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Academic Deadlines
| Deadline |
Last day to: |
| January 4: |
Process a complete drop (100% refund, no W recorded) |
| January 10: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| January 10: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| January 11: |
Process a complete withdrawal (90% refund, W recorded) |
| January 11: |
Withdraw from this course (100% refund, W recorded) |
| January 12: |
Add this course |
| January 12: |
Last day to change to or from audit |
| January 18: |
Process a complete withdrawal (75% refund, W recorded) |
| January 18: |
Withdraw from this course (75% refund, W recorded) |
| January 25: |
Process a complete withdrawal (50% refund, W recorded) |
| January 25: |
Withdraw from this course (50% refund, W recorded) |
| February 1: |
Process a complete withdrawal (25% refund, W recorded) |
| February 1: |
Withdraw from this course (25% refund, W recorded) |
| February 22: |
Withdraw from this course (0% refund, W recorded) |
 | For information on last day to Change Grade Option or Change Variable credit: Dates & Deadlines calendar You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, connect with an Academic Advisor. If you are attempting to completely withdraw after business hours, and have difficulty, please contact the an Academic Advisor the next business day. |
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Expanded Course Description
The emphasis of the course is on statistical reasoning: interpretation of and critical thinking about statistical information. The main concepts will be illustrated by a variety of interesting and important real world examples.
These will include issues under current discussion in society that have a statistical component, in particular political polling and various studies In the social sciences.
The course will cover the following topics: Displaying distributions with graphs, Describing distributions with numbers, Density curves, Normal distributions, Scatterplots, Correlation, Least-squares regression, Designing samples, Designing experiments, Probability models, Sampling distributions, The central limit theorem, Estimating with confidence, Tests of significance, t-test and t-confidence interval, Comparing two means, Inference for a population proportion, Comparing two proportions.
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Prereqs/Comments: