Part 3: Histograms and Steam and Leaf

Multiple Choice

Why is it important to summarize large sets of quantitative data before analyzing them?

• It helps us see patterns and trends more easily.

• It makes the data more complicated.

• It hides important information.

• It is required for all types of data.

Multiple Choice

What is the purpose of dividing the span of values into equal-width bins when creating a histogram?

• To make the data easier to analyze and visualize

• To reduce the number of data points

• To eliminate outliers

• To increase the number of variables

Multiple Choice

Which of the following statements about relative frequency histograms is correct?

• They display the percentage of cases in each bin instead of counts.

• They always have more bins than regular histograms.

• They ignore the area principle.

• They are only used for categorical data.

Open Ended

What is one advantage of using a stem-and-leaf display over a histogram when analyzing quantitative data?

Open Ended

Compare the histogram and stem-and-leaf display for the points scored in a basketball game. Which graphical display do you prefer?

Multiple Choice

Based on the pepper pungency data, which stem value would have the highest frequency in a stem-and-leaf plot?

• 3

• 4

• 5

• 2

Open Ended

What is one thing you learned today about dealing with quantitative data that you found surprising or useful?

Multiple Choice

Which of the following are important criteria when creating a histogram and a stem-and-leaf plot, according to the rubric?

• Histogram bars are equal width and touch each other.

• Stem and leaves are appropriately chosen and written.

• A key is included that describes what the stem and leaf represents.

• All of the above.

• Be respectful

• No off topic yapping

• Participate by talking to your group

• Compare answers as you work

• Everyone has to draw the graphs