|
|
Course Data
| STAT 243Z Elem Statistics I >4 |
4.00 cr. |
| A first course in statistics focusing on the interpretation and communication of statistical concepts. Introduces exploratory data analysis, descriptive statistics, sampling methods and distributions, point and interval estimates, hypothesis tests for means and proportions, and elements of probability and correlation. Technology will be used when appropriate. Previously MATH 243. Students cannot receive credit for both STAT 243Z and MATH 425. |
| Grading Options: |
Optional; see degree guide or catalog for degree requirements
|
| Instructor: |
Addington N  |
Office:
208 Fenton Hall
Phone:
(541) 346-4716
|
| Office Hours: |
1000 - 1200 W |
|
 Prereqs/Comments: |
Prereq: MATH 101 or satisfactory placement test score; MATH 111Z recommended; a programmable calculator capable of displaying function graphs. |
| Course Materials |
|
| |
| |
CRN |
Avail |
Max |
Time |
Day |
Location |
Instructor |
Notes |
Lecture |
25425 |
2 |
520 |
0830-0950 |
mw |
156 STB |
Addington N |
!9 |
Final Exam: |
1015-1215 |
r 3/20 |
156 STB |
| |
Associated Sections |
+ Dis |
25426 |
0 |
29 |
1600-1650 |
w |
103 PETR |
Pohl K |
|
+ Dis |
25427 |
0 |
29 |
1700-1750 |
w |
340 TYKE |
Zhang R |
|
+ Dis |
25428 |
0 |
29 |
0900-0950 |
r |
105 FEN |
Andersen A |
|
+ Dis |
25429 |
0 |
29 |
1000-1050 |
r |
151 STB |
Lu J |
|
+ Dis |
25430 |
0 |
29 |
1600-1650 |
w |
107 PETR |
Andersen A |
|
+ Dis |
25431 |
0 |
29 |
1700-1750 |
w |
103 PETR |
Pohl K |
|
+ Dis |
25432 |
0 |
29 |
0900-0950 |
r |
105 PETR |
Chan M |
|
+ Dis |
25433 |
0 |
29 |
1000-1050 |
r |
303 GER |
Pohl K |
|
+ Dis |
25434 |
1 |
29 |
1600-1650 |
w |
101 PETR |
Alioni B |
|
+ Dis |
25435 |
0 |
29 |
1700-1750 |
w |
107 PETR |
Andersen A |
|
+ Dis |
25436 |
1 |
29 |
0900-0950 |
r |
252 STB |
Lu J |
|
+ Dis |
25437 |
0 |
29 |
1000-1050 |
r |
105 FEN |
Andersen A |
|
+ Dis |
25438 |
0 |
29 |
1600-1650 |
w |
240 TYKE |
Lu J |
|
+ Dis |
25439 |
0 |
29 |
1700-1750 |
w |
101 PETR |
Alioni B |
|
+ Dis |
25440 |
0 |
29 |
0900-0950 |
r |
253 STB |
Pohl K |
|
+ Dis |
25441 |
0 |
29 |
1000-1050 |
r |
105 PETR |
Chan M |
|
+ Dis |
25442 |
0 |
28 |
1600-1650 |
w |
340 TYKE |
Zhang R |
|
+ Dis |
25443 |
0 |
28 |
1700-1750 |
w |
240 TYKE |
Lu J |
|
|
Academic Deadlines
| Deadline |
Last day to: |
| January 5: |
Process a complete drop (100% refund, no W recorded) |
| January 11: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| January 11: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| January 12: |
Process a complete withdrawal (90% refund, W recorded) |
| January 12: |
Withdraw from this course (100% refund, W recorded) |
| January 13: |
Add this course |
| January 13: |
Last day to change to or from audit |
| January 19: |
Process a complete withdrawal (75% refund, W recorded) |
| January 19: |
Withdraw from this course (75% refund, W recorded) |
| January 26: |
Process a complete withdrawal (50% refund, W recorded) |
| January 26: |
Withdraw from this course (50% refund, W recorded) |
| February 2: |
Process a complete withdrawal (25% refund, W recorded) |
| February 2: |
Withdraw from this course (25% refund, W recorded) |
| February 23: |
Withdraw from this course (0% refund, W recorded) |
| February 23: |
Change grading option for this course |
 | 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, please contact the Office of Academic Advising, 101 Oregon Hall, 541-346-3211 (8 a.m. to 5 p.m., Monday through Friday). If you are attempting to completely withdraw after business hours, and have difficulty, please contact the Office of Academic Advising the next business day. |
|
|
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.
|
|
|
