Yes it can be as for example the density population can be compared using statistics.
A statistic based on a sample is an estimate of some population characteristic. However, samples will differ and so the statistic - which is based on the sample - will take different values. The sampling distribution gives an indication of ho accurate the sample statistic is to its population counterpart.
The sampling distribution for a statistic is the distribution of the statistic across all possible samples of that specific size which can be drawn from the population.
The answer depends on what character is used for the variable that is used for the population values.
inferential statistic
Nothing.
this is false... a parameter is a measure of a mean or mode, a measurable characteristic of a sample is called a statistic.
Not necessarily.For instance, one can calculate a so-called 't' statistic as a way of testing an hypothesis about one or two population means. Notice that in this case the statistic does not describe a population characteristic.
You could describe any measurable characteristic as a trait.
Density is a physical property; physical properties are measurable.
A statistic is a summary measure of some characteristic of a population. If you were to take repeated samples from the population you would not get the same statistic each time - it would vary. And the set of values you would get is its sampling distribution.
Traits
No. A statistic is a number describing a characteristic of a sample.
A statistic based on a sample is an estimate of some population characteristic. However, samples will differ and so the statistic - which is based on the sample - will take different values. The sampling distribution gives an indication of ho accurate the sample statistic is to its population counterpart.
A physical property is a measurable property.
No, this description does not represent a parameter; it refers to a statistic. A parameter is a value that describes a characteristic of an entire population, while a statistic describes a characteristic of a sample. In this case, the average salary of $57,000 pertains to a sample of 35 accountants out of the total population of 1,200 accountants in the company.
These are either measurable or inferred and contribute directly to a description of the organism(s) of interest.
A quantifiable characteristic of a given population is a measurable attribute that can be expressed numerically, such as age, income, height, or education level. These characteristics allow researchers to analyze and compare different populations or subgroups effectively. For example, the average income of a population can provide insights into economic conditions and social stratification. Quantifiable characteristics are essential for statistical analysis and decision-making in fields like sociology, economics, and public health.