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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
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| Instructor: |
Sinha D |
Office:
307 Fenton Hall
Phone:
(541) 346-5627
|
 Prereqs/Comments: |
Prereq: MATH 101 or satisfactory placement test score; MATH 111Z recommended; a programmable calculator capable of displaying function graphs. |
| Course Materials |
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CRN |
Avail |
Max |
Time |
Day |
Location |
Instructor |
Notes |
Lecture |
15850 |
92 |
464 |
1600-1720 |
mw |
See DuckWeb |
Sinha D |
! |
Final Exam: |
1445-1645 |
t 12/05 |
See DuckWeb |
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Associated Sections |
+ Dis |
15851 |
7 |
20 |
0800-0850 |
r |
See DuckWeb |
Peters C |
! |
+ Dis |
15852 |
15 |
20 |
0800-0850 |
r |
See DuckWeb |
DressenWall A |
! |
+ Dis |
15853 |
17 |
20 |
0800-0850 |
r |
See DuckWeb |
Speckman J |
! |
+ Dis |
15854 |
16 |
20 |
0800-0850 |
r |
See DuckWeb |
Wang C |
! |
+ Dis |
15855 |
2 |
28 |
0900-0950 |
r |
See DuckWeb |
Speckman J |
! |
+ Dis |
15856 |
2 |
20 |
0900-0950 |
r |
See DuckWeb |
Wang C |
! |
+ Dis |
15857 |
2 |
28 |
0900-0950 |
r |
See DuckWeb |
DressenWall A |
! |
+ Dis |
15858 |
3 |
28 |
0900-0950 |
r |
See DuckWeb |
Peters C |
! |
+ Dis |
15859 |
1 |
28 |
1400-1450 |
r |
See DuckWeb |
Speckman J |
! |
+ Dis |
15860 |
0 |
28 |
1400-1450 |
r |
See DuckWeb |
DressenWall A |
! |
+ Dis |
15861 |
4 |
28 |
1400-1450 |
r |
See DuckWeb |
Peters C |
! |
+ Dis |
15862 |
7 |
28 |
1400-1450 |
r |
See DuckWeb |
Wang C |
! |
+ Dis |
15863 |
4 |
28 |
1400-1450 |
r |
See DuckWeb |
Fritze H |
! |
+ Dis |
15864 |
4 |
28 |
1500-1550 |
r |
See DuckWeb |
Wang C |
! |
+ Dis |
15865 |
0 |
28 |
1500-1550 |
r |
See DuckWeb |
DressenWall A |
! |
+ Dis |
15866 |
2 |
28 |
1500-1550 |
r |
See DuckWeb |
Speckman J |
! |
+ Dis |
15867 |
1 |
28 |
1500-1550 |
r |
See DuckWeb |
Peters C |
! |
+ Dis |
15868 |
5 |
28 |
1500-1550 |
r |
See DuckWeb |
Fritze H |
! |
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Academic Deadlines
| Deadline |
Last day to: |
| September 24: |
Process a complete drop (100% refund, no W recorded) |
| September 30: |
Drop this course (100% refund, no W recorded; after this date, W's are recorded) |
| September 30: |
Process a complete drop (90% refund, no W recorded; after this date, W's are recorded) |
| October 1: |
Process a complete withdrawal (90% refund, W recorded) |
| October 1: |
Withdraw from this course (100% refund, W recorded) |
| October 2: |
Add this course |
| October 2: |
Last day to change to or from audit |
| October 8: |
Process a complete withdrawal (75% refund, W recorded) |
| October 8: |
Withdraw from this course (75% refund, W recorded) |
| October 15: |
Process a complete withdrawal (50% refund, W recorded) |
| October 15: |
Withdraw from this course (50% refund, W recorded) |
| October 22: |
Process a complete withdrawal (25% refund, W recorded) |
| October 22: |
Withdraw from this course (25% refund, W recorded) |
| November 12: |
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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