  In this paper we study some basic properties of strong {\lambda}- statistical
convergence of sequences in probabilistic metric (PM) spaces. We also introduce
and study the notion of strong {\lambda}-statistically Cauchyness. Further
introducing the notions of strong {\lambda}-statistical limit point and strong
{\lambda}-statistical cluster point of a sequence in a probabilistic metric
(PM) space we examine their interrelationship.
