Online Resource
Wolfram Research, Inc.
;
2021
In:
The Mathematica Journal Vol. 23 ( 2021)
In:
The Mathematica Journal, Wolfram Research, Inc., Vol. 23 ( 2021)
Abstract:
This article is intended to help students understand the concept of a coverage probability involving confidence intervals. Mathematica is used as a language for describing an algorithm to compute the coverage probability for a simple confidence interval based on the binomial distribution. Then, higher-level functions are used to compute probabilities of expressions in order to obtain coverage probabilities. Several examples are presented: two confidence intervals for a population proportion based on the binomial distribution, an asymptotic confidence interval for the mean of the Poisson distribution, and an asymptotic confidence interval for a population proportion based on the negative binomial distribution.
Type of Medium:
Online Resource
ISSN:
1097-1610
Language:
Unknown
Publisher:
Wolfram Research, Inc.
Publication Date:
2021
detail.hit.zdb_id:
1468371-4
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