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: |
Henderson K |
Office:
333B Tykeson Hall
Phone:
(541) 346-0612
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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 |
23530 |
6 |
540 |
1215-1345 |
mw |
See DuckWeb |
Henderson K |
!8 |
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Associated Sections |
+ Dis |
23531 |
0 |
30 |
1530-1630 |
w |
See DuckWeb |
Shumaker J |
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+ Dis |
23532 |
0 |
30 |
1700-1800 |
w |
See DuckWeb |
Shumaker J |
|
+ Dis |
23533 |
1 |
30 |
0930-1030 |
r |
See DuckWeb |
Shumaker J |
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+ Dis |
23534 |
0 |
30 |
1100-1200 |
r |
See DuckWeb |
Shumaker J |
|
+ Dis |
23535 |
1 |
30 |
1530-1630 |
w |
See DuckWeb |
Haight S |
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+ Dis |
23536 |
0 |
30 |
1700-1800 |
w |
See DuckWeb |
Haight S |
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+ Dis |
23537 |
1 |
30 |
0930-1030 |
r |
See DuckWeb |
Haight S |
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+ Dis |
23538 |
0 |
30 |
1100-1200 |
r |
See DuckWeb |
Haight S |
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+ Dis |
23539 |
1 |
30 |
1530-1630 |
w |
See DuckWeb |
Bahrami G |
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+ Dis |
23540 |
0 |
30 |
1700-1800 |
w |
See DuckWeb |
Bahrami G |
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+ Dis |
23541 |
0 |
30 |
0930-1030 |
r |
See DuckWeb |
Bahrami G |
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+ Dis |
23542 |
0 |
30 |
1100-1200 |
r |
See DuckWeb |
Bahrami G |
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+ Dis |
23543 |
1 |
30 |
1530-1630 |
w |
See DuckWeb |
Soller D |
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+ Dis |
23544 |
0 |
30 |
1700-1800 |
w |
See DuckWeb |
Soller D |
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+ Dis |
23545 |
1 |
30 |
0930-1030 |
r |
See DuckWeb |
Soller D |
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+ Dis |
23546 |
0 |
30 |
1100-1200 |
r |
See DuckWeb |
Soller D |
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+ Dis |
23547 |
0 |
30 |
1530-1630 |
w |
See DuckWeb |
Ozbek A |
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+ Dis |
23548 |
0 |
30 |
1700-1800 |
w |
See DuckWeb |
Ozbek A |
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Academic Deadlines
| Deadline |
Last day to: |
| January 3: |
Process a complete drop (100% refund, no W recorded) |
| January 9: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| January 9: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| January 10: |
Process a complete withdrawal (90% refund, W recorded) |
| January 10: |
Withdraw from this course (100% refund, W recorded) |
| January 11: |
Add this course |
| January 11: |
Last day to change to or from audit |
| January 17: |
Process a complete withdrawal (75% refund, W recorded) |
| January 17: |
Withdraw from this course (75% refund, W recorded) |
| January 24: |
Process a complete withdrawal (50% refund, W recorded) |
| January 24: |
Withdraw from this course (50% refund, W recorded) |
| January 31: |
Process a complete withdrawal (25% refund, W recorded) |
| January 31: |
Withdraw from this course (25% refund, W recorded) |
| February 21: |
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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