Sampling Theory Homework Help
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Sampling theory deals with statistical data and its interpretations. Sampling essentially contemplates the very technique of collecting the data at the first place and converting the same data to reach a valid and conclusive point. For better understanding of concepts, follow Sampling Theory Homework Help. Sampling theory includes the methods that are taken to collect the samples from a huge pool of population. It also involves the interpretation strategies that follow the methods. For more information on the topic, go through Sampling Theory Homework Help.
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Different Sampling Theories
1. Statistical sampling: To facilitate and increase the speed of collecting data, statistical sampling is used. It also kind of reduces the process of data collection. There are many stages in this. It has many wings like the survey sampling and acceptance sampling. For detailed account on the subject, go through Sampling Theory Homework Help. Acceptance sampling is used to decide whether or not the quality of a product or batch of products up to the expected level or not. On the contrary survey sampling is widely used for medical research. For more insight into the topic, go through Sampling Theory Homework Help.
2. Nyquist Shannon theorem: This is widely in use for signal processing. It serves as the connecting road between the analog signals and digital signals. This provides the sample rate specification that is sufficient to collect samples with required information. For more knowledge on the topic, refer and study Sampling Theory Homework Help.
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