In my analysis I will be analyzing the variable population from the data set protein_supply_quantity. This data set contains data pertaining to protein from 170 different nations. The population variable is representative of each nations total population. the smallest of these countries is a mere fifty four thousand while the largest is over one and a half billion.
| LCL | PopMean | UCL |
|---|---|---|
| 21010486 | 44523641 | 68036797 |
| LCLB | meanB | UCLB | |
|---|---|---|---|
| 2.5% | 24614545 | 44124690 | 70771970 |
#Confidence Interval Comparison. The most obvious difference between the two confidence intervals is that the bootstrap interval is right tailed while the standard confidence interval is symmetric. This is a result of the right tailed nature of the underlying population. For both confidence intervals we can Interpret them as stating that we can be 95% confident that the true population mean for the variable population is somewhere between the lower and upper limits.