So how can you tell when the question is meant for answering a sample question and analysis? You can look at the answer key. The key should state that the question is sample-based.
Other ways to spot the sample-based question include noticing a question asking about the median, range or standard deviation. Also, such questions may ask about the percentage of answer given and the percentiles chosen for the sample data.
In addition, the wording of the question needs to indicate that the sample is not representative of the population. So keep in mind that sample questions are not being asked from individuals of the sample population. Therefore, the statistics use in these samples should not be the same as in the normal population.
If the question asks you to select your sample data, the sample should be limited to a selected number of respondents, rather than randomly selected from the entire population. This way, the sample data is much more reliable.
Before answering a question, make sure that you are familiar with the question itself. If it asks for specific answers that you don’t know, try to avoid answering the question.
Before asking the sample-based question, make sure that you understand how to answer it and why statistical analysis is necessary. For example, do you want to test the effects of a new product on sales or consider the number of customer complaints as relevant? It is important to know how the question is related to the analytical and research process.
Ask yourself if the statistics that you are using would be appropriate for the sample-based question and analysis. As you answer the question, ensure that you put into practice the strategies of a good researcher. Furthermore, ensure that you check your assumptions and code.
If you need help in answering sample-based statistical questions and analysis, contact the respondents. You can talk to them about their answers and other issues about the sample.
You can also ask the respondents for the latest information on any study that is being conducted and see whether there are any changes. With the recent developments in statistical analysis, such changes will not take too long.
If the sample-based question and analysis ask for a personal history, make sure that you understand the terms used, such as family history and marital history. If the subject of the question is the life-history of animals, then make sure that you study animal behaviour and reproduction.
Questions about the samples that will be used for analysis should be answered according to the need of the research project. Make sure that you do not ignore the questions.