The normal distribution models a continuous variable, such as height or mass, whose values cluster symmetrically around the mean in a bell-shaped curve. It is written N(μ, σ2): the second number is the variance, so take its square root to get the standard deviation σ. Probabilities are areas under the curve.
To use the tables, standardise: change x into z, the number of standard deviations from the mean. The tables give Φ(z) = P(Z < z) for positive z. Use symmetry for negative z.
A binomial distribution with large n can be approximated by a normal distribution with the same mean and variance, using a continuity correction.