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Sampling and sampling Distribution | Sample | Sample Method | Bsusiness statistic | Part 1

Автор: Ermi E-learning

Загружено: 2024-11-05

Просмотров: 59319

Описание: Ermi E-learning #Sampling #sample #satistics
Sampling

In statistics, sampling is the process of selecting a subset of a population to analyze. This is done because it's often impractical or impossible to study the entire population. The goal is to draw conclusions about the population based on the information gathered from the sample.  

Types of Sampling:

Simple Random Sampling: Every member of the population has an equal chance of being selected.  
Stratified Sampling: The population is divided into subgroups (strata), and a random sample is taken from each stratum.  
Cluster Sampling: The population is divided into clusters, and a random sample of clusters is selected. All individuals within the selected clusters are included in the sample.  
Systematic Sampling: Individuals are selected from the population at regular intervals.  
Sampling Distribution

A sampling distribution is the probability distribution of a statistic obtained from a large number of samples drawn from a specific population. It shows how the statistic (like the mean, median, or standard deviation) varies across different samples.  

Why Sampling Distributions Matter:
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