The Importance of Relationships

In statistics, confidence intervals are the best way of understanding the role of sampling error in the percentages and averages, which are pervasive in user research. There are three things, which impact the width of a confidence interval, which are; confidence level, variability and sample size. Confidence level is the 95% portion of the 95% confidence interval. Variability is measured by the standard deviation. If the samples have more variability, then they generate wider confidence intervals. Sample size also plays an important role in confidence interval calculation. Smaller sample sizes generate the wider confidence intervals. In this calculation, there is an inverse square root relationship between sample sizes and confidence intervals.