We know that the total area of the normal distribution from negative infinity to positive infinity is 1 because the normal distribution is a probability density function. However, just 3 standard deviations above and below the mean accounts for about 0.9973002 of the normal distribution.
On most z-tables when we calculate the probability of the z-scores we get the total area from negative infinity to that z-score, or in the other words the area under the normal distribution to the left of the z-score. If we want the area between z-scores it is just the difference of the probabilities for the larger z-score minus that of the smaller z-score.
Adding up areas:
prob(Z = 0.55) + prob(0.55 <= Z <= 1.3) = prob(Z = 1.3),
where prob(0.55 <= Z <= 1.3) is the area between the z-scores 0.55 and 1.3.
Algebraic rearrangement:
prob(0.55 <= Z <= 1.3) = prob(Z = 1.3) - prob(0.55)
= 0.9032 - 0.7088
= 0.1944.
So the percent total area under the standard normal curve between the following z-scores Z = 0.55 and Z = 1.3
explains approximately 19.44% of the total area of the normal distribution from negative infinity to positive infinity which is 100%
See the following table for calculating the areas. The page shows you how to do it.
https://www.boundless.com/statistics/textbooks/boundless-statistics-textbook/continuous-random-variables-10/the-normal-curve-39/finding-the-area-under-the-normal-curve-193-2641/
Of course, the statistical programming language R can give us a more exact area between those z-scores which is 0.1943592 ... found by calculating:
> pnorm(1.3) - pnorm(0.55)
[1] 0.1943592