Role of Statistics in Engineering and Technology Fields

Running Head: STATISTICS 1
Statistics
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STATISTICS 2
Executive summary
Technology advancement mainly focuses on incorporating various science fields to
enhance quality production in varies firms. The statistic is fundamental for testing and analyzing
data, system error and assessing risks. Most consumable products such as electronics and
automobiles use reliability theory in statistics to determine product failure. The engineers mostly
apply statistics to construct, operate and to manage construction systems. To achieve the best
architecture model, engineers incorporate model simulation and another statistical model to have
the best presentation.

STATISTICS 3
There are many roles played by statistics in engineering and technology fields. Engineers
need statistician help in designing a product. Statistics deals with data collection, data analysis,
and presentation (Huber, P. 2011). The data is used to create an operational model used in
deciding the progress for the Company. Statistic engineers help in solving critical technological
issues in society by applying scientific principles and analyze an existing product or design a
new product that satisfies the customer. Manufacturing activities in industries mostly take place
in closed-loop control with the automation aiming to ensure processes variables are okay. In
paper or chemical industries, the engineers often have to apply closed-loop concepts to control
the system to minimize the impact of activities disturbance.
As per Rees (2018), elements of statistics used in conducting research include linear
regression and correlation, chi-square, statistical inferences, descriptive analysis, and probability
sample design among others. According to Anderberg (2014), probability sample design is
applied in carrying out field studies. Simple random sampling is a statistical procedure which
gives all elements in the sample population equal chance of being selected. For example, in
conductions poll, all votes are given a fair opportunity of elected a preferred leader. Another
critical element in statistics field is study design where the specific protocol followed while
conducting the study. The investigator can translate the conceptual hypothesis obtain from the
research to an operation or real world event. One fundamental principle of statistical data it must
have a decent meaning level of consistency two or more measures, and it should upload validity
or trustfulness concept.