خيارات التسجيل
Tahun Akademik:
Gasal 2025/2026
Kelas-Offr:
INT-GA04
Deskripsi:
This course provides a thorough understanding of inferential statistics, non-parametric statistics, and their applications in hypothesis testing. Students will learn to analyze data using variance analysis, regression, and correlation techniques, and select appropriate goodness of fit tests. The course also covers the application of non-parametric statistical methods and problem-solving in industrial contexts using statistical techniques. Students will gain hands-on experience with statistical software such as SPSS and Minitab, enabling them to effectively analyze and interpret data.
Capaian Pembelajaran
Gasal 2025/2026
Kelas-Offr:
INT-GA04
Deskripsi:
This course provides a thorough understanding of inferential statistics, non-parametric statistics, and their applications in hypothesis testing. Students will learn to analyze data using variance analysis, regression, and correlation techniques, and select appropriate goodness of fit tests. The course also covers the application of non-parametric statistical methods and problem-solving in industrial contexts using statistical techniques. Students will gain hands-on experience with statistical software such as SPSS and Minitab, enabling them to effectively analyze and interpret data.
Capaian Pembelajaran
- - Understand inferential statistics concepts (probability distributions, sampling, point estimation, confidence intervals).
- - Understand non-parametric statistics concepts.
- - Formulate and test statistical hypotheses.
- - Analyze data using variance analysis, regression, and correlation techniques.
- - Select appropriate goodness of fit tests.
- - Analyze data using non-parametric statistical techniques.
- - Solve industrial problems using appropriate statistical methods.
- - Operate statistical processing software (SPSS and Minitab).
- Devore, J.L. 2008. Probability and Statistics for Engineering and the Sciences. Thomson Learning.
- Montgomery, D.C., & Runger, G.C. 2013. Applied Statistics and Probability for Engineers. Wiley.
- Walpole, R.E., Myers, R.H. & Ye, K. 2007. Probabilitiy and Statistics for Engineers and Scientists, Edisi 8. Pearson Prentice Hall.
- المعلم: Nikmatus Sholikha
- الطلاب المسجلون: 7
لا يمكن للضيوف الوصول إلى هذا المقرر الدراسي. يرجى تسجيل الدخول.