Practice calculating quartiles for ungrouped data using the Mendenhall and Sincich method. Includes examples and exercises.

The lesson plan outlines teacher and student activities including examples to illustrate quartiles and the two calculation methods - Mendenhall and Sincich method and linear interpolation.

May 2, 2023 · The document provides information about different measures of position for ungrouped data, including quartiles, deciles, and percentiles. It defines each measure and explains how to calculate them using methods like the …

Linear Interpolation A method in finding the quartile value when the result of Mendenhall is decimal. Step 1. Arrange the data in ascending order. Step 2. Locate the position of the data in the distribution. Step 3. If the result is decimal, proceed for linear interpolation. Steps in solving quartiles using Linear Interpolation. 1.

This document discusses methods for calculating percentiles of ungrouped data, specifically the Mendenhall and Sincich method and linear interpolation method. Percentiles divide ranked data into 100 equal parts and are useful for summarizing a distribution.

The Mendenhall and Sincich method and linear interpolation for calculating quartiles are described. The positions of quartiles, deciles, and percentiles are calculated using formulas. An example calculation is provided for each measure.

Today we discussed all about Quartile of Ungrouped Data which means the score points which divide the distribution into four equal parts. Quartile has 3 methods, the Method 1, Mendenhall and Sincich method, and Linear Interpolation. A. Observe around your community. Make a problem involving quartiles base from what you observe.

EXAMPLE: Find the First Quartile (Q1), and the Third Quartile (Q3), given the scores of 9 students in their Mathematics activity using linear interpolation. 1, 27, 16, 7, 31, 7, 30, 3, 21 LINEAR INTERPOL ATION A METHOD OF FINDING THE QUARTILE VALUE. LINEAR INTERPOLATION FOR QUARTER I STEP A1.