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How representative is the sample relative to the target population.
Haphazard Selection is procedure of selecting a sample of individuals to study by taking whoever is available or happens to be first on a list.
Sample design and research design are two closely related concepts in research methodology, and the two are often interdependent. Research design refers to the overall plan or strategy for conducting research, including the selection of research methods, data collection procedures, and data analysis techniques. The research design is typically determined by the research question and the purpose of the study. Sample design, on the other hand, refers to the process of selecting a sample from a larger population for research or data analysis. The sample is a subset of the population that is selected to represent the population's characteristics accurately. The sample design is determined by the research question, the research design, and the population's characteristics. The relationship between sample design and research design is that the sample design is a critical component of the research design. The research design determines the overall approach to the study, while the sample design determines the specific subset of the population that will be studied. The research design guides the selection of research methods, data collection procedures, and data analysis techniques, while the sample design determines the size of the sample, the sampling method, and the criteria for inclusion in the sample. The sample design must be aligned with the research design to ensure that the sample represents the population's characteristics accurately and that the results are valid and reliable. Therefore, sample design and research design are interdependent and must be carefully considered when conducting research to ensure that the results are meaningful and accurate.
The answer is Random Sample
There are many more types of bias than just three! You can have bias when you specify and select your study sample (such as selecting the wrong sample size or basing your sample on popularity), when you actually perform the experiment (such as contamination or using a bogus control), when you measure the outcomes (such as personal expectations or instrument error) and when you analyze and interpret your data (such as mistaken identity or mistaken significance). Each of these areas has several types of bias associated with it. Here is a good WikiPedia article that lists all of the different types of bias for you.
a process of systematically selecting representation elements of a population
sampling errorS OCCURES WHEN SOME POPULATION UNITS ARE EXCLUDED FOR SAMPLING
sample is the population we make our study about them.
straw
How representative is the sample relative to the target population.
random sample
The standard error of the underlying distribution, the method of selecting the sample from which the mean is derived, the size of the sample.
sample of a Promissory Note and describe its features. Also describe its usage and the involvement of the parties concerned
A parameter describes a population. A statistic describes a sample.
Selection in sociology refers to the process by which individuals or groups are chosen for inclusion in a study or analysis based on specific criteria. It involves selecting a representative sample to study a particular social phenomenon or behavior, ensuring that the chosen sample is reflective of the larger population being studied. This process helps researchers generalize their findings and draw meaningful conclusions about society as a whole.
A probability sample is one in which each member of the population has the same probability of being included. An alternative and equivalent definition is that it is a sample such that the probability of selecting that particular sample is the same for all samples of that size which could be drawn from the population.
stratified sample