In the previous session, you explored measurement and variation. You learned that there is almost always variation in statistical data, and you looked at potential sources of the variation, including random error and bias. You may also recall that there are four components to statistical problem solving:
In this session, we will focus on the last two steps of this process -- analyzing data and interpreting results. A proper analysis of data can help you provide better answers to statistical questions. Note 1
In this session, you will learn how to do the following:
Organize data in a line plot and a frequency table
Organize data in a cumulative frequency table
Use intervals to answer a statistical question
Determine the median of a set of data
Determine relative frequencies and create bar graphs of your data