#level #confidence #intervals #describe #null #hypothesis #significance

confi

confidence intervals and significance levels for statistical computation

5 releases

0.1.4 Dec 13, 2024
0.1.3 Dec 11, 2024
0.1.2 Nov 7, 2024
0.1.1 Nov 7, 2024
0.1.0 Nov 6, 2024

#4 in #describe

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Used in 2 crates

MIT license

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confidence


A simple crate for dealing with confidence levels, significance levels and confidence intervals.

Significance Levels


The significance level describes the evidence present in a sample under test which allows for rejection of the null hypothesis (the state when two outcomes or possibilities are the same). In a measurement model the null hypothesis under test is typically whether a given reading is indistinguishable from another, or whether it is indistinguishable from the system response at zero stimulus (the minimum detectable value).

use confi::SignificanceLevel;

let from_fraction = SignificanceLevel::fractional(0.1).unwrap();
let from_percentage = SignificanceLevel::percentage(10.0).unwrap();

assert_eq!(from_fraction, from_percentage);

Confidence Levels


The confidence level describes the probability of obtaining the same result in repeated data collection processes.

use confi::ConfidenceLevel;

let from_fraction = ConfidenceLevel::fractional(0.1).unwrap();
let from_percentage = ConfidenceLevel::percentage(10.0).unwrap();

assert_eq!(from_fraction, from_percentage);

Confidence intervals


A confidence interval is a range of results which can be deemed to contain a measured value to a given confidence level.

use confi::{ConfidenceLevel, ConfidenceInterval, Confidence};

let from_fraction = ConfidenceLevel::fractional(0.1).unwrap();
let interval = ConfidenceInterval::new(1.0..=3.0, from_fraction);

assert!(interval.contains(2.0));

Dependencies

~7MB
~146K SLoC