Exploring Stem and Leaf Plots: Creation and Interpretation

Mr. Buffington explains stem and leaf plots, a method to visually display numbers while retaining their values. He demonstrates how to create these plots, order numbers, and use them to find the range and quartiles. The video includes examples and practice exercises to reinforce understanding of medians and quartiles within the plots.

What does the left side of a stem in a stem and leaf plot represent?

• Units

• Tens

• Hundreds

• Thousands

What is the purpose of a key in a stem and leaf plot?

• To list all the data points

• To explain what the numbers represent

• To color code the data points

• To provide a title for the plot

In a stem and leaf plot, if the stem represents tens and the leaf represents ones, what does a row with 5 on the stem and 2 on the leaf represent?

• 25

• 52

• 520

• 250

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

• Listing all possible numbers

• Sorting the numbers

• Drawing the stem

• Drawing the leaves

How do you find the range in a stem and leaf plot?

• Add the highest and lowest values

• Subtract the highest value from the lowest

• Subtract the lowest value from the highest

• Multiply the highest and lowest values

How is the range calculated in a stem and leaf plot?

• Average of maximum and minimum values

• Maximum value plus minimum value

• Maximum value minus minimum value

• Minimum value minus maximum value

What is the median in a data set?

• The middle value when the data is ordered

• The difference between the highest and lowest values

• The most frequently occurring number

• The average of all numbers

Which quartile is the median also known as?

• Quartile 3

• Quartile 4

• Quartile 2

• Quartile 1

What does Quartile 3 represent in a stem and leaf plot?

• The total range of the data

• The median of the lower half

• The median of the upper half

• The average of all data points

How do you find Quartile 1 in a stem and leaf plot?

• It is the lowest value in the data set

• It is the highest value in the data set

• It is the median of the upper half of the data

• It is the median of the lower half of the data