# Sampling

## Definition of Sampling

Sampling: Sampling is the process of selecting a subset of a population for study. This can be done randomly or using some other method such as stratified sampling.

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# Sampling

## Definition of Sampling

*Related*

## Similar Posts

### Quartile

### Streaming Data

### Type I Error

### Facet

### Time-Series

Sampling: Sampling is the process of selecting a subset of a population for study. This can be done randomly or using some other method such as stratified sampling.

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Definition of Quartile Quartile: A quartile is a statistic that divides a data set into four equal parts. The first quartile is the lowest 25% of the data, the second quartile is the lower 50% of the data, the third quartile is the upper 50% of the data, and the fourth quartile is the highest…

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Definition of Streaming Data Streaming data: Streaming data is a type of data that is continuously updated. It can be used to track real-time changes in data, such as stock prices or website traffic.

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Definition of Type I Error Type I error: A type I error, also known as a false positive error, is the incorrect rejection of a true null hypothesis.

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Definition of Facet Facet: A facet is a property or attribute of an object that can be measured or quantified. In data science, facets are often used to group and filter data sets based on specific criteria. For example, a data set might be grouped by country of origin, age group, or income level. How…

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Definition of Time-Series Time-Series: A time-series is a sequence of data points, usually measured at successive points in time. Time-series analysis is the process of examining these data points in order to identify and understand trends and patterns. Time-series data can be used to predict future events, track performance over time, or measure the impact…