Page 2: Comparative Analysis Using Box Plots

This page demonstrates advanced applications of box plots through comparison of male and female turtle masses, showcasing how box plots can be used for population comparison.

Example: The turtle mass comparison clearly shows sexual dimorphism, with male turtles having generally higher masses than females.

Highlight: The analysis demonstrates how to use box plots to make predictions about population membership, as shown in determining the likely sex of a 330g turtle.

Definition: The interquartile range (IQR) represents the middle 50% of the data and is calculated as Q3 - Q1.

Page 1: Box Plot Construction and Basic Statistics

This page introduces fundamental concepts of box plot construction and statistical analysis through practical examples. Students learn to interpret and create box plots from summary statistics and analyze examination data.

Definition: A box plot is a standardized way of displaying the distribution of data based on five numbers: minimum, first quartile, median, third quartile, and maximum.

Example: The first exercise presents student test scores with values ranging from 28 to 72, demonstrating how to construct a box plot from given quartile data.

Highlight: The examination marks analysis shows how to calculate key statistical measures including the interquartile range (47-32=15) and total range (76-12=64).

Vocabulary: Quartiles divide data into four equal parts, with the median representing the middle value of the dataset.