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MTHE 367 Engineering Data Analysis Units: 3.50
Exploratory data analysis -- graphical and statistical analysis and presentation
of experimental data. Random sampling. Probability and probability models
for discrete and continuous random variables. Process capability. Normal probability graphs. Sampling distribution of means and proportions. Statistical Quality Control and Statistical Process Control. Estimation using confidence intervals. Testing of hypothesis procedures for means, variances and
proportions -- one and two samples cases. Liner regression, residuals and correlation. ANOVA. Use of statistical software.
NOT OFFERED 2023-2024
(Lec: 3, Lab: 0, Tut: 0.5)
of experimental data. Random sampling. Probability and probability models
for discrete and continuous random variables. Process capability. Normal probability graphs. Sampling distribution of means and proportions. Statistical Quality Control and Statistical Process Control. Estimation using confidence intervals. Testing of hypothesis procedures for means, variances and
proportions -- one and two samples cases. Liner regression, residuals and correlation. ANOVA. Use of statistical software.
NOT OFFERED 2023-2024
(Lec: 3, Lab: 0, Tut: 0.5)
Requirements: Prerequisites: APSC 171, APSC 172
Corequisites:
Exclusions: STAT 261, STAT 263, STAT 266, STAT 267
Offering Term: W
CEAB Units:
Mathematics 31
Natural Sciences 0
Complementary Studies 0
Engineering Science 11
Engineering Design 0
Offering Faculty: Faculty of Arts and Science
Course Learning Outcomes:
- CLOs coming soon; please refer to your course syllabus in the meantime.