What is the population parameter of interest?

population parameter. a quantity or statistical measure that, for a given population, is fixed and that is used as the value of a variable in some general distribution or frequency function to make it descriptive of that population: The mean and variance of a population are population parameters.
A.

What is an example of a population parameter?

A statistic is a characteristic of a sample. Inferential statistics enables you to make an educated guess about a population parameter based on a statistic computed from a sample randomly drawn from that population (see Figure 1). This example is one of statistical inference.
  • What is the difference between a population and a sample?

    In statistics the term “population” takes on a slightly different meaning. The “populationin statistics includes all members of a defined group that we are studying or collecting information on for data driven decisions. A part of the population is called a sample.
  • What is the statistic of a sample?

    In statistics and quantitative research methodology, a data sample is a set of data collected and/or selected from a statistical population by a defined procedure. The elements of a sample are known as sample points, sampling units or observations. The sample usually represents a subset of manageable size.
  • What is a parameter in programming?

    In computer programming, a parameter (often called formal parameter or formal argument) is a special kind of variable, used in a subroutine to refer to one of the pieces of data provided as input to the subroutine.
B.

What is the variable of interest in statistics?

Definitions. A variable is any item or quantity that can vary or take on different values. The variables of interest in a statistical study are the items or quantities that the study seeks to measure. The explanatory variable may explain or cause the effect.
  • What is a discrete variable?

    Discrete Variable. Variables that can only take on a finite number of values are called "discrete variables." All qualitative variables are discrete. Some quantitative variables are discrete, such as performance rated as 1,2,3,4, or 5, or temperature rounded to the nearest degree.
  • What is the population of interest?

    In this example, the "population of interest" is the deer in this forest. You randomly observe deer (samples from this population) and use the samples to make an inference about the population. They are a subset of the general population.
  • What are confounding variables and what problems can they cause?

    Confounding variables are any other variable that also has an effect on your dependent variable. They are like extra independent variables that are having a hidden effect on your dependent variables. Confounding variables can cause two major problems: Increase variance.

Updated: 6th December 2019

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