A parameter describes a population. A statistic describes a sample.
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 parameter is a numerical measurement of a population; a statistic is a numerical measurement of a sample.
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!)
Population Parameter
parameter
Either.
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.
Parameter
A parameter is a numerical measurement of a population; a statistic is a numerical measurement of a sample.
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 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!)
Yes.
A point estimate is a single value (statistic) used to estimate a population value (parameter)true apex
Population Parameter
sample statistic
parameter
A parameter is an attribute that refers to the entire population. (For example, the mean price of all motor vehicles in a city). A sample is collected from this population of all motor vehicles in that city to compute a statistic (here, the statistic is the average price of the vehicles in the sample) which is representative of the true price.