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Jason Gibson explains how to calculate population and sample means. He also discusses the difference between a population and sample mean, describing scenarios each method would be used in. Gibson then provides some real examples in order to clarify the technique.

Population research. --- Population --- Sampling (Statistics) --- Statistical methods.

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Professor Lesley Andres discusses probabilistic and non-probabilistic sampling, delineating the different types of each and describing their advantages and disadvantages.

Sampling (Statistics) --- Social sciences --- Statistical methods.

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Professor Kennon Copeland outlines sampling techniques for survey data collection. He highlights the pros and cons of different methodologies and gives examples of when to use certain approaches.

Sampling (Statistics) --- Social sciences --- Research --- Statistical methods.

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Jason Gibson finishes his explanation of estimating population means. He discusses how the confidence interval of the data is affected by the sample size of the study. He also provides an example problem to clarify this topic.

Population research. --- Population --- Sampling (Statistics) --- Analysis of means. --- Statistical methods.

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This course provides a clear understanding of the principles of delta-sigma converter operation - analog to digital and digital to analog. It introduces the best computer-aided analysis and design techniques available. The course uses simplified methods to illustrate complicated concepts such as spectral estimation and switched noise.

Broadband communication systems --- Data conversion. --- Sampling methods. --- Noise shaping. --- Delta-sigma modulation. --- Computer aided analysis.