The phrase "are normally equal" is correct and usable in written English.
It can be used in contexts where you are discussing the equality of two or more items, conditions, or values in a general sense.
Example: "In a balanced equation, the reactants and products are normally equal in mass."
Alternatives: "are typically equal" or "are generally equal".
When op amps are powered from dual supplies, the supplies are normally equal in magnitude, opposing in polarity, and the center tap of the supplies is connected to ground.
In fixed-point arithmetic, gaps between adjacent number representations are normally equal; floating-point arithmetic, in turn, results in nonuniform gaps, which are about ten million times smaller than a given number magnitude, depending on the floating point precision [1].
Vestibular stimulation elicits vestibular-ocular reflex (VOR) and self-motion perception (e.g., vertigo) whose response durations are normally equal.
C Hb is normally equal to 150 mg/ml.
The strong ion gap (SIG), the difference between [SID+]a and [SID+]e, may be taken as an estimate of unmeasured ions: SIG = [SID+]a - [SID+]e= AG - [A-] (14) Unlike the well-known anion gap (AG = [Na+] + [K+] - [Cl-] - [HCO3-]) [ 10], the SIG is normally equal to 0. SIG may be a better indicator of unmeasured anions than the AG.
These cells are normally approximated as tessellating equal-size hexagons in most greenfield scenarios, or as equal-size squares in a downtown urban street scenario (Manhattan).
The estimation algorithms considered in the paper are based on the Refined Instrumental Variable (RIV) approach to identification and estimation, where the MISO model denominator polynomials are normally constrained to be equal.
They are normally winged.
In the latter case, the temperature and pressure near the bottom hole are specified and are normally assumed to be equal to their reservoir values.
In the latter case, the temperature and pressure near the bottom hole are specified and are normally assumed to be equal to their reservoir values [1, 2].
The proof of the Frequency Principle depends upon the fact that the relative frequencies of a trait in samples from such a population are normally distributed with mean equal to the frequency of the trait in the population and dispersion (standard deviation) that diminishes with the sizes of the population and the samples.
