17
May
How To Interpret A Confidence Interval. The confidence interval is expressed as a percentage the most frequently quoted percentages are 90 95 and 99. Our best estimate of the difference the point estimate is 17 units. A confidence interval provides an estimate of the population parameter and the accompanying confidence level indicates the proportion of intervals that will cover the parameter. A 95 confidence interval CI of the mean is a range with an upper and lower number calculated from a sample.
The correct interpretation of a 95 confidence interval is that we are 95 confident that the population parameter is between X and X. A confidence interval is a range that indicates the uncertainity of a population parameter estimate. Our 90 confidence interval CI shows that the frequency of EZH2 mutations in the lymphoma patient population is between 20 and 30. Therefore the confidence interval is 044 296 Interpretation. A 95 confidence interval has a 095 probability of containing the population mean. With 95 confidence the difference in mean systolic blood pressures between men and women is between 044 and 296 units.
Therefore the confidence interval is 044 296 Interpretation.
Say someone said the following statement. 95 of the population distribution is contained in the confidence interval. A confidence interval for a mean gives us a range of plausible values for the population mean. The larger a 90 confidence interval for a particular estimate the more caution is required when using the estimate. OR 105 95 CI. Confidence interval only comes into play when you try to extrapolate your study results to other situations like to the population overall.