• Confidence interval displays the probability that the parameter will be between a pair of values near the mean value.

  • Confidence intervals measure the degree of uncertainty or confidence in the sampling method.
  • They are also used in hypothesis testing and regression analysis.
  • Statisticians often use p-values in combination with confidence intervals to estimate statistical significance.
  • Most often they are built using 95% or 99% confidence levels.