The non-elementary integrals involving elementary exponential, hyperbolic and trigonometric functions,

and 
where
α,η and
β are real or complex constants are evaluated in terms of the confluent hypergeometric function
1F1 and the hypergeometric function
1F2. The hyperbolic and Euler identities are used to derive some identities involving exponential, hyperbolic, trigonometric functions and the hypergeometric functions
1F1 and
1F2. Having evaluated, these non-elementary integrals, some new probability measures generalizing the gamma-type and Gaussian distributions are also obtained. The obtained generalized probability distributions may, for example, allow to perform better statistical tests than those already known (e.g. chi-square (
x2) statistical tests and other statistical tests constructed based on the central limit theorem (CLT)), while avoiding the use of computational approximations (or methods) which are in general expensive and associated with numerical errors.