Mohammad Muqri|Nikole Harper|Hasan Muqri|Brian Wesr
Leveraging the power of Matlab, SPSS, EXCEL, and Minitab for Statistical Analysis and Inference
University of Tennessee at Knoxville|American Society For Engineering Education|DeVry University|University of Tennessee at Knoxville|American Society For Engineering Education|DeVry University|University of Tennessee at Knoxville|American Society For Engineering Education|DeVry University|University of Tennessee at Knoxville|American Society For Engineering Education|DeVry University
many undergraduate graduate engineering technology students data collection data analysisincluding methodology statistical analysis data preparationis daunting frustrating aspect working capstone senior projects masters thesesthis paper provides introduction number statistical considerations specifically statistical hypotheses statistical methods appropriate analytic techniques sample size justificationsstatistical analysis data utilizing statistical software packages including matlab spss minitab excel r shown scientific applications quality assurance corporate finance modeling purposesour goal prep students adept variety basic advanced statistical methods able use tools judiciously fully understand interpret analyses resultsthis paper explain learning teaching module instrumental progressive learning students paper also demonstrate numerical integral algorithms derived computed leverage excel minitab matlab data structuresas result discussion concerning comparison spss excel minitab matlab programming well student feedbackthe result new approach expected strengthen capacity quality undergraduate graduate degree programs addition enhancing overall student learning satisfaction objectivethis teaching module designed enhance knowledge expertise student enabled apply inferential methods different configurations data thereby enhancing statistical literacy critical thinkingit includes descriptive statistics inferential concepts used draw conclusions populationresearch techniques sampling experiment design included single multiple sample groupschoice statistical software comparison universities institutions support wide variety statistical softwarethe decision process related purchase statistical software strongly depending context undertake decisionconstraints like budget surrounding infrastructure level programming knowledge skills end user extent statistical analysis addressed many contextbased elements much factors open different scenario require reflection