Either.
What is significant and insignificant of a numerical statistic is dependent on the sample/population ratio.
population is the number of citizens living in a defined geographical area. Sample is a number taken from the population being the sample to research for a topic about the populations' behavior or habit, etc.
The popo ulation in the people/items you have collected data from. if you are sampling, the its the population of which you select your sample from
The sample mean helps researchers maintain the scope of their research. If the sample mean is too far from the mean of the population then the numbers may be skewed.
Assuming that the population was carefully defined, the sample population was carefully and correctly chosen, and that there were significant results, then the implication is that the results of the study, within the confidence limits indicated, hold true for the population at large.
A parameter is a numerical measurement of a population; a statistic is a numerical measurement of a sample.
Either.
.representative
A biased sample is a sample that is not random. A biased sample will skew the research because the sample does not represent the population.
A biased sample is a sample that is not random. A biased sample will skew the research because the sample does not represent the population.
The sample must have a high probability of representing the population.
What is significant and insignificant of a numerical statistic is dependent on the sample/population ratio.
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.
How representative is the sample relative to the target population.
Research surveys are typically conducted by designing a set of questions related to the research topic. These questions are then distributed to a sample population either through online platforms, email, or in-person interviews. Responses are collected and analyzed to draw conclusions from the data.
population is the number of citizens living in a defined geographical area. Sample is a number taken from the population being the sample to research for a topic about the populations' behavior or habit, etc.