It means that the results of the study cannot be claimed to hold for the entire population from which the sample was drawn. The researchers can only claim that their results hold for the individuals selected into their sample.
sample is the population we make our study about them.
Answer D- A higher sample size gives more accurate results- APEX LEARNING
When there is an equal chance for each member of the population to be selected for participation in a study, the sample is considered to be a random sample. This method helps ensure that the sample is representative of the population, reducing bias and allowing for more generalizable results. Random sampling is a fundamental principle in statistical research techniques.
To achieve a scientifically valid sample for your study, ensure that your sample is representative of the population you are investigating. This can be done through random sampling methods, which help eliminate bias and improve generalizability. Additionally, determine an appropriate sample size using statistical power analysis to ensure that your findings are reliable. Finally, consider stratifying your sample to account for key demographic variables that may influence the results.
When interpreting the results of the study, it's important to consider potential sample size limitations, as a small or non-representative sample may skew findings. Additionally, the study may not account for external factors influencing performance on the clerical test and work sample, such as varying levels of prior experience or motivation among participants. Lastly, the validity and reliability of the tests themselves should be scrutinized to ensure they accurately measure the intended skills and competencies.
A sample needs to be random and if not a simple random sample of the whole population then a stratified random sample (there are different ways to stratify). Otherwise the study is a waste of time.
(Apex Learning) A higher sample size gives more accurate results.
Due to systematic error, my results are skewed.
sample is the population we make our study about them.
Convenience sample Systematic sample Simple random sample (SRS) Census
Answer D- A higher sample size gives more accurate results- APEX LEARNING
Answer D- A higher sample size gives more accurate results- APEX LEARNING
observational
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.
Voluntary response sample is not generally suitable for statistical study because its results are not likely to be the representative of the entire population under study.Such results could be biased as those who made effort to respond voluntary have strong feelings or opinions whether favorable or unfavorable regarding the subject of consideration.
The more samples you use, the closer your results will match probability.
When there is an equal chance for each member of the population to be selected for participation in a study, the sample is considered to be a random sample. This method helps ensure that the sample is representative of the population, reducing bias and allowing for more generalizable results. Random sampling is a fundamental principle in statistical research techniques.