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Answer :
The data of student heights have been organized into a grouped frequency distribution table with class intervals of 5 cm each. This helps visualize how many students fall within each height range. Use this method for easier analysis of grouped data.
Grouped Frequency Distribution Table for Student Heights
To represent the data as a grouped frequency distribution table, we will use the class intervals of 160−165, 165−170, etc. Here is the step-by-step process:
- First, determine the frequency of each height value falling within the specified class intervals.
Frequency Distribution Table
Class Interval (cm) Frequency 150 -15510155-1607160-16516165-17010170-1757
This table groups the student height data into intervals of 5 cm each and counts the number of students within each interval.
- Frequency Distribution
- Class Intervals
- Height Data
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A grouped frequency distribution table for the heights of students is created using the specified class intervals, with each interval's frequency counted based on how many student heights fall within it.
To create a grouped frequency distribution table for the heights of the students, we first list the class intervals given and then count the number of data points (student heights) that fall into each interval.
As the question specifies class intervals such as 160 dash165, 165 dash170, etc., we will use these to organize the data.
Class Interval (cm) Frequency
150 -155 11
156 -160 5
161 -165 14
166 -170 10
171 -175 3
To count the frequencies, simply tally how many heights fall within each interval. For example, there are 11 students with heights from 150 to 155 cm.