Course Syllabus
Paul Smith’s College
MAT-210 On-Statistics Fall 2020
3 Credits
Instructor:Rebecca Sutter
Pickett Hall 216
(518) 327-6484
Office Hours:TBA
Class Meetings: on-line
Req’d Textbook: Statistics from OpenStax, ISBN 1-947172-05-0
Prerequisites:MAT 125 College Algebra or MAT 110 Finite Math
Course Description:
The use of probability techniques, hypothesis testing, and predictive techniques to facilitate decision-making. Topics include descriptive statistics; probability and sampling distributions; statistical inference; correlation and linear regression; analysis of variance, chi-square and t-tests; and application of technology for statistical analysis including the interpretation of the relevance of the statistical findings. Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education.
Student Learning Outcomes:
Upon successful completion of the course, students will be able to:
- Distinguish among different scales of measurement and their implications;
- Interpret data displayed in tables and graphically;
- Apply concepts of sample space and probability;
- Calculate measures of central tendency and variation for a given data set;
- Identify the standard methods of obtaining data and identify advantages and disadvantages of each;
- Calculate the mean and variance of a discrete distribution;
- Calculate probabilities using normal and student’s t-distributions;
- Distinguish the difference between sample and population distributions and analyze the role played by the Central Limit Theorem;
- Construct and interpret confidence intervals;
- Determine and interpret levels of statistical significance including p-values;
- Interpret the output of a technology-based statistical analysis;
- Identify the basic concept of hypothesis testing including Type I and II errors;
- Formulate hypothesis tests involving samples from one and two populations;
- Select the appropriate technique for testing a hypothesis and interpret the result;
- Use linear regression and ANOVA analysis for estimation and inference, and interpret the associated statistics; and
- Use appropriate statistical techniques to analyze and interpret applications based on data from disciplines including business, social sciences, psychology, life science, health science, and education.
Course Content:
- Summarizing data graphically and numerically;
- Descriptive statistics: measures of central tendency, variation, relative position, and levels/scales of measurement;
- Sample spaces and probability;
- Random variables and expected value;
- Sampling and sampling distributions;
- Discrete distributions – Binomial;
- Continuous distributions – Normal;
- The Central Limit Theorem;
- Estimation and confidence intervals;
- Hypothesis Testing and inference, including t-tests for one and two populations, and Chi-square test;
- Correlation and linear regression and analysis of variance (ANOVA);
- Applications using data from disciplines including business, social sciences, psychology, life science, health science, and education; and
- Statistical analysis using technology such as SPSS, EXCEL, Minitab, or graphing calculators.
Textbook:
Great news: your textbook for this class is available for free online!
Statistics from OpenStax, ISBN 1-947172-05-0
You have several options to obtain this book:
- View online (Links to an external site.) (Links to an external site.)
- Download a PDF (Links to an external site.) (Links to an external site.)
- Download on iBooks (Links to an external site.) (Links to an external site.)
You can use whichever formats you want. Web view is recommended -- the responsive design works seamlessly on any device.
Important Notes:
- All first week assignments need to be completed and submitted by the due date to avoid possibly being dropped from the class.
- Any student needing accommodations should inform the instructor. Students with disabilities who may need accommodations for this class are encouraged to notify the instructor and contact the Center for Accomodative Services (CAS) early in the semester so that reasonable accommodations may be implemented as soon as possible. Students may contact the CAS by visiting the Center (located in room JWAL209) or by phone (518) 327- 6415. All information will remain confidential.
Academic Honesty:
Paul Smith’s College (PSC) values intellectual integrity and the highest standards of academic conduct, as set forth in the Ten Principles of Academic Integrity. To be prepared to meet societal needs as leaders and role models, students must be educated in an ethical learning environment that promotes high standards of honor and integrity in scholastic work. Academic dishonesty undermines institutional integrity, threatens the academic fabric of the College, and is not an acceptable avenue to success. It diminishes the quality and value of PSC education. Fostering an appreciation for academic standards and values is a shared responsibility among students, faculty and staff. Therefore, the entire academic community must establish and enforce rules governing violations of academic honesty.
Academic Dishonesty:
Academic dishonesty is any treatment or representation of work as if one were fully responsible for it, when it is, in fact, the work of another person or work in which one has received unacknowledged assistance from others. It includes, but is not limited to:
- Submitting any fraudulent or plagiarized academic work. This includes, verbatim use of a quotation without quotation marks; use of another person’s idea or information without acknowledging your source; and submission of work prepared by another person as one’s own
- Giving or receiving answers and/or any materials pertinent to any academic work without the permission of the instructor
- Stealing, manipulating, or interfering with any academic work of another student
- Multiple uses of the same work, by presenting the same or substantially the same written work (or portion thereof) as part of the course requirements for more than one project or course, without the express prior written permission of the instructor(s) involved
Academic dishonesty is a serious violation that is counter to the purpose and aims of Paul Smith’s College. A substantiated case of academic dishonesty may result in:
- Permanent dismissal from the College
- Suspension for a designated period of time
- Lesser sanctions as deemed appropriate
Course Summary:
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