Mathematics (MATH) |
202 Fenton, 541-346-4705
College of Arts & Sciences
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8 - No cost for class textbook materials.
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Course Data
| MATH 243 Intro Probabil & Stats >4 |
4.00 cr. |
| Discrete and continuous probability, data description and analysis, sampling distributions, emphasizes confidence intervals and hypothesis testing. Students cannot receive credit for both MATH 243 and 425. |
| Grading Options: |
Optional; see degree guide or catalog for degree requirements
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| Instructor: |
Harker H |
Office:
308 University Hall
Phone:
(541) 346-5630
|
 Prereqs/Comments: |
Prereq: MATH 101 or satisfactory placement test score; MATH 111 recommended; a programmable calculator capable of displaying function graphs. |
| Course Materials |
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CRN |
Avail |
Max |
Time |
Day |
Location |
Instructor |
Notes |
Lecture |
13917 |
3 |
419 |
0830-0950 |
mw |
156 STB |
Harker H |
!8 |
Final Exam: |
1015-1215 |
t 12/07 |
156 STB |
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Associated Sections |
+ Dis |
13918 |
0 |
23 |
0800-0850 |
r |
112 WIL |
Nordstrom V |
|
+ Dis |
13919 |
0 |
24 |
0800-0850 |
r |
119 FEN |
Huchala A |
|
+ Dis |
13920 |
0 |
23 |
0800-0850 |
r |
307 UNIV |
Pohl K |
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+ Dis |
13921 |
1 |
23 |
0800-0850 |
r |
44 COL |
Hunter N |
|
+ Dis |
13922 |
0 |
23 |
0900-0950 |
r |
112 WIL |
Nordstrom V |
|
+ Dis |
13923 |
1 |
24 |
0900-0950 |
r |
119 FEN |
Huchala A |
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+ Dis |
13924 |
0 |
24 |
0900-0950 |
r |
106 UNIV |
Pohl K |
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+ Dis |
13925 |
0 |
23 |
0900-0950 |
r |
125 LLCN |
Hunter N |
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+ Dis |
13926 |
0 |
23 |
1600-1650 |
w |
242 GER |
Nordstrom V |
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+ Dis |
13927 |
0 |
23 |
1600-1650 |
w |
208 UNIV |
Huchala A |
|
+ Dis |
13928 |
0 |
23 |
1600-1650 |
w |
115 LA |
Pohl K |
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+ Dis |
13929 |
0 |
23 |
1600-1650 |
w |
110 FEN |
Hunter N |
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+ Dis |
13930 |
0 |
23 |
1700-1750 |
w |
117 FEN |
Nordstrom V |
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+ Dis |
13931 |
0 |
24 |
1700-1750 |
w |
119 FEN |
Huchala A |
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+ Dis |
13932 |
1 |
24 |
1700-1750 |
w |
348 MCK |
Pohl K |
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+ Dis |
13933 |
0 |
23 |
1700-1750 |
w 9/27-11/17 |
121 MCK |
Hunter N |
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| 1700-1750 |
w 11/18-12/05 |
103 PETR |
+ Dis |
13934 |
0 |
23 |
0800-0850 |
r |
260 TYKE |
Wolff E |
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+ Dis |
13935 |
0 |
23 |
0900-0950 |
r |
260 TYKE |
Wolff E |
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Academic Deadlines
| Deadline |
Last day to: |
| September 26: |
Process a complete drop (100% refund, no W recorded) |
| October 2: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| October 2: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| October 3: |
Process a complete withdrawal (90% refund, W recorded) |
| October 3: |
Withdraw from this course (100% refund, W recorded) |
| October 4: |
Add this course |
| October 6: |
Last day to change to or from audit |
| October 10: |
Process a complete withdrawal (75% refund, W recorded) |
| October 10: |
Withdraw from this course (75% refund, W recorded) |
| October 17: |
Process a complete withdrawal (50% refund, W recorded) |
| October 17: |
Withdraw from this course (50% refund, W recorded) |
| October 24: |
Process a complete withdrawal (25% refund, W recorded) |
| October 24: |
Withdraw from this course (25% refund, W recorded) |
| November 14: |
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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