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This program demonstrates how "qualitative" bivariate data can be visualized by using a modification of the simple Bar Chart. Quantitative data is dealt with by developing the Dot Plot into the Scatter Diagram, which allows any correlation to show itself in a linear relation. The program explains how this correlation can be modeled by calculating a "Line of Best Fit," how to calculate 95% Confidence Bands, and how to calculate a summary measure for any correlation called the Correlation Coefficient. Finally, the program explains how to deal with data that indicates a curved Line of Best Fit by either finding a way of re-plotting to provide a linear correlation or, alternatively, how to calculate a curved Line of Best Fit. (20 minutes)



 
                

Item#: This title is currently not available.
Copyright date: ©1996



Part of the Series : Why Use Statistics?
     


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Describing Data
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Beginning with an explanation of the difference between "qualitative" and "quantitative" data, this program goes on to explain various ways of presenting data, including Dot Plots, Bar Charts, and Histograms. The program also explains Summary Measure...(more details)
 
Using Samples
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This program begins with an explanation of the difference between a Population and a Sample, and the reasons why samples are so important in estimating data relating to populations too large or too impractical to be measured in their entirety. The pr...(more details)
 
Handling Variability
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This program examines the measurement of blood pressure to introduce the idea that multiple measurements may produce very variable results. The idea that measurement "errors," together with fluctuations in the parameters being measured, create variab...(more details)
 
Fractions
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This video describes the meaning of fractions and how to solve problems involving sums and products. Dramatized segments and computer animations focus on adjusting ingredient amounts to vary the yield of recipes at a bakery; deciding whether to hire ...(more details)
 
Other Graphical Methods and Numerical Methods
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A knowledge of graphing is essential to visualizing data-and sometimes leads to free nachos. Moving beyond the relative frequency histogram, this program studies the distribution curve and the stem-and-leaf display. Then, after distinguishing between...(more details)
 


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