In the previous session, you saw how different ways of representing data -- such as line plots, bar graphs, frequency and relative frequency tables, and cumulative frequency and relative cumulative frequency tables -- allowed you to provide better answers to statistical questions.

Part A:	Organizing Data in a Stem and Leaf Plot
Part B:	Histograms
Part C:	Relative and Cumulative Frequencies
Part D:	Ordering Hats
Homework

We also examined how to answer statistical questions when there is variation in data. One idea was to express your answer as an interval, such as the interval in which all of the data are located or an interval with a concentration of data. Another method was to use a "typical" value to represent all the values in your data set, such as the mode or the median.

In this session, you will investigate some approaches to grouping data in graphs and tables, and you will examine different types of statistical answers to questions based on these grouped representations.

In this session, you will learn how to do the following:

Organize data in a stem and leaf plot

Group the data from a stem and leaf plot

Complete a frequency and relative frequency table for your grouped data

Create a frequency and relative frequency histogram for your grouped data

Complete a cumulative frequency and relative cumulative frequency table for your grouped data

Throughout the session you will be prompted to view short video segments. In addition to these excerpts, you may choose to watch the full-length video of this session.

Previously Introduced:

New in This Session:

cumulative frequency
discrete data
frequency
interval
line plot
median
mode
relative frequency
variation

continuous variable
grouped frequency table
histogram
relative cumulative frequency histogram
relative frequency histogram
stem and leaf plot

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Session 3: Index | Notes | Solutions | Video