"numerical strength" is a correct and usable phrase in written English.
It is typically used to refer to the amount of strength or power that can be expressed through mathematics or that depends on a numerical value. For instance, you could say, "They used their numerical strength to their advantage in the stock market."
Under strong rulers, the ʿAbīd al-Bukhārī were periodically reorganized, though they never regained their former military and numerical strength.
However, the legislation seems only to refer to the money going to the opposition party with the greatest numerical strength in the Commons.
Despite their numerical strength, the newcomers from Asia, Latin America and the former Soviet Union have yet to win real political power.
French union power does not derive from numerical strength: union penetration is even lower than in America (see chart).
"Their numerical strength is not enough for electoral wins but is enough to create trouble for any government in Pakistan".
For the first time in modern Iraq, the Shias have a cabinet that mirrors their numerical strength.
These realities perhaps explain why facility ownership and staff numerical strengths, appeared to be stronger predictors of staff motivation levels and overall quality health care performance of health facilities.
Even though the staff numerical strengths in rural and urban facilities were not statistically different, on the average, facilities in rural areas conducted more deliveries in a month (mean = 17, SD = 18) than facilities in urban areas (mean = 7, SD = 13, p = 0.0112).
In addition, a unit increase in numerical strengths of staff increased the likelihood of improving staff motivation levels (OR = 1.0, p < 0.05, CI = 1.01 – 1.02) and overall quality health care performance of health facilities (OR = 1.1, p < 0.001, CI = 1.0 – 1.1) (See Table 5).
The numerical ultimate strength data obtained are then compared with the predictions of (i) the currently codified DSM (Direct Strength Method) strength curves for the design of columns failing in local and distortional modes and (ii) available DSM-based design approaches specifically developed to handle local distortional interactive failures.
Finally, appropriate values of numerical interfacial strength are examined.
