Mathematics (MATH) |
202 Fenton, 541-346-4705
College of Arts & Sciences
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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:
215 Fenton Hall
Phone:
(541) 346-5630
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 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 |
14102 |
155 |
504 |
0815-0945 |
mw |
00 REMOTE |
Harker H |
! |
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Associated Sections |
+ Dis |
14094 |
0 |
28 |
1700-1800 |
r |
00 REMOTE |
Bodish H |
|
+ Dis |
14095 |
2 |
28 |
1700-1800 |
r |
00 REMOTE |
Casebolt R |
|
+ Dis |
14096 |
1 |
28 |
1830-1930 |
r |
00 REMOTE |
Casebolt R |
|
+ Dis |
14097 |
24 |
28 |
1830-1930 |
r |
00 REMOTE |
Bodish H |
|
+ Dis |
14098 |
1 |
28 |
0930-1030 |
r |
00 REMOTE |
Huchala A |
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+ Dis |
14099 |
0 |
28 |
0930-1030 |
r |
00 REMOTE |
McGinnis S |
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+ Dis |
14100 |
9 |
28 |
0800-0900 |
r |
00 REMOTE |
McGinnis S |
|
+ Dis |
14101 |
3 |
28 |
0800-0900 |
r |
00 REMOTE |
Huchala A |
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+ Dis |
14103 |
16 |
28 |
1830-1930 |
w |
00 REMOTE |
Bodish H |
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+ Dis |
14104 |
24 |
28 |
1830-1930 |
w |
00 REMOTE |
Casebolt R |
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+ Dis |
14105 |
1 |
28 |
1530-1630 |
w |
00 REMOTE |
McGinnis S |
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+ Dis |
14106 |
4 |
28 |
1530-1630 |
w |
00 REMOTE |
Huchala A |
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+ Dis |
14107 |
7 |
28 |
1700-1800 |
w |
00 REMOTE |
Casebolt R |
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+ Dis |
14108 |
13 |
28 |
1700-1800 |
w |
00 REMOTE |
McGinnis S |
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+ Dis |
14109 |
13 |
28 |
1700-1800 |
w |
00 REMOTE |
Hu Y |
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+ Dis |
14110 |
17 |
28 |
1700-1800 |
w |
00 REMOTE |
Huchala A |
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+ Dis |
14120 |
10 |
28 |
1700-1800 |
w |
00 REMOTE |
Bodish H |
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+ Dis |
14121 |
10 |
28 |
0800-0900 |
r |
00 REMOTE |
Hu Y |
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Academic Deadlines
| Deadline |
Last day to: |
| September 27: |
Process a complete drop (100% refund, no W recorded) |
| October 3: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| October 3: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| October 4: |
Process a complete withdrawal (90% refund, W recorded) |
| October 4: |
Withdraw from this course (100% refund, W recorded) |
| October 5: |
Add this course |
| October 5: |
Last day to change to or from audit |
| October 11: |
Process a complete withdrawal (75% refund, W recorded) |
| October 11: |
Withdraw from this course (75% refund, W recorded) |
| October 18: |
Process a complete withdrawal (50% refund, W recorded) |
| October 18: |
Withdraw from this course (50% refund, W recorded) |
| October 25: |
Process a complete withdrawal (25% refund, W recorded) |
| October 25: |
Withdraw from this course (25% refund, W recorded) |
| November 15: |
Withdraw from this course (0% refund, W recorded) |
| December 2: |
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. |
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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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