Stem and Leaf Plot Concepts

The video tutorial explains stem and leaf plots, a method for displaying data that retains original values. It covers the basics of constructing these plots, their advantages over frequency tables, and how to order them for better data analysis. The tutorial also introduces back-to-back stem and leaf plots for comparing two data sets.

What does the 'stem' represent in a stem and leaf plot?

• The decimal part of the number

• The ones digit of the number

• The hundreds digit of the number

• The tens digit of the number

In a stem and leaf plot, what does '1 | 3' represent?

• The number 13

• The number 31

• The number 1.3

• The number 3.1

Why are stem and leaf plots useful compared to frequency tables?

• They are more colorful

• They are easier to draw

• They preserve the original data

• They require less space

What information is lost when using a frequency table instead of a stem and leaf plot?

• The mode of the data

• The mean of the data

• The range of the data

• The exact number of occurrences of each data point

How are stems chosen when constructing a stem and leaf plot with two-digit numbers?

• Using the last two digits

• Using the first two digits

• Using the last digit only

• Using the first digit only

What is the first step in constructing a stem and leaf plot?

• Choosing the stems

• Choosing the leaves

• Drawing the plot

• Ordering the leaves

Why is it important to reorder the leaves in a stem and leaf plot?

• To change the data

• To reduce the number of leaves

• To quickly gather information

• To make the plot look nicer

What does an ordered stem and leaf plot allow you to do more efficiently?

• Calculate the mean

• Identify the mode

• Find the median

• Determine the range

When constructing a stem and leaf plot with single-digit numbers, what is used as the stem?

• The number divided by two

• The number plus one

• The number minus one

• The number itself

What should be done if a number is missed while constructing a stem and leaf plot?

• Ignore it

• Remove another number

• Add it to the plot

• Start over