|
Graphical SummaryConfidence Intervals for Mean, Standard deviation, and Median |
A confidence interval is an interval used to estimate a population parameter from sample data. The upper and lower bounds of the confidence intervals for m (mu), s (standard deviation), and the median are displayed in the graphical summary. In addition, the confidence intervals for m and the median are displayed graphically.
Confidence intervals are composed of two basic parts:
If a 95% confidence interval is selected, the method used to construct the interval has a probability of 0.95 of producing an interval containing the parameter of interest. In other words, you can be 95% confident that the true value of the parameter is within the interval. Thus, if one hundred 95% confidence intervals were constructed, you would expect around 95 of the intervals to contain the parameter.
Example Output |
95% Confidence Interval for Mean 2.0388 5.2339 95% Confidence Interval for Median 2.0000 4.0822 95% Confidence Interval for StDev 1.6615 4.1731
|
The confidence intervals are pictured in the lower left corner of the Graphical Summary. The corresponding statistics are located to the right of the graphs.
Interpretation |
|
The confidence intervals for the precipitation data indicate that you can be 95% confident that:
Minitab help | Stat | Graph | SixSigma | DOE | Glossary | Reliability | SPC,MSA,CPK | ||
|