The course is designed for undergraduate engineering students with emphasis on problem-solving related to societal  that  engineers  and  scientists  area  called  upon  to  solve.  It  introduces  different  methods  of  data collection  and  the  suitability  of  using  a  particular  methods  for  a  given  situation.  It  includes  coverage  and discussion of the relationship of probability to statistics, providing students with tools they need to understand how “chance” plays a role in statistical analysis. Probability distributions of random variables and their uses, are also considered, along with a discussion of linear functions of random variables within the context of their application  to  data  analysis  and  inference.  The  course  also  include  estimation  techniques  for  unknown parameters,  and  hypothesis  testing  used  in  making  inferences  from  sample  to  population,  inference  for regressions parameters and build models for estimating means and predicting future values of key variables under study Finally, statistically based experimental design techniques and analysis of data are discussed with the  aid  of  relevant  statistical  software.


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