# Statistics - Sample size (N)

The size of the sample. Ie the count of case.

Sample size drives and determine sampling error, influence the t-value and the p-value.

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Distribution - (Mean|Average) (M| | )

The average is a measure of center that statisticians call the mean. To calculate the mean, you add all numbers and divide the total by the number of numbers (N). The mean is not resistant. The...
Function - count (size of|length)

Counting occurs with cardinal numbers. Counting is a way to describe the size of a collection. Ie
Machine Learning - K-Nearest Neighbors (KNN) algorithm - Instance based learning

“Nearest‐neighbor” learning is also known as “Instance‐based” learning. K-Nearest Neighbors, or KNN, is a family of simple: classification and regression algorithms based on Similarity...
Statistical Learning - Simple Linear Discriminant Analysis (LDA)

Linear Discriminant Analysis with only one variable (p = 1). For a generalization, see The variance from the distribution of the value when is the same in each of the classes k. It is an important...
Statistics - (Data Set|Sample)

Because of the difficulties of obtaining information all units in a population, it is common to use a small,random and representative subset of the population called a sample. A sample is a smaller,...
Statistics - (Data|Data Set) (Summary|Description) - Descriptive Statistics

Summary are a single value summarizing a array of data. They are: selected or calculated through reduction operations. They are an important element of descriptive analysis One of the most important...
Statistics - (Student's) t-test (Mean Comparison)

The t-test is a test that compares means. NHST can be conducted yielding to a p-value Effect Size can be calculated like in multiple regression. Confidence Interval around the mean can also be...
Statistics - (Variance|Dispersion|Mean Square) (MS)

The variance shows how widespread the individuals are from the average. The variance is how much that the estimate varies around its average. It's a measure of consistency. A very large variance means...
Statistics - (t-value|t-statistic)

The (t-value|t-statistic) is a test statistic. In NHST, it is essentially a ratio of what we observed relative to what we would expect just due to chance. Each t-value has corresponding p-value depending...
Statistics - Central limit theorem (CLT)

The Central_limit_theoremcentral limit theorem (CLT) is a probability theorem (unofficial sovereign) It establishes that when: random variables (independent) (estimate of a random process) are added...