# Characteristics of a random sample

## What is the most important characteristic of a simple random sample?

Regardless of what form your data are in, the important characteristic of simple random sampling is that

**the person doing the selecting has NO CONTROL over which households are selected**. The selection is entirely random, and the selection of each household is not dependent on the selection of other households.## What are 2 requirements for a random sample?

**Each individual in the population has an equal chance of being selected**. 2. If more than one individual is to be selected for the sample, there must beconstant probability for each and every selection.

## What is the main characteristic of a random sample quizlet?

What is the basic requirement for random sampling?

**Each individual in the population has the same probability of being sampled**.## What is the basic requirement of random sampling?

A simple random sample is a randomly selected subset of a population. In this sampling method,

**each member of the population has an exactly equal chance of being selected**.## What are the 4 types of random sampling?

There are four primary, random (probability) sampling methods â€“

**simple random sampling, systematic sampling, stratified sampling, and cluster sampling**.## What are the characteristics of random variable?

A random variable is

**a variable whose value is unknown or a function that assigns values to each of an experiment’s outcomes**. A random variable can be either discrete (having specific values) or continuous (any value in a continuous range).## Which best describes a random sample?

Answer and Explanation:

**Every alternative which has the equal outcome to be selected**, then that selection is known as random sample. It is also known as probability sample which allows the choice of whole population in a random manner.## What characterizes a random distribution?

A random distribution is

**a set of random numbers that follow a certain probability density function**. Probability Density Function: A function that describes a continuous probability. i.e. probability of all values in an array.## How do you characterize a random process?

The most common ways of characterizing random processes is

**via the evolution with time of the probability mass/density function, an autocorrelation function, and a power spectral density function**.## What are the 3 characteristics of any distribution of data?

Three characteristics of distributions. There are 3 characteristics used that completely describe a distribution:

**shape, central tendency, and variability**.## What is the main characteristic of a discrete random variable?

A discrete probability distribution function has two characteristics:

**Each probability is between zero and one, inclusive**. The sum of the probabilities is one. The expected value is often referred to as the “long-term” average or mean.## What is the main characteristic of a continuous random variable?

A continuous random variable has two main characteristics:

**the set of its possible values is uncountable**; we compute the probability that its value will belong to a given interval by integrating a function called probability density function.## What is the unique characteristic of a discrete and continuous random variable?

**A discrete random variable has a finite number of possible values**. A continuous random variable could have any value (usually within a certain range).

## What is the difference between continuous and discrete characteristics?

Discrete data is the type of data that has clear spaces between values. Continuous data is data that falls in a constant sequence.

**Discrete data is countable while continuous â€” measurable**. To accurately represent discrete data, the bar graph is used.