We say that a point estimator is unbiased if which of the following is true? Its sampling distribution is normal. The standard deviation of its sampling distribution decreases as the sample size increases. Its value is always equal to the parameter it estimates. Its sampling distribution is centered exactly at the parameter it estimates.

When the sampling distribution of a statistic centers exactly around the parameter it estimates we can say that the statistic is which of the following? Unbiased Equal to the parameter Normally distributed Statistically significant

First covered in Section 3.1, the concept of a 'sampling distribution' is really important in Statistics. If the centre of a sampling distribution is located at the parameter it is estimating, then we call that sampling distribution __________.Question 9Select one:a.random & unbiasedb.biasedc.minimum variance

An unbiased estimator of a population parameter is an estimator whose expected value is equal to the population parameter to be estimated.

If an estimator is said to be unbiased, then the population mean equals the sample mean.

Regarding point estimates and confidence interval estimates, which one of the following statements is FALSE?Group of answer choicesFor both estimates we assume that the observations are independent.For both estimates we assume that the population distribution of the variable (X) is approximately Normal.An indication of the error due to sampling is only provided for a confidence interval estimate.For both estimates, a larger sample size means a more precise estimateBoth estimates are calculated using sample data