Statistics I
Credits: 3 (45 hours)
Semester Dates:

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Materials/Lab Fees: $
Course Description:
An introduction to the basic ideas and techniques of probability and statistics. Topics may include numerical and graphical descriptive measures, probability, random variables, the normal distribution, sampling theory, estimation, hypothesis testing, correlation and regression. The use of technology may be required. Students must take a math assessment for placement purposes prior to registration.
Essential Objectives:
1. Outline the general development of statistical science, and list a number of common applications of statistical methodology. 2. Distinguish between descriptive and inferential statistics. 3. Create and apply various techniques used to describe data, such as pie charts, bar graphs, frequency tables, and histograms. 4. Define three common measures of central tendency (mean, median, and mode), and demonstrate the ability to calculate each manually from a series of small data sets. 5. Describe common methods of measuring variability, including range, percentiles, variance, and standard deviation, and calculate each from a series of small data sets. 6 Explain the Normal Probability Distribution, techniques of sampling, the Central Limit Theorem, and the concept of standard error, and compute probabilities associated with normally distributed samples. 7. Test hypotheses about the value of the mean assuming the normal distribution and large sample results. 8. Select and perform common statistical tests including one and twotailed tests. 9. Define linear regression and correlation and discuss their applications 10. Interpret and evaluate the validity of statistical data and reports. 11. Demonstrate proficiency in understanding, interpreting, evaluating and applying quantitative data and information.
Textbooks:
Fall 2014 textbook data will be uploaded on August 8. We strongly suggest that you verify the information below with our online bookseller EdMap before purchasing textbooks from another vendor. If your course is at the Winooski center, check the UVM Bookstore for textbook and pricing information.
Please note: In order to receive accommodations for disabilities in this course, students must make an appointment to see the Americans with Disabilities Coordinator in their site
and bring documentation with them.
Academic Honesty: CCV has a commitment to honesty and excellence in academic work and expects the same from all students. Academic dishonesty, or cheating, can occur whenever you present as your own work something that you did not do. You can also be guilty of cheating if you help someone else cheat. Being unaware of what constitutes academic dishonesty (such as knowing what plagiarism is) does not absolve a student of the responsibility to be honest in his/her academic work. Academic dishonesty is taken very seriously and may lead to dismissal from the College.
Course description details subject to change. Please refer to this document frequently.
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