Struct SignificanceLevel 

pub struct SignificanceLevel<T>(/* private fields */);

The significance level is expressed as a fraction.

It represents the probability of a type I error, which corresponds to rejection of a null hypothesis which is in fact true.

Implementations

impl<T: Float + FromPrimitive + ToPrimitive> SignificanceLevel<T>

pub fn into_inner(self) -> T

Returns the wrapped value as a fraction

pub fn fractional(level: T) -> Result<Self, ConfidenceError>

Create a new significance value from a fractional level

Errors

• If the provided value is outside [0, 1], or is NaN

pub fn percentage(level: T) -> Result<Self, ConfidenceError>

Create a new significance value from a percentage level

Errors

• If the provided value is outside [0, 100], or is NaN

pub fn zero_point_one_percent() -> Self

Create a new significance value representing a significance level of 0.1%

pub fn zero_point_five_percent() -> Self

Create a new significance value representing a significance level of 0.5%

pub fn one_percent() -> Self

Create a new significance value representing a significance level of 1.0%

pub fn two_point_five_percent() -> Self

Create a new significance value representing a significance level of 2.5%

pub fn five_percent() -> Self

Create a new significance value representing a significance level of 5.0%

pub fn ten_percent() -> Self

Create a new significance value representing a significance level of 10.0%

pub fn probability(&self) -> T

Return the numerical value associated with the significance level

pub fn num_standard_deviations(&self) -> Result<T, NormalError>

The number of standard deviations from the distribution center represented by the significance level.

This is found by calculating the inverse cumululative distribution function at the significance level. The inverse CDF gives the value of the measurand which leads to the given probability. The number of standard deviations is this divided by the standard deviation of the distribution

impl<T: ToPrimitive> SignificanceLevel<T>

pub fn to_f64(self) -> Option<SignificanceLevel<f64>>

Trait Implementations

impl<T: Clone> Clone for SignificanceLevel<T>

fn clone(&self) -> SignificanceLevel<T>

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<T: Debug> Debug for SignificanceLevel<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T: ToPrimitive> Display for SignificanceLevel<T>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<T: Float> From<ConfidenceLevel<T>> for SignificanceLevel<T>

fn from(confidence_level: ConfidenceLevel<T>) -> Self

Converts to this type from the input type.

impl<T: Float> From<SignificanceLevel<T>> for ConfidenceLevel<T>

fn from(significance_level: SignificanceLevel<T>) -> Self

Converts to this type from the input type.

impl<T: PartialEq> PartialEq for SignificanceLevel<T>

fn eq(&self, other: &SignificanceLevel<T>) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<T: Copy> Copy for SignificanceLevel<T>

impl<T> StructuralPartialEq for SignificanceLevel<T>