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Johns Hopkins University | BU.510.601

Statistical Analysis

2.0

credits

Average Course Rating

(4.21)

Students learn statistical techniques for further study in business, economics, and finance. The course covers sampling distributions, probability, confidence intervals, hypothesis testing, regression and correlation, basic modeling, analysis of variance, and chi-square testing. The course emphasizes statistics to solve management problems. Case studies, spreadsheets, and Excel Add-in Data Analysis ToolPak computer software are used.

Fall 2012

(4.09)

Fall 2014

(4.33)

Fall 2012

Professor: Todd Hufnagel

(4.09)

The best aspect of the course was the energetic and knowledgeable professor. The course covered a lot of information in an in-depth manner and the professor was able to keep students engaged through jokes and efficient lectures. The worst aspects of the course were the fast paced lectures and the extremely difficult exams that didn’t incorporate much of what students were actually learning in class. The course would improve if the material was covered at a slower pace so that the concepts could be explained more clearly. Prospective students should have a materials science background and be prepared for some extensive reading to understand the challenging material.

Fall 2014

Professor: Robert Cammarata

(4.33)

Students praised this course for having a knowledgeable and engaged instructor and a manageable workload. Perceived issues with the course varied. Multiple students thought that the course was unstructured and that the course’s grading system wasn’t clear. Suggestions for improvement included a desire by some students for additional structure in the course with some students requesting a well-defined syl abus. Prospective students should know that students found the course didn’t require a significant amount of background knowledge.

Lecture Sections

(31)

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B. Robeson
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B. Robeson
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B. Robeson
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B. Robeson
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Dept. Faculty
18:00 - 21:00

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X. Hu
13:30 - 16:30

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X. Hu
08:30 - 11:30

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Dept. Faculty
08:30 - 11:30

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Dept. Faculty
08:15 - 11:15

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S. Korsaye
14:30 - 17:30

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Dept. Faculty
08:30 - 11:30

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Dept. Faculty
08:30 - 11:30

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S. Korsaye
08:15 - 11:15

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S. Korsaye
14:30 - 17:30

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A. Eshragh
08:15 - 11:15

(W1)

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S. Korsaye
08:15 - 11:15

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S. Korsaye
14:30 - 17:30

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S. Urban
14:30 - 17:30

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S. Urban
08:15 - 11:15

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S. Urban
14:30 - 17:30

(W6)

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S. Urban
08:15 - 11:15

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B. Robeson
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N. Nikandish
14:30 - 17:30

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N. Nikandish
18:00 - 21:00

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S. Urban
14:30 - 17:30

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A. Eshragh
14:30 - 17:30

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N. Nikandish
08:15 - 11:15

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A. Eshragh
08:15 - 11:15