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Fall 2021

 

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Mathematics (MATH)
202 Fenton, 541-346-4705
College of Arts & Sciences
8 - No cost for class textbook materials.
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
Instructor: Harker HE-mail Office:   108A University Hall
Phone:   (541) 346-5630
See CRN for CommentsPrereqs/Comments: Prereq: MATH 101 or satisfactory placement test score; MATH 111 recommended; a programmable calculator capable of displaying function graphs.
 
  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
 
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  

+ 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  

+ Dis

13924 0 24 0900-0950 r 106 UNIV Pohl K  

+ Dis

13925 0 23 0900-0950 r 125 LLCN Hunter N  

+ Dis

13926 0 23 1600-1650 w 242 GER Nordstrom V  

+ Dis

13927 0 23 1600-1650 w 208 UNIV Huchala A  

+ Dis

13928 0 23 1600-1650 w 115 LA Pohl K  

+ Dis

13929 0 23 1600-1650 w 110 FEN Hunter N  

+ Dis

13930 0 23 1700-1750 w 117 FEN Nordstrom V  

+ Dis

13931 0 24 1700-1750 w 119 FEN Huchala A  

+ Dis

13932 1 24 1700-1750 w 348 MCK Pohl K  

+ Dis

13933 0 23 1700-1750 w 9/27-11/17 121 MCK Hunter N  
1700-1750 w 11/18-12/05 103 PETR

+ Dis

13934 0 23 0800-0850 r 260 TYKE Wolff E  

+ Dis

13935 0 23 0900-0950 r 260 TYKE Wolff E  
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)
November 14:   Change grading option for this course
Caution 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.

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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Release: 8.9.1