Difference between revisions of "ISYE 3770"

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m (ISYE 3770 is not cross-listed with MATH 3670. Correct cross-listed courses and made minor formatting tweaks.)
 
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[[Category:Courses|^ISYE^ISYE]]
 
[[Category:Courses|^ISYE^ISYE]]
'''ISYE 3770: Statistics and Applications''' is a 3 credit course in applied statistics and probability. It is cross-listed with [[MATH 3670]] and [[CEE 3770]]. Note: some majors allow double-counting of ISYE 3770 for the statistic requirement as a non-major engineering elective.
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'''ISYE 3770: Statistics and Applications''' is a 3-credit course in applied statistics and probability. It is cross-listed with [[MATH 3770]] and [[CEE 3770]].
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Note: some majors allow double-counting of ISYE 3770 for the Statistics requirement and as a non-major engineering elective.
   
 
== Topic List ==
 
== Topic List ==

Latest revision as of 14:57, 12 May 2022

ISYE 3770: Statistics and Applications is a 3-credit course in applied statistics and probability. It is cross-listed with MATH 3770 and CEE 3770.

Note: some majors allow double-counting of ISYE 3770 for the Statistics requirement and as a non-major engineering elective.

Topic List[edit | edit source]

The textbook used is Applied Statistics and Probability for Engineers by Montgomery and Runger, especially chapters 2 through 13.

  • Probability
  • Discrete random variables
  • Continuous random variables
    • Binomial, geometric, negative binomial, hypergeometric, Poisson, continuous uniform, normal, and exponential distributions
  • Joint probability distributions
  • Descriptive statistics
  • Sampling distributions and point estimation
  • Confidence intervals
  • Hypothesis testing
  • Statistical inference for two samples
  • Linear regression and multiple linear regression

Workload[edit | edit source]

Content is assessed through homework and assignments and exams. Use of statistical computer software such as Excel or R may be required in some homework assignments. ISYE 3770 is considered to be an easier class compared to equivalent math courses in probability and statistics.