## 1 Introduction  
Currently, an upward interest in the development of sustainable materials has led to an increased interest in natural fiber-reinforced composites. This is due to their renewable nature, derived eco-friendly products, low energy requirements for manufacture, CO2 neutrality, and strong specific mechanical properties [1, 2]. Furthermore, natural fiber-reinforced composite engineering has sparked significant interest in the automotive and building industries due to the low cost, excellent flexural and tensile strength, high degree of flexibility, abrasion, and acoustic resistance [3, 4]. This is especially true since, unlike glass fibers, these lignocellulosic fibers will flex rather than fracture during composite processing. The natural fibers from leaves and stems have been extracted and used in the textiles and rope industries due to their longer length. These plant fibers are bundled into thousands of single strands, but separating them into single fibers is difficult. Non-uniformity and the dimension variation in natural fibers have been observed between plant fibers, between individual fibers of the same plant, and even within a single bundle of fibers. A general need for the successful use of these natural fibers is the availability of high-quality plant fibers with well-defined mechanical properties [5]. In this regard, due to a lack of published values and inadequate descriptions of the resulting mechanical properties of bio-composites, measuring the tensile strength of natural cellulosic fibers is paramount in order to make their application a success [6]. Because there is a lot of diversity in the cross-sectional area between the fibers and within the same fibers along the length of a single-bundle fiber, determining the cross-section size of the sample for tensile strength calculations is a challenge. Instead of using the tensile strength in MPa, an alternative approach is used to calculate strength in terms of breaking tenacity (cN/tex) [6]. One of the key goals is to look at the main factors that influence the fiber bundle properties, and therefore fibers are tested for their physical and mechanical properties. This is because selecting fibers with desired properties is essential for the application of the natural fibers, especially the strongest long bundle fibers such as stem and leaf fibers [5]. [PERSON]'s review focused on modifying the microstructure of natural fibers through chemical and physical treatment to improve their mechanical properties [7]. However, knowledge on the physical, mechanical, chemical, and thermal properties of natural fibers is required during the optimization of unidirectional natural fiber-reinforced composites' performance [8]. Additionally, plant fibers are difficult to employ for structural parts that require a high level of reliability due to their wide variety of physical and mechanical properties. The substantial diversity in natural fiber characteristics is generally acknowledged to be one of the current limitations of their application. Several factors, including the climate, age of the plant, processing conditions, and elementary and technical fiber strength including variety, growth conditions, maturity, and retting degree influence the qualities of fibers [5,9]. Among the natural fibers, the Enset (_Enset ventricosum_) plant is a key multipurpose Ethiopia crop [10, 11, 12]. Enset fibers are extracted from the pseudostem debris of the Enset plant, which belongs to the _Musaceae_ family [13]. Enset fibers are among the special fibers extracted from agricultural waste and very long and strong bundle fiber obtained can average a length of 1200-1500 mm. The current study investigates the physical and mechanical features of the Enset fiber along its length. To explore the substantial disparity of mechanical and physical properties, probabilistic statistical approaches to assess variance were employed [14]. Recently, the Weibull/weakest link distribution has been widely applied to the statistical analysis of mechanical strengths of plant fiber.