HypothesisTesting`
HypothesisTesting`

# NormalPValue

NormalPValue[x]

gives the cumulative density beyond x for a normal distribution with zero mean and unit variance.

# Details and Options

• To use NormalPValue, you first need to load the Hypothesis Testing Package using Needs["HypothesisTesting`"].
• The one-sided value is CDF[NormalDistribution[0,1],x] for x<0, and 1-CDF[NormalDistribution[0,1],x] for x0.
• The two-sided value is twice the one-sided value.
• The following option can be given:
•  TwoSided False whether to perform a two-sided test

# Examples

open allclose all

The value for :

## Options(1)

### TwoSided(1)

A twosided value:

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

#### Text

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

#### CMS

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

#### APA

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

#### BibTeX

@misc{reference.wolfram_2024_normalpvalue, author="Wolfram Research", title="{NormalPValue}", year="2007", howpublished="\url{https://reference.wolfram.com/language/HypothesisTesting/ref/NormalPValue.html}", note=[Accessed: 15-June-2024 ]}

#### BibLaTeX

@online{reference.wolfram_2024_normalpvalue, organization={Wolfram Research}, title={NormalPValue}, year={2007}, url={https://reference.wolfram.com/language/HypothesisTesting/ref/NormalPValue.html}, note=[Accessed: 15-June-2024 ]}