Confidence Interval Calculation

Confidence probability shows how likely it is for a random answer to fall within the confidence interval. For simplicity, it can be understood as sample reliability, confidence. As a rule, 95%. Confidence interval can be understood as an error margin, setting the range of the distribution curve on both sides of the chosen point where answers may fall. The applied formula assumes that for the given question there are two possible answers "yes" or "no". The more equal the two answer options are, the closer the proportion is to 50/50, the larger the sample needs to be taken. Therefore, if this ratio is not known in advance (and this is usually the case before the start of the research), then 50 should be set % (by default).