Mathematics (MATH) |
218 Fenton, 346-4705
College of Arts & Sciences
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A - Mandatory Attendance
L - Course day/time/location changed; check course detail for more info
g - Graphing calculator may be required; TI-83, TI-83 Plus or TI-84 recommended
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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
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 Prereqs/Comments: |
Prereq: MATH 95 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 |
13680 |
8 |
496 |
0830-0950 |
wf |
See DuckWeb |
Harker H |
!Ag |
Final Exam: |
1015-1215 |
m 12/07 |
See DuckWeb |
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Associated Sections |
+ Dis |
13672 |
0 |
31 |
1600-1650 |
w |
See DuckWeb |
Bell T |
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+ Dis |
13673 |
0 |
31 |
1700-1750 |
w |
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Bell T |
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+ Dis |
13674 |
2 |
31 |
0800-0850 |
r |
See DuckWeb |
Bell T |
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+ Dis |
13675 |
0 |
31 |
0900-0950 |
r |
See DuckWeb |
Bell T |
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+ Dis |
13676 |
1 |
31 |
1600-1650 |
w |
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Detzel A |
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+ Dis |
13677 |
0 |
31 |
1700-1750 |
w |
See DuckWeb |
Detzel A |
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13678 |
1 |
31 |
0800-0850 |
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Detzel A |
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+ Dis |
13679 |
0 |
31 |
0900-0950 |
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Detzel A |
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+ Dis |
13681 |
1 |
31 |
1600-1650 |
w |
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Battiste J |
L |
+ Dis |
13682 |
0 |
31 |
1700-1750 |
w |
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Battiste J |
L |
+ Dis |
13683 |
1 |
31 |
0800-0850 |
r |
See DuckWeb |
Battiste J |
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+ Dis |
13684 |
0 |
31 |
0900-0950 |
r |
See DuckWeb |
Battiste J |
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+ Dis |
13685 |
0 |
31 |
1600-1650 |
w |
See DuckWeb |
Acker D |
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+ Dis |
13686 |
1 |
31 |
1700-1750 |
w |
See DuckWeb |
Acker D |
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+ Dis |
13687 |
1 |
31 |
0800-0850 |
r |
See DuckWeb |
Acker D |
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+ Dis |
13688 |
0 |
31 |
0900-0950 |
r |
See DuckWeb |
Acker D |
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Academic Deadlines
| Deadline |
Last day to: |
| September 28: |
Process a complete drop (100% refund, no W recorded) |
| October 4: |
Drop this course (100% refund, no W recorded) |
| October 4: |
Process a complete drop (90% refund, no W recorded) |
| October 5: |
Drop this course (75% refund, no W recorded; after this date, W's are recorded) |
| October 5: |
Process a complete drop (75% refund, no W recorded; after this date, W's are recorded) |
| October 7: |
Add this course |
| October 7: |
Last day to change to or from audit |
| October 11: |
Withdraw from this course (75% refund, W recorded) |
| October 18: |
Withdraw from this course (50% refund, W recorded) |
| October 25: |
Withdraw from this course (25% refund, W recorded) |
| November 15: |
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
| Text: "Basic Principles of Statistics", 3rd edition. Moore.
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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