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Sagot :
The point estimate of the population is 0.415 round to the nearest thousandth as needed the margin error is 0.189.
In statistics, for point estimation, an unknown population parameter (e.g. population mean). More formally, it is applying a point estimator to data to obtain a point estimate.
Point estimation can be contrasted with interval estimation. Such interval estimates are usually confidence intervals for frequentist inference and confidence intervals for Bayesian inference. More generally, point estimators can be contrasted with set estimators. An example is the confidence rate or confidence rate. Point estimators can also be contrasted with distribution estimators. Examples include confidence distributions, randomized estimators, and Bayesian posterior distributions.
Based on the question,
The confidence interval of Lower bound is 0.226.
The confidence interval of Upper bound is 0.604.
X - E = 0.226. --------------------------- (1)
X + E = 0.604 ---------------------------(2)
Adding equation (1) and (2),
2X = 0.83
⇒ X = 0.83/2
⇒ X = 0.415
Putting X = 0.415 in equation (1),
0.415 + E = 0.604
⇒ E = 0.604 - 0.415
⇒ E = 0.189
Thus, the point estimate of the population is 0.415 round to the nearest thousandth as needed the margin error is 0.189.
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