### Tedext ### Graphing Techniques in Statistics - Data representation

Graphing, and different GraphingĀ Techniques are extremely important in Statistics. In order to understand your data coming in a Sample from a Population graphs of that data allow you to visualize your data rather than only summarize it and do other numeric computations.

Numeric computations are also very important . and when combined with graphing help to tell the entire "Story" about a set of data.

There are several types of graphs, and they are used for different kinds of data. For example BAR Charts are ordinarily used to show data that isĀ whole integers .

For example if your research involves counting number of persons in different categories as Freshmen,Sophomores,Juniors, and Seniors, each with a separate count then those whole numbers would be shown separately as a bar for each category. By the way researchers and statisticians call this kind of dataĀ "Categorical Data "

On the other hand, if the data you might want to graph is decimal (ex 15.35) as compared  to 15 (integer data), then you would  use a  Histogram Graph. Bar Charts usually are physically  separated for each category as compared to Histograms where the data is shown as continuous

Stem and Leaf plots are usually employed when there is a small amount to data to display visually.

Box Plots , otherwise called 5 Point Plots, are often  used to describe continuous data , and they nicely summarize the data by displaying the following.

1. Smallest Value (Minimum) of the data

2. First Quartile (or smallest 25%) of the data

3. Median of the data

4. Third Quartile (or 75%) of the data

5. Maximum Value of the data

Examples of each of these of graphs are shown in the text and I ask you to read about them and ask lots of questions

For your Discussion Questions for Week 2, I ask that you choose and post a response to each of two(2)  of the following questions , then choose two other students postings and respond to each of those postings.

1. Create  a Bar Chart that you make up , and provide data for that Bar Chart. Describe the data, and what you want to show the viewer about that data

2. Create a Histogram using data that you make up. Describe the data and what you want to show the viewer about that data

3. Create a Stem and Leaf Plot you make up. Describe the data and what you want the viewer to see about the data

4. Create a Box Plot and show the made up minimum, first quartile, median, third quartile and maximum values. Describe what you want the viewer to understand from this plot

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