How to calculate conformity interval

CONFORMITY INTERVAL reflects conformity between/among 2 or more values. If used for comparison of more values than 2, it calculates only differences between mean values, without any regard to the variability (= dispersion of data).

COMPARISON OF 2 VALUES
VALUES:

A (e.g., tabular value)
B (e.g., experimental value)

EXAMPLE:

A = 10
B = 9

Comparison procedure:

  1. set A = 100%;
  2. express B as percentage of A;
  3. calculate: CI = | A - B |
    EXPRESS: B + asterisk (see bellow)

Comparison procedure:

  1. 10 = 100%;
  2. 9 = 90%
  3. calculate: CI = | 100 - 90 | = 10%
    EXPRESS: 9*

 

COMPARISON OF 3 OR MORE VALUES
VALUES:

A (1. experimental value)
B (2. experimental value)
C (3. experimental value)

 EXAMPLE:

A = 10.0
B = 10.1
C = 9.0

Comparison procedure:

  1. set central value (not average) = 100%;
  2. express other values as percentage
    of central value
  3. calculate:
    CI = | A - B |
    CI = | A - C |
    valid is higher CI (it includes the lower one)
    EXPRESS: A, B, C + asterisk (see bellow)

Comparison procedure:

  1. 10.0 = 100%;
  2. 10.1 = 101%;
    9 = 90%
  3. calculate:
    CI = | 100 - 101| = 1%
    CI = | 100 - 90 | = 10%
    valid is higher CI = 10%
    EXPRESS: 10.0*, 10.1*, and 9.0*


ASTERISKS
MARKERS:
± 1% = very high significant conformity (***)
±  5% = high significant conformity (**)
± 20% = significant conformity (*)
> 20% = conformity is insignificant (#)