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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.

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What is a sample study?

sample is the population we make our study about them.


Why was it important to Mendel to study such a large sample of pea plants to determine the probability of inheritance?

Answer D- A higher sample size gives more accurate results- APEX LEARNING


When there is as likely a chance that any one member of the population will be selected for participation in a study the sample is considered?

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.


If you want to have a scientifically valid sample for a study you are doing?

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.


What limitations in the above study should be kept in mind when interpreting the results and deciding whether to use the clerical test and work sample?

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.

Related Questions

How do sampling methods effect the rigor of a study?

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.


Why was it important for mendel to study such a large sample of pea plant?

(Apex Learning) A higher sample size gives more accurate results.


What is a sentence with skewed in it?

Due to systematic error, my results are skewed.


What is a sample study?

sample is the population we make our study about them.


The best most reliable sampling technique is the one that has the smallest chance of unknowingly producing biased results in a study?

Convenience sample Systematic sample Simple random sample (SRS) Census


Why was it important for Mendel to study such a large sample pea plants to determine the probability of inheritance?

Answer D- A higher sample size gives more accurate results- APEX LEARNING


Why was it important to Mendel to study such a large sample of pea plants to determine the probability of inheritance?

Answer D- A higher sample size gives more accurate results- APEX LEARNING


Is the study experimental or observational A sample of fish is taken from a lake to measure the effect of pollution from a nearby factory on the fish?

observational


What is he conclusion from research conducted on a sample population to the population as a whole?

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.


Why is a voluntary response sample not suitable for a statistical study?

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.


Why did Mendel study such a large sample of pea plants to determine the probability of inheritance?

The more samples you use, the closer your results will match probability.


When there is as likely a chance that any one member of the population will be selected for participation in a study the sample is considered?

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.