Statistics Definitions > Coefficient Definition Contents: Coefficient Definition in Statistics Coefficient Definition in General Mathematics Coefficient Definition: Statistics A coefficient measures a certain property or characteristic of a data set, phenomenon, or process, given specified conditions. You’ll come across many…

# Ill-Conditioned

Statistics Definitions > A mathematical problem or series of equations is ill-conditioned if a small change in the independent variable (input) leads to a large change in the dependent variable (output). This can lead to computational problems. For example, if…

# TI 89 Calculus: Basic Functions in Simple Steps

Calculus > TI 89 Calculus TI 89 Calculus Contents (Basic Features): How to Graph a Function Intersection and Trace on the TI-89 Find Limits on the TI 89 Magnify Graphs With the TI-89 ZoomBox feature Create a Table of Function…

# Memoryless Property

Probability > The memoryless property (also called the forgetfulness property) means that a given probability distribution is independent of its history. Any time may be marked down as time zero. If a probability distribution has the memoryless property the likelihood…

# Nonlinearity: Definition, Examples

Statistics Definitions > A nonlinearity is a relation between data points that can’t be condensed into a neat linear graph. Nonlinearity vs. Linearity To understand nonlinearity we first need to define what it means for relationship between two variables to…

# Reduce Sample Size

Finding Sample Sizes > In many cases, finding an appropriate sample size results in a sample size that’s too large. You may not have the resources to conduct a large study, or ethical reasons may prevent testing on a large…

# Gauss-Newton Method: Brief Overview

Regression Analysis > What is the Gauss-Newton Method? The Gauss-Newton method is an iterative algorithm to solve nonlinear least squares problems. “Iterative” means it uses a series of calculations (based on guesses for x-values) to find the solution. It is…

# Conditional Expectation: Definition & Step by Step Example

Probability > You may want to read this other article first: What is Conditional Probability? The conditional expectation (also called the conditional mean or conditional expected value) is simply the mean, calculated after a set of prior conditions has happened.…

# Importance Sampling: Simple Definition

Sampling > Importance sampling is a way to predict the probability of a rare event. Along with Markov Chain Monte Carlo, it is the primary simulation tool for generating models of hard-to-define probability distributions. Rare events can usually be found…

# Experience Sampling: Definition, Examples

Sampling > Experience Sampling What is Experience Sampling? Experience sampling is a way to find out more about an experience while the event is actually happening. Participants stop what they are doing and take time to note their experiences over…