Review of simple and multiple regression, selection procedures, regression diagnostics, residual analysis, stepwise regression, analysis of variance, design of experiments including factorial experiments, analysis of ordinal data and nonparametric inference, basic time series models. Extensive use of statistical software. Emphasis on statistical applications to industrial engineering.
Spring | Summer | Fall | ||
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(Session 1) | (Session 2) | |||
2023 |
Statistical Analysis (4c)
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Statistical Analysis (4c)
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2022 |
Statistical Analysis (4c)
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Statistical Analysis (4c)
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2021 |
Statistical Analysis (4c)
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Statistical Analysis (4c)
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2020 |
Statistical Analysis (4c)
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Statistical Analysis (4c)
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Statistical Analysis (4c)
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2019 |
Statistical Analysis (4c)
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Statistical Analysis (2147483647-0c)
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Statistical Analysis (4c)
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2018 |
Statistical Analysis (4c)
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Statistical Analysis (2147483647-0c)
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Statistical Analysis (4c)
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2017 |
Statistical Analysis (4c)
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Statistical Analysis (2147483647-0c)
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Statistical Analysis (4c)
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2016 |
Statistical Analysis (4c)
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Statistical Analysis (4c)
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2015 |
Statistical Analysis (4c)
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Statistical Analysis (4c)
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2014 |
Statistical Analysis (4c)
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2013 |
Statistical Analysis (4c)
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2012 |
Statistical Analysis (4c)
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2011 |
Statistical Analysis (4c)
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2010 |
Statistical Analysis (4c)
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2009 | ||||
2008 | ||||
2007 |