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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.
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.
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.
Topics typically covered in STAT 506 are basic methods of sampling and estimation including: Simple random sampling with associated estimation and confidence interval methods, Selecting sample sizes, Estimating proportions, Unequal probability samping, Ratio and regression estimation, Stratified sampling, Cluster and systematic sampling,
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 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 .
