Exploring Box Plots

The video tutorial explains how to create and interpret box plots, a method for visualizing data. It covers the five key numbers needed: minimum, maximum, median, Q1, and Q3. The tutorial demonstrates how to order data, identify these numbers, and construct a box plot on a number line. It also includes practical examples to reinforce understanding.

What is the primary purpose of a box plot?

• To show the correlation between two variables

• To calculate the mean of a dataset

• To predict future data points

• To display the distribution of data

Which of the following is NOT one of the five key numbers used in a box plot?

• Median

• Minimum

• Q1

• Mean

How is Q1 determined in a dataset?

• It is the maximum value of the dataset

• It is the median of the second half of the dataset

• It is the median of the first half of the dataset

• It is the mean of the dataset

What does the line inside the box of a box plot represent?

• The maximum

• The minimum

• The median

• The mean

What are the 'whiskers' in a box plot used to represent?

• The minimum and maximum

• The Q1 and Q3

• The mean and median

• The standard deviation

In a box plot, if the median line is closer to Q1 than Q3, what does it indicate about the distribution?

• It is skewed to the left

• It is symmetric

• It is skewed to the right

• It has no outliers

Which value is used as the starting point to draw the box in a box plot?

• The maximum

• Q1

• The median

• The minimum

What does the box in a box plot represent?

• The total spread of the dataset

• The interquartile range of the dataset

• The mean of the dataset

• The range of the dataset

How do you find the range of data from a box plot?

• Subtract the minimum from the maximum

• Add the minimum and maximum

• Subtract the median from the maximum

• Subtract Q1 from Q3

What is the interquartile range (IQR) of a dataset?

• The difference between the median and the maximum

• The difference between Q1 and the median

• The difference between Q1 and Q3

• The sum of Q1 and Q3