interview 200 people in each city

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gender - both men and women should be interviewed;
age - the services a person uses largely depend on it;
income - it is important for a business to know how much a client is willing to spend on an expense item such as sports;
geography of residence - the network operates in cities with a population of over a million, so they need to be researched.
4. Set the sample structure
Find information on the audience distribution by the parameters you have chosen in open sources. In the fitness center example, this is the proportion of men and women in the largest cities in the country, as well as a breakdown by age and income. This data can be taken from the Rosstat website.

If there is no such data, then organize two stages of research. At the first stage, conduct a mass survey to clarify the proportions of the audience, at the second stage, ask questions on the topic being studied.

5. Calculate the sample size
If the research is qualitative, then it is not necessary to calculate the sample size. It is enough to repeat the audience structure in focus groups or in-depth interviews, even if there are few respondents.

In the case of quantitative research, be sure to determine the sample size - manually south africa phone number list or using an online calculator. For a project with a sports club, you can do it like this:

conduct research in 5 cities;
The total number of respondents will be 1,000 people, so the error in the data for the audience as a whole will be only 3%. In addition, it will be possible to study each city separately in detail - the error in this case will be about 7%.

Let's sum it up
A representative sample is a group of people whose main characteristics replicate the audience being studied. Therefore, the conclusions we obtain as a result of studying this sample can be extended to the entire general population - your target audience.

Good representativeness is needed when conducting research. For qualitative research, the sample should repeat the structure of the audience. For quantitative research, it should also be of sufficient size. In this case, statistically significant results can be obtained.

The sample size depends on three parameters: the permissible error, the level of reliability, and the size of the general population. The audience size can be omitted if desired, since it has little effect on the calculations.