Binomial Probability Distribution. Negative Binomial Probability Distribution.
PDF of Exponential Distribution. PDF of Uniform Distribution. PDF of Triangular Distribution. PDF of Gamma Distribution. PDF of Weibull Distribution.
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