HypothesisTesting`
HypothesisTesting`

NormalCI

NormalCI[μ,σ]

gives a confidence interval based on a normal distribution.

Details

  • To use NormalCI, you first need to load the Hypothesis Testing Package using Needs["HypothesisTesting`"].
  • NormalCI[μ,σ] gives a confidence interval {min,max} centered at μ based on a normal distribution with location parameter μ and scale parameter σ.
  • NormalCI is the confidence interval for a population mean based on a sample mean μ and standard error σ if the true population variance is known.
  • The following option can be given:
  • ConfidenceLevel0.95probability associated with a confidence interval

Examples

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Basic Examples  (1)

A 95% confidence interval based on the normal distribution:

Options  (1)

ConfidenceLevel  (1)

A 99% confidence interval:

Wolfram Research (2007), NormalCI, Wolfram Language function, https://reference.wolfram.com/language/HypothesisTesting/ref/NormalCI.html.

Text

Wolfram Research (2007), NormalCI, Wolfram Language function, https://reference.wolfram.com/language/HypothesisTesting/ref/NormalCI.html.

CMS

Wolfram Language. 2007. "NormalCI." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/HypothesisTesting/ref/NormalCI.html.

APA

Wolfram Language. (2007). NormalCI. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/HypothesisTesting/ref/NormalCI.html

BibTeX

@misc{reference.wolfram_2021_normalci, author="Wolfram Research", title="{NormalCI}", year="2007", howpublished="\url{https://reference.wolfram.com/language/HypothesisTesting/ref/NormalCI.html}", note=[Accessed: 24-May-2022 ]}

BibLaTeX

@online{reference.wolfram_2021_normalci, organization={Wolfram Research}, title={NormalCI}, year={2007}, url={https://reference.wolfram.com/language/HypothesisTesting/ref/NormalCI.html}, note=[Accessed: 24-May-2022 ]}