Statistics How To

Statistics Definitions > Large Enough Sample Condition The Large Enough Sample Condition tests whether you have a large enough sample size compared to the population. A general rule of thumb for the Large Enough Sample Condition is that n ≥ 30, where n is your sample size. However, it depends on what you are trying … Read more

Descriptive Statistics: Definition & Charts and Graphs > What is a House Graph? A house graph is a graph on 5 nodes and 6 edges, which is illustrated above in two embeddings. The name of this graph derives from its resemblance to a schematic illustration of a house with a roof. A house graph consists … Read more

Statistics Definitions > Have you ever wondered how scientists and researchers make predictions about the future or look for patterns in data? The answer lies in statistical modeling. The definition of statistical modeling is to use of mathematical models and statistical assumptions to generate sample data and make predictions about the real world. In this … Read more

Statistics Definitions > Iterative methods are mathematical processes used to solve a wide range of problems. In essence, they use the data generated from a problem’s initial value and repetitively test that same data until the desired result is obtained. If you’ve ever done a math problem or worked on a computer algorithm, chances are … Read more

Regression Analysis > When most people think of regression analysis, they think of Ordinary Least Squares (OLS) regression. OLS regression is a great tool and has its place, but it’s not the be-all and end-all of regression analyses. In fact, for some situations, you’re better off using quantile regression. Quantile regression is a type of … Read more

Statistics Definitions > What is Simpson’s Paradox? What is Simpson’s Paradox?: Overview. Simpson’s Paradox is a classic example of how statistics can be wrong. The paradox is that averages can be silly and misleading. Sometimes they can be just plain baffling. An example of Simpson’s Paradox: Votes case in a recent election: 120,045. Number of … Read more

Inferential Statistics > In predictive modeling, boosting is an iterative ensemble method that starts out by applying a classification algorithm. The boosted classifications are then assessed, and a second round of model-fitting occurs in which the records classified incorrectly in the first round are given a higher weight in the second round. This boosting procedure … Read more

Statistics Definitions > Contents: What is a Normal Probability Plot? Make one by hand Excel instructions Normal probability plots in Minitab What is a Normal Probability Plot? When you have a set of data that you think might have a normal distribution (i.e., a bell curve), a graph of your data can help you decide … Read more

Randomized Clinical Trial (RCT): Simple Definition, Phases, and Types > In clinical research, an adaptive design is a type of experimental design that allows for modifications to the study based on data collected during the course of the study. Adaptive designs can make clinical trials more flexible and efficient by allowing for changes to be … Read more

Probability Distribution: List of Statistical Distributions > The hyperbolic distribution is characterized by the logarithm of the probability density function (PDF) being represented by a hyperbola. In layman’s terms, this means that the distribution decreases exponentially, though more slowly than the normal distribution. The hyperbolic distribution is suitable for modeling phenomena where numerically large values … Read more