Statistical foundations
Statistical foundations is a central organizing idea supported by Rutgers' official course description; treat it as a lens for application, not as a promise about one instructor's exact sequence.
Rutgers catalogResearched guideSIRS history80 section records
33:136:385
Statistical Methods In Business
BUSINESS ANALYTICS AND INFORMATION TECHNOLOGY
- credits
- 3
- Core
- None listed
- Typical seasons
- Fall, Spring, Summer, Winter
- Fall 2026 sections
- 19
- Open snapshot
- 2 open in snapshot
Course guide
AI-generated overview
Course fingerprint 10 AI-generated signals
Difficulty
4/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 4/5 difficulty signal; exact section practices can vary.
Workload
4/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 4/5 workload signal; exact section practices can vary.
Pacing
3/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 3/5 pacing signal; exact section practices can vary.
Projects
2/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 2/5 project work signal; exact section practices can vary.
Exams
4/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 4/5 exam intensity signal; exact section practices can vary.
Math
5/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 5/5 math intensity signal; exact section practices can vary.
Memorization
3/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 3/5 memorization load signal; exact section practices can vary.
Abstraction
4/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 4/5 abstraction level signal; exact section practices can vary.
Prerequisites
5/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 5/5 prerequisite dependence signal; exact section practices can vary.
Reading
3/5Why
Rutgers defines this business-statistics course through experiment design, ANOVA, regression, chi-square, nonparametric tests, and practical decision-making. The official sample syllabus uses three homework assignments and two exams; calculus and introductory statistics are prerequisites. This supports a conservative 3/5 reading load signal; exact section practices can vary.
Topic breakdown
A practical chapter-by-chapter view from foundations to applications.
3 modules
Module 1
Statistical foundations
Official Rutgers materials place this course around statistical foundations; section examples may change, but the topic is a stable guide to the course's purpose.
statistical foundations
Basic concept overview
Regression and model design
Regression and model design is a central organizing idea supported by Rutgers' official course description; treat it as a lens for application, not as a promise about one instructor's exact sequence.
Experiments and categorical data
Experiments and categorical data is a central organizing idea supported by Rutgers' official course description; treat it as a lens for application, not as a promise about one instructor's exact sequence.
Things to watch for
Treating statistical foundations as a list of terms
Connect each term to the course question, evidence, and an example.
Ignoring the audience or context in regression and model design
State who is affected, what decision is being made, and what constraints matter.
Leaving experiments and categorical data until the end
Use staged practice and revision so the final work reflects feedback and course goals.
Fall 2026 sections
2 open · Livingston
| Section | Status | Instructor | Meeting | Campus |
|---|---|---|---|---|
| 0121924 | Closed | WANG, JIN | Monday 10:20 AM-11:40 AM at BRR 4085; Thursday 10:20 AM-11:40 AM at BRR 4085BRR 4085 | Livingston |
| 0221925 | Closed | GURSOY, KEMAL | Monday 10:20 AM-11:40 AM at BE 252; Thursday 10:20 AM-11:40 AM at BE 252BE 252 | Livingston |
| 0321926 | Closed | WANG, JIN | Monday 12:10 PM-1:30 PM at BRR 4085; Thursday 12:10 PM-1:30 PM at BRR 4085BRR 4085 | Livingston |
| 0421927 | Closed | GURSOY, KEMAL | Monday 12:10 PM-1:30 PM at BRR 5085; Thursday 12:10 PM-1:30 PM at BRR 5085BRR 5085 | Livingston |
| 0521928 | Closed | ALEMAYEHU | Monday 2:00 PM-3:20 PM at BRR 3085; Wednesday 2:00 PM-3:20 PM at BRR 3085BRR 3085 | Livingston |
| 0621930 | Closed | WANG, JIN | Monday 2:00 PM-3:20 PM at BE 252; Wednesday 2:00 PM-3:20 PM at BE 252BE 252 | Livingston |
| 0721931 | Closed | DIAZ-TENA | Monday 2:00 PM-3:20 PM at TIL 257; Wednesday 2:00 PM-3:20 PM at TIL 257TIL 257 | Livingston |
| 0921933 | Closed | BRUNING, THOMAS | Monday 5:40 PM-7:00 PM at LSH B269; Wednesday 5:40 PM-7:00 PM at LSH B269LSH B269 | Livingston |
| 1021934 | Closed | DIAZ-TENA | Monday 5:40 PM-7:00 PM at BE 252; Wednesday 5:40 PM-7:00 PM at BE 252BE 252 | Livingston |
| 1121935 | Closed | GURSOY, KEMAL | Tuesday 3:50 PM-5:10 PM at BRR 3071; Thursday 3:50 PM-5:10 PM at BRR 3071BRR 3071 | Livingston |
| 1221936 | Closed | Singh, Manish | Tuesday 3:50 PM-5:10 PM at BRR 3085; Thursday 3:50 PM-5:10 PM at BRR 3085BRR 3085 | Livingston |
| 1321937 | Closed | GURSOY, KEMAL | Tuesday 5:40 PM-7:00 PM at BRR 3085; Thursday 5:40 PM-7:00 PM at BRR 3085BRR 3085 | Livingston |
| 1421938 | Closed | Singh, Manish | Tuesday 8:30 AM-9:50 AM at BRR 3071; Friday 8:30 AM-9:50 AM at BRR 3071BRR 3071 | Livingston |
| 1521939 | Open | GURVICH | Tuesday 10:20 AM-11:40 AM at BRR 5085; Friday 10:20 AM-11:40 AM at BRR 5085BRR 5085 | Livingston |
| 1621940 | Closed | ALEMAYEHU | Wednesday 10:20 AM-1:20 PM at BRR 3085BRR 3085 | Livingston |
| 1721941 | Closed | DIAZ-TENA | Wednesday 8:30 AM-11:30 AM at BRR 5085BRR 5085 | Livingston |
cachedSource: Checked-in Rutgers Schedule of Classes snapshotsUpdated when term datasets are refreshedMay be stale
SIRS teaching signals
Historical student surveys
Teaching
3.61
Course quality
3.54
Response rate
64.7%
Coverage
234 offerings · 2014–2025
| Instructor | Offerings | Teaching | Quality |
|---|---|---|---|
| Gursoy, Kemal | 36 | 3.92 | 3.83 |
| Bruning, Thomas | 32 | 3.76 | 3.65 |
| Szatrowski, Ted | 23 | 2.49 | 2.41 |
| Wang, Jin | 21 | 4.28 | 4.26 |
| Gursoy Kemal | 20 | 3.34 | 3.27 |
| Diaz-Tena, Nuria | 17 | 3.67 | 3.63 |
Course stats
Catalog and planning context
Credits
3
Current campuses
Livingston
Current availability
2 open of 19
Catalog terms
Fall, Spring, Summer, Winter
Core codes
None listed
Loaded terms
6
Prerequisites
(01:640:135 and 01:640:135 and 01:960:285 and 01:960:285) <em> OR </em> (01:640:130 and 01:640:130 and 01:960:211 and 01:960:211) <em> OR </em> (01:640:135 and 01:640:135 and 01:960:211 and 01:960:211) <em> OR </em> (01:640:130 and 01:640:130 and 01:960:285 and 01:960:285) <em> OR </em> (01:640:151 and 01:640:151 and 01:960:285 and 01:960:285) <em> OR </em> (01:640:151 and 01:640:151 and 01:960:211 and 01:960:211)
Degree requirement lists
No direct degree-list membership appears in the checked-in requirement index.
