point estimate
A point estimate is a single value (statistic) used to estimate a population value (parameter)true apex
B. The sampling error
Either.
A statistic and a sample have a relationship similar to that between a population and a parameter. A sample is a subset of a population, while a statistic is a numerical value calculated from that sample, used to estimate the corresponding population parameter. Essentially, a statistic provides insight into the characteristics of a larger group based on the analysis of a smaller, representative portion.
Parameter
A point estimate is a single value (statistic) used to estimate a population value (parameter)true apex
A point estimate is a single value used to estimate a population parameter, such as the sample mean used to estimate the population mean. Confidence intervals can also be used to provide a range within which the population parameter is likely to lie.
mabye, mabye not
A statistical estimate of the population parameter.
Well, isn't that just a happy little mistake! When you survey the entire population, you're looking at the actual parameter, not an estimate. A point estimate comes from sampling just a portion of the population, giving you an idea of what the parameter might be. Just remember, there are no mistakes in statistics, only happy little accidents!
The relations depend on what measures. The sample mean is an unbiased estimate for the population mean, with maximum likelihood. The sample maximum is a lower bound for the population maximum.
A point estimate of a population parameter is a single value of a statistic. For example, the sample mean x is a point estimate of the population mean μ. Similarly, the sample proportion p is a point estimate of the population proportion P.
B. The sampling error
Either.
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)
A statistic and a sample have a relationship similar to that between a population and a parameter. A sample is a subset of a population, while a statistic is a numerical value calculated from that sample, used to estimate the corresponding population parameter. Essentially, a statistic provides insight into the characteristics of a larger group based on the analysis of a smaller, representative portion.
A parameter is a number describing something about a whole population. eg population mean or mode. A statistic is something that describes a sample (eg sample mean)and is used as an estimator for a population parameter. (because samples should represent populations!)