Recently, there has been increasing interest in making causal inference when interference is possible. In the presence of interference, treatment may have several types of effects. In this article, we ...
Randomly selected samples from a larger population prevent bias in statistical procedures while avoiding the hassle of dealing with the entire dataset. If you have a list of entries to pick from in ...
In Hypothesis Testing 1, you were introduced to the ideas of hypothesis testing in the context of deciding whether a coin was fair or biased in favor of heads. In this section hypothesis testing ...
This article considers optimal sample allocation between the treatment and control condition in multilevel designs when the costs per sampling unit vary due to treatment assignment. Optimal unequal ...
This study looks at how national public opinion polling in the United States changed from 2000 to 2022. It focuses on two aspects: the sample source(s) – that is, where the survey takers came from – ...
Survey researchers increasingly recognize that a single survey of the general public can rarely represent the views of small groups of Americans. Such surveys frequently have too few interviews with ...
When auditing a company, auditors use a combination of professional judgment and statistical sampling methods to estimate account balances. Statistical sampling is an efficient way to design samples, ...
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