Probability and Statistics

Pearson Correlation Coefficient

In Stats, the term Pearson’s correlation coefficient is defined  as  a statistical measure to show how strong a linear relationship between two sets of data is. It is  designated by the letter r in a sample and is constrained by design in the following way:    -1≤r≤1 In addition, the positive values indicate positive linear correlation […]

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Pareto chart

Besides the Pareto chart, the Pareto diagram and Pareto analysis are other names for the same thing. It is named after the Italian economist Vilfredo Pareto, who first described the Pareto principle, according to which approximately 80% of the outcomes result from only 20% of the conditions in many events, which is named after him.

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Parametric and non-parametric

A parametric test is one in which the parameters are assumed to be true and the population distribution is known at all times. It is necessary to compute the central tendency using a mean value. These tests are common, and as a result, conducting research is relatively simple and does not require a significant amount

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Overview of Mean Deviation for Grouped and Ungrouped Data

There can be possibly a large number of ways in which the grouped or ungrouped data can be spread around for an experiment. In that case, it becomes quite difficult to calculate the accurate outcome with great precision. If we are aware of the point over which most of the data is concentrated, then that

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Number names 1 to 30

 A number is a mathematical object that can be used to count, measure, or name things. The natural numbers such as 1, 2, 3, 4, and so on are some of the examples. Number words are used to show numbers in language. Numerical symbols, which are used to represent numbers, should be distinguished from numbers.

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Non parametric test

Parametric statistics are based on assumptions about the population distribution that the sample was drawn from. Nonparametric statistics are not based on assumptions, which means that data can be acquired from a sample that does not fit into a certain distribution.The three hypothesis testing modules covered a variety of hypothesis tests for continuous, dichotomous, and

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Mode Deviation for Grouped and Ungrouped Data

One of the values of the measures of central tendency is the mode. This number gives us a general notion of which data set elements are most likely to occur. For instance, we are aware that a college offers 10 different course options to its students. The course with the greatest number of student registrations

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Merits and Demerits

The observations based on any test conducted–be it any experiment for reading the changes in value–can be noted to vary between a range. The value for each experiment may not be identical. These values may be noted to be within a range of numbers. Thus, the range may not be useful for all scenarios. Few

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics

Measures of discretion

In certain sectors, dispersion is sometimes referred to as the second-order average. Dispersion is described using the words range, mean deviation, quartile deviation, and standard deviation. The words mean, median, and mode are used to describe first order averaging. A measure of dispersion is used to represent dispersed data. It discusses the differences between data

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Class 12, IIT JEE, Maths, Measures of central tendency, Probability and Statistics