Population and sample size

Population and sample size – the 3 advantages of using a larger sample size for our survey!

If you are conducting a survey for your business, you need to know what sample size you should use – after all, the determinant of the sample size can largely influence the number of people you will question, the number of people who will give answers, the questions about your niche market, and determine who in the entire population is interested in your business. 

If you find the sample size is too small, this can lead to skewed results – after all, if you ask 10 people the same question and 2 are unable to answer, this is only an 80% confidence level rate for our survey. On the other hand, if you ask 100 people the same question, and you see that 5 people are not able to do the sure correctly, this is still a 95% confidence level. See? Higher sample size can lead to an increase in confidence! 

Let’s read here to see some of the other benefits of using a larger sample size for your survey.

3 benefits of using a larger sample size for your survey 

The mean value

One of the main reasons why you should have a sample size is because of the mean value. You will find that larger sample sizes can influence the quality of the sample – this is the average of the sample answers or the mean. You will find that the larger the sample size, the more accurate the average is. If you ask 50 people the same question or you evaluate 50 people for statistics and geographical information, you will find that the mean is more accurate than if you did the same thing with 10 or 20 people. 

Furthermore, calculating the mean, or the average, of the data allows the researchers the chance to be able to identify who or what is the outlier in the question. The outlier is the person in the survey that is causing the results to be extremely skewed one way or the other.

Small samples can be dangerous

The next reason why you should use a larger sample size when it comes to conducting a survey is that small samples can be dangerous – it can include outliers that give a representation of the population as a whole. For example, if you use a small sample size of just 10 people and you find that 2 are outliers in their religious beliefs or their political choices, this will significantly change the entire survey’s outcome. Therefore, using a larger sample size will be able to provide a more accurate picture and identify outliers.

Margin of error

The last reason to use a silage sample size is that you can easily calculate the margin of error. When it comes to answering a question with a “yes” or “no” answer, you will find that calculating the percentage is much easier with a larger sample. Furthermore, if you need to find the standard deviation – or the spread of numbers within the data – with a large sample, it is easier. This means the margin of error is the smaller cause of a large sample size.

Conclusion

As you can see, using a large sample size is the best way that researchers can avoid outliers from skewing results, calculating the mean of the numbers, and identifying the margin of error.

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