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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 program emphasizes the need for random samples, explains how several random samples of the same size will vary, and then looks at ways of dealing with this variability, calculating the Standard Error of the Mean, and how to estimate the "95% Confidence Interval." The program goes on to show how, when dealing with quantitative data, you can calculate the size of the sample that is needed in order to achieve the precision required. (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)
 
Polling and Statistics

This program shows how statistics are used to forecast the outcome of elections, and how faulty polling methodology produces inaccurate results. The program focuses on the 1992 British parliamentary elections, in which four major polling companies 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)
 
Bivariate Data: When y Depends on x
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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 it...(more details)
 
Statistical Models in Medicine

In this program, statisticians in Barcelona use statistical models to trace the cause of asthma outbreaks. Data gathered from hospital admission records is placed on a time series clock, from which times, frequency, and general locations of outbreaks...(more details)
 


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