# Statistics - Population Parameter

Population parameter must not be confound with a Statistical Parameter

In statistics, all actual numbers about a population are called a parameter. They are never exactly known and are estimated through a statistic as it deals with a sample.

A statistician would not say that the parameter is a specific number, but would most likely report something like the following: “I am fairly confident that the true number is actually between … and ….”

A parameter is:

• a statistical measure or number that summarizes the entire population.
• a numerical measure that describes a characteristic of a population

A parameter describes the population whereas a statistic describes a sample

## Documentation / Reference

Discover More
(Mathematics|Statistics) - Statistical Parameter

population parameter A parameter is a numerical characteristic, feature, or measurable factor that help in defining a particular model. Unlike variables, parameters are not listed among the arguments...
Machine Learning - (Overfitting|Overtraining|Robust|Generalization) (Underfitting)

A learning algorithm is said to overfit if it is: more accurate in fitting known data (ie training data) (hindsight) but less accurate in predicting new data (ie test data) (foresight) Ie the model...
Statistics

is a scientific discipline devoted to the study of data. is the art of extracting information from data. From Data to Information to Knowledge. No learning. lies lies, damned lies, and statistics....
Statistics - (Degree|Level) of confidence

Degree of confidence represents the probability that the confidence interval captures the true population parameter. With a degree of confidence of 95%, you have 95% confidence that the true population...
Statistics - (Estimation|Approximation)

In statistics, it's always impossible to do experimentation on the entire population. Sample of this population are then used to estimate characteristic of this population (ie the statistics). A sample...
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 - Confidence Interval

The definition of a confidence interval says that under repeated experiments 95% of the time this confidence interval will contain the true statistic (mean, ...). if we started the whole experiment over...
Statistics - Probability (of an event) / Likelihood

The probability of an event is the subjective chance that it will happen. The laws of probability are heavily build with therandom notion. A probability is a non-negative number between 0 and 100%. ...
Statistics - Standard Error (SE)

Standard Error is a measure of precision for a statistic (slope, intercept or custom calculations). Standard error is an estimate of amount of sampling error as we typically don’t know the population...
Statistics - Statistic

In general, each statistic is an estimate of a parameter, whose value is not known exactly. Every number found using a sample is just an (approximation|estimation) of a parameter (the truth). in descriptive...