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While an analog signal is continuous in both time and amplitude, a digital signal is discrete in both time and amplitude. To convert a signal from continuous time to discrete time, a process called sampling is used. The value of the signal is measured at certain intervals in time.
Random sampling methods. q Simple Random Sampling: Every member of the population is equally likely to be selected) q Systematic Sampling: Simple Random Sampling in an ordered systematic way, e.g. every 100th name in the yellow pages.
Welcome to the course notes for STAT 506: Sampling Theory and Methods. These notes are designed and developed by Penn State’s Department of Statistics and offered as open educational resources.
Sampling Methods. Probability Sampling: Each data unit in the population has a known likelihood of being included in the sample. Non-probability Sampling: Does not involve random selection; inclusion of an item is based on convenience.
The aim of this course is to cover sampling design and analysis methods that would be useful for research and management in many field. A well designed sampling procedure ensures that we can summarize and analyze data with a minimum of assumptions and complications.
Using concepts from probability, this course introduces sampling from ˝nite populations and equips learners with an understanding of key fundamentals of sampling including sampling frame, design, error and inference.
Sampling theory provides the tools and techniques for data collection keeping in mind the objectives to be fulfilled and nature of population. These are two ways of obtaining the information. Sample surveys. Complete enumeration or census .
