# 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 “**population**”**in**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