STATISTICS 133 and 133N
Typical Student Profile
This class is required for students who wish to be admitted to the business school.
Lecture
- Structure of the course:
- 2 midterms.
- 1 final during the finals week.
- Suggested (ungraded) homework problems.
- No notes for exams, but a formula sheet is provided.
- Practice exams.
- Topics covered:
- Describing distributions (graphs and numerical summaries).
- Samples and Experiments.
- Correlation and Regression.
- Probability (including conditional probability).
- Random Variables.
- Binomial Distribution.
- Sampling distributions for means.
- Confidence intervals for means.
- Challenging concepts:
- Probability.
- Vocabulary for sampling and experiments.
- Things that are taught differently from other courses:
- None.
- Text used:
- The Practice of Business Statistics: Using Data for Decisions (1st ed.) by Moore, McCabe, Duckworth, Sclove.
- Notes:
- Day and night lectures use the same PowerPoint presentations written by the course coordinator.
- Notes are posted on Carmen before class; students are expected to print and bring them to lecture.
- Statistical software:
- Excel (with Stattools as add in).
- Course management website:
- Carmen.
- Notes and grades are posted on Carmen.
- Grade dependent on attendance:
- Lecture attendance does not directly affect a student’s grade.
- Helpful tips for new TAs:
- Get in touch with TAs who have lectured this course.
- Read through the notes a couple of days before you teach the material. This gives you enough time to contact the course coordinator and have your doubts cleared.
- Become familiar with the textbook.
- Give lots of examples, especially with probability. Use visuals (Venn diagrams, tables, and trees).
- Talk frequently with the course coordinator.
- 2 midterms.
- 1 final during the finals week.
- Suggested (ungraded) homework problems.
- No notes for exams, but a formula sheet is provided.
- Practice exams.
- Describing distributions (graphs and numerical summaries).
- Samples and Experiments.
- Correlation and Regression.
- Probability (including conditional probability).
- Random Variables.
- Binomial Distribution.
- Sampling distributions for means.
- Confidence intervals for means.
- Probability.
- Vocabulary for sampling and experiments.
- None.
- The Practice of Business Statistics: Using Data for Decisions (1st ed.) by Moore, McCabe, Duckworth, Sclove.
- Day and night lectures use the same PowerPoint presentations written by the course coordinator.
- Notes are posted on Carmen before class; students are expected to print and bring them to lecture.
- Excel (with Stattools as add in).
- Carmen.
- Notes and grades are posted on Carmen.
- Lecture attendance does not directly affect a student’s grade.
- Get in touch with TAs who have lectured this course.
- Read through the notes a couple of days before you teach the material. This gives you enough time to contact the course coordinator and have your doubts cleared.
- Become familiar with the textbook.
- Give lots of examples, especially with probability. Use visuals (Venn diagrams, tables, and trees).
- Talk frequently with the course coordinator.
Recitation:
- Structure of recitation:
- Group work on assigned problems.
- Grade dependent on recitation:
- Students complete problems in groups during recitation to earn their grade (there are no attendance points).
- Students cannot make up recitation activities without proper documentation.
- Things that are taught differently from other courses:
- None.
- Challenging concepts:
- Probability.
- Vocabulary for sampling and experiments.
- Helpful tips for new TAs:
- Attend lecture in your first quarter teaching any course. This is the best way to really know what’s being taught and when.
- Become familiar with the textbook.
- Talk to experienced TAs. They can tell you what specific problems to expect when teaching a particular topic.
- Plan ahead.
- Sometimes it helps to very briefly go over topics, concepts and ideas before you work on problems that implement these. Students may have forgotten the concepts from lecture and may need a little “refreshing.”
- Walk around the room frequently while students work on problems.
- It helps to first review problem areas from the previous recitation, then review the new material before beginning the problems.
- Group work on assigned problems.
- Students complete problems in groups during recitation to earn their grade (there are no attendance points).
- Students cannot make up recitation activities without proper documentation.
- None.
- Probability.
- Vocabulary for sampling and experiments.
- Attend lecture in your first quarter teaching any course. This is the best way to really know what’s being taught and when.
- Become familiar with the textbook.
- Talk to experienced TAs. They can tell you what specific problems to expect when teaching a particular topic.
- Plan ahead.
- Sometimes it helps to very briefly go over topics, concepts and ideas before you work on problems that implement these. Students may have forgotten the concepts from lecture and may need a little “refreshing.”
- Walk around the room frequently while students work on problems.
- It helps to first review problem areas from the previous recitation, then review the new material before beginning the problems.