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Thought-Process to Discover Knowledge

Welcome to nubtrek.

Books and other education websites provide "matter-of-fact" knowledge. Instead, nubtrek provides a thought-process to discover knowledge.

In each of the topic, the outline of the thought-process, for that topic, is provided for learners and educators.

Read in the blogs more about the unique learning experience at nubtrek.
mathsStatistics and ProbabilityStatistics: Grouped Data

### Predicting using Grouped Data : Probability

In this page, finding probability of grouped data is explained with some examples.

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Considering the data height of students in a class of 20 students.

Considering this to be representative data for students of that age group, We try to predict the height of a student.

The probability of a random student in the height range 95 to 100 =5//20

Considering the data height of students in a class of 20 students. Considering this to be representative data for students of that age group, the probability of a random student of that age group in each of the range is given in the table.

Considering the data height of students in a class of 20 students.

Considering this to be representative data for students of that age group,
We try to predict the height of a student.

The probability of a random student to be exactly 97cm high is 0. It is noted that the probability of getting one particular value is 0 in continuous distribution. This will be explained in detail in higher classes.

Consider the data height of students in a class of 20 students.

90.2, 97.4, 99.7, 88.3, 90.7

93.5, 96.8, 89.5, 99.5, 98.9

91.2, 101.3, 94.0, 93.4, 93.1

94.7, 96.9, 92.8, 91.8, 99.6

The figure shows the grouped data with ranges less than 90, 90 to 95 range, 95 to 100 range, and greater than 100.

It is noted that, This is one possible grouping and the data can be grouped in different ranges.

Considering the data height of students in a class of 20 students. Probability of the same is given in the figure.

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