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What is occurs when some population units are excluded from the process of selecting the sample?
sampling errorS OCCURES WHEN SOME POPULATION UNITS ARE EXCLUDED FOR SAMPLING
What is the difference between participant selection and participant allocation?
Participant Selection:The process of selecting participants for research (also called sampling). The participants who are selected are used in the research are said to form the sample.Participant Allocation:After participants have been selected, they have to be allocated, or assigned to a group that may be used in the research study.
What is the difference between probability sampling and simple random sampling?
Simple random sampling = A process of selecting subjects in such a way that each member of the population has an equal likelihood of being selected; you can throw all your subjects into a hat and draw them out one by one, or assign each member a number and choose every fifth number to be a participant.Probability sampling=A sampling procedure in which the probability that each element of the population will be included in the sample can be specified; you have a specific number of subjects and you know that they have a 50/50 chance of being chosen, or because of an anomaly, they may only have a 20/100 chance of being chosen for the experiment.*Your teacher is being tricky however, because there are 4 basic types of Probability sampling and simple random sampling is one of them. Also are stratified, systematic and cluster sampling. All four fall under the general title of Probability Sampling (P.S.)!! P.S. is kinda like the category and the 4 types are just different ways to do the sample, each has their own "little differences" in how the data is collected and assigned.
What You decide you want your sample to be representative of the population. Which sampling process would provide the most representative sample?
A simple random sample.
Difference between Multicollinearity and Autocorrelation?
Multicolinearity shows the relationship of two or more variables in a multi-regression model. Auto-correlation shows the corellation between values of a process at different point in times.
