P(-1<Z<1) equals 1-2P(Z>1) due to the symmetry of the standard normal distribution around the mean of 0. The total area under the normal curve is 1, and the cumulative distribution function F(Z) helps calculate probabilities. By recognizing that P(-Z<z<Z) can be expressed as F(Z) - F(-Z), and using the property F(-Z) = 1 - F(Z), the relationship is established. This leads to the conclusion that the probability of Z being between -1 and 1 is equivalent to the area not exceeding 1 minus the tails beyond 1. Understanding these properties is essential for effectively using the normal distribution table.